plain_text 健身房,凉亭
サンプル実行中にエラー発生。ターミナルの全文<br/>`studio.error.Error:尝试重置未完成的环境。当监视器对GazeboCircuitTurtlebotLidar-v0有效时,除非剧集结束,否则无法调用reset()。
gym-gazebo log 190305
ros@kasumi:~/gym-gazebo/gym_gazebo/envs/installation$ gymex
ros@kasumi:~/gym-gazebo/examples/turtlebot$ python
circuit2c_turtlebot_camera_dqn.py
circuit2_turtlebot_lidar_dqn.py
circuit2_turtlebot_lidar_qlearn.py
circuit2_turtlebot_lidar_sarsa.py
circuit_turtlebot_lidar_qlearn.py
deepq.py
liveplot.py
liveplot.pyc
maze_turtlebot_lidar_qlearn.py
memory.py
qlearn.py
qlearn.pyc
round_turtlebot_lidar_test.py
runtraining_dqn_circuit2_turtlebot_lidar.py
sarsa.py
ros@kasumi:~/gym-gazebo/examples/turtlebot$ python circuit_turtlebot_lidar_qlearn.py
Traceback (most recent call last):
File "circuit_turtlebot_lidar_qlearn.py", line 24, in <module>
env = gym.make('GazeboCircuitTurtlebotLidar-v0')
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 171, in make
return registry.make(id, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 123, in make
env = spec.make(**kwargs)
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 86, in make
cls = load(self._entry_point)
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 14, in load
result = entry_point.resolve()
File "/usr/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 2330, in resolve
module = __import__(self.module_name, fromlist=['__name__'], level=0)
File "/home/ros/gym-gazebo/gym_gazebo/envs/__init__.py", line 1, in <module>
from gym_gazebo.envs.gazebo_env import GazeboEnv
File "/home/ros/gym-gazebo/gym_gazebo/envs/gazebo_env.py", line 22
self.port = "11311"#str(random_number) #os.environ["ROS_PORT_SIM"]
^
IndentationError: unexpected indent
ros@kasumi:~/gym-gazebo/examples/turtlebot$ python circuit_turtlebot_lidar_qlearn.py
Traceback (most recent call last):
File "circuit_turtlebot_lidar_qlearn.py", line 24, in <module>
env = gym.make('GazeboCircuitTurtlebotLidar-v0')
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 171, in make
return registry.make(id, **kwargs)
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 123, in make
env = spec.make(**kwargs)
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 86, in make
cls = load(self._entry_point)
File "/usr/local/lib/python2.7/dist-packages/gym/envs/registration.py", line 14, in load
result = entry_point.resolve()
File "/usr/lib/python2.7/dist-packages/pkg_resources/__init__.py", line 2330, in resolve
module = __import__(self.module_name, fromlist=['__name__'], level=0)
File "/home/ros/gym-gazebo/gym_gazebo/envs/__init__.py", line 1, in <module>
from gym_gazebo.envs.gazebo_env import GazeboEnv
File "/home/ros/gym-gazebo/gym_gazebo/envs/gazebo_env.py", line 27
SyntaxError: Non-ASCII character '\xe6' in file /home/ros/gym-gazebo/gym_gazebo/envs/gazebo_env.py on line 27, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details
ros@kasumi:~/gym-gazebo/examples/turtlebot$ python circuit_turtlebot_lidar_qlearn.py
ROS_MASTER_URI=http://localhost:11311
GAZEBO_MASTER_URI=http://localhost:11345
Gazebo launched!
Unable to register with master node [http://192.168.189.154:11311]: master may not be running yet. Will keep trying.
... logging to /home/ros/.ros/log/126517fc-3f2c-11e9-804e-f46d04adad21/roslaunch-kasumi-22851.log
Checking log directory for disk usage. This may take awhile.
Press Ctrl-C to interrupt
Done checking log file disk usage. Usage is <1GB.
xacro: in-order processing became default in ROS Melodic. You can drop the option.
started roslaunch server http://kasumi:33977/
SUMMARY
========
PARAMETERS
* /bumper2pointcloud/pointcloud_radius: 0.24
* /cmd_vel_mux/yaml_cfg_file: /home/ros/gym-gaz...
* /gazebo/enable_ros_network: True
* /robot_description: <?xml version="1....
* /robot_state_publisher/publish_frequency: 30.0
* /rosdistro: melodic
* /rosversion: 1.14.3
* /use_sim_time: True
NODES
/
bumper2pointcloud (nodelet/nodelet)
cmd_vel_mux (nodelet/nodelet)
gazebo (gazebo_ros/gzserver)
mobile_base_nodelet_manager (nodelet/nodelet)
robot_state_publisher (robot_state_publisher/robot_state_publisher)
spawn_turtlebot_model (gazebo_ros/spawn_model)
auto-starting new master
process[master]: started with pid [22877]
ROS_MASTER_URI=http://kasumi:11311/
setting /run_id to 126517fc-3f2c-11e9-804e-f46d04adad21
process[rosout-1]: started with pid [22905]
started core service [/rosout]
process[gazebo-2]: started with pid [22912]
process[spawn_turtlebot_model-3]: started with pid [22917]
process[mobile_base_nodelet_manager-4]: started with pid [22918]
process[cmd_vel_mux-5]: started with pid [22919]
process[bumper2pointcloud-6]: started with pid [22920]
process[robot_state_publisher-7]: started with pid [22922]
Gazebo multi-robot simulator, version 9.0.0
Copyright (C) 2012 Open Source Robotics Foundation.
Released under the Apache 2 License.
http://gazebosim.org
[ INFO] [1551779415.295021861]: waitForService: Service [/gazebo/set_physics_properties] has not been advertised, waiting...
[ INFO] [1551779415.296198465]: Finished loading Gazebo ROS API Plugin.
[Msg] Waiting for master.
[Msg] Connected to gazebo master @ http://192.168.189.154:11345
[Msg] Publicized address: 192.168.189.154
[ INFO] [1551779415.866933783, 0.770000000]: waitForService: Service [/gazebo/set_physics_properties] is now available.
[ INFO] [1551779415.906656155, 12.840000000]: Physics dynamic reconfigure ready.
[ERROR] [1551779416.162904, 53.110000]: Spawn service failed. Exiting.
[spawn_turtlebot_model-3] process has died [pid 22917, exit code 1, cmd /home/ros/gym-gazebo/gym_gazebo/envs/installation/catkin_ws/src/gazebo_ros_pkgs/gazebo_ros/scripts/spawn_model -unpause -urdf -param robot_description -model mobile_base __name:=spawn_turtlebot_model __log:=/home/ros/.ros/log/126517fc-3f2c-11e9-804e-f46d04adad21/spawn_turtlebot_model-3.log].
log file: /home/ros/.ros/log/126517fc-3f2c-11e9-804e-f46d04adad21/spawn_turtlebot_model-3*.log
[ INFO] [1551779416.560433625, 56.580000000]: Camera Plugin: Using the 'robotNamespace' param: '/'
[ INFO] [1551779416.569623224, 56.580000000]: Camera Plugin (ns = /) <tf_prefix_>, set to ""
[Wrn] [msgs.cc:1852] Conversion of sensor type[depth] not supported.
[ INFO] [1551779416.671097195, 56.580000000]: Laser Plugin: Using the 'robotNamespace' param: '/'
[ INFO] [1551779416.671233560, 56.580000000]: Starting Laser Plugin (ns = /)
[ INFO] [1551779416.673410794, 56.580000000]: Laser Plugin (ns = /) <tf_prefix_>, set to ""
[ INFO] [1551779416.739750758, 56.580000000]: Starting plugin Kobuki(ns = //)
[ WARN] [1551779416.739880521, 56.580000000]: Kobuki(ns = //): missing <rosDebugLevel> default is na
[ INFO] [1551779416.740622592, 56.580000000]: Kobuki(ns = //): <tf_prefix> =
[Dbg] [gazebo_ros_kobuki.cpp:63] Plugin model name: mobile_base
[ INFO] [1551779416.741006963, 56.580000000]: Will publish tf. [mobile_base]
[ INFO] [1551779416.742907177, 56.580000000]: Kobuki(ns = //): Advertise joint_states[joint_states]!
[ INFO] [1551779416.743460104, 56.580000000]: Kobuki(ns = //): Advertise Odometry[odom]!
[ INFO] [1551779416.746625874, 56.580000000]: Kobuki(ns = //): Try to subscribe to mobile_base/commands/motor_power!
[ INFO] [1551779416.749419840, 56.580000000]: Kobuki(ns = //): Try to subscribe to mobile_base/commands/reset_odometry!
[ INFO] [1551779416.753078093, 56.580000000]: Kobuki(ns = //): Try to subscribe to mobile_base/commands/velocity!
[ INFO] [1551779416.753766700, 56.580000000]: Kobuki(ns = //): Advertise Cliff[mobile_base/events/cliff]!
[ INFO] [1551779416.754313184, 56.580000000]: Kobuki(ns = //): Advertise Bumper[mobile_base/events/bumper]!
[ INFO] [1551779416.754857358, 56.580000000]: Kobuki(ns = //): Advertise IMU[mobile_base/sensors/imu_data]!
[ INFO] [1551779416.754893331, 56.580000000]: GazeboRosKobuki plugin ready to go! [mobile_base]
[Wrn] [Publisher.cc:141] Queue limit reached for topic /gazebo/default/pose/local/info, deleting message. This warning is printed only once.
[Wrn] [msgs.cc:1852] Conversion of sensor type[depth] not supported.
EP: 1 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.9] - Reward: -42 Time: 0:00:04
EP: 2 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.9] - Reward: -177 Time: 0:00:04
EP: 3 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.9] - Reward: -174 Time: 0:00:04
EP: 4 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.9] - Reward: -116 Time: 0:00:05
EP: 5 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.9] - Reward: -171 Time: 0:00:05
EP: 6 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -175 Time: 0:00:06
^TEP: 7 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -22 Time: 0:00:08
EP: 8 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -172 Time: 0:00:09
EP: 9 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -37 Time: 0:00:11
EP: 10 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -175 Time: 0:00:11
EP: 11 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -22 Time: 0:00:13
EP: 12 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -106 Time: 0:00:15
EP: 13 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -174 Time: 0:00:15
EP: 14 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -28 Time: 0:00:17
EP: 15 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -37 Time: 0:00:19
EP: 16 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.89] - Reward: -20 Time: 0:00:21
EP: 17 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -175 Time: 0:00:22
EP: 18 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -45 Time: 0:00:24
EP: 19 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -43 Time: 0:00:26
EP: 20 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -173 Time: 0:00:26
EP: 21 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -65 Time: 0:00:28
EP: 22 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -175 Time: 0:00:29
EP: 23 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -84 Time: 0:00:30
EP: 24 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -167 Time: 0:00:31
EP: 25 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -40 Time: 0:00:32
EP: 26 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -173 Time: 0:00:33
EP: 27 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -175 Time: 0:00:33
EP: 28 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.88] - Reward: -176 Time: 0:00:33
EP: 29 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -35 Time: 0:00:36
EP: 30 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -176 Time: 0:00:36
[Wrn] [msgs.cc:1852] Conversion of sensor type[depth] not supported.
EP: 31 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -41 Time: 0:00:38
[Wrn] [msgs.cc:1852] Conversion of sensor type[depth] not supported.
EP: 32 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -146 Time: 0:00:39
EP: 33 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -107 Time: 0:00:41
EP: 34 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -40 Time: 0:00:43
EP: 35 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -174 Time: 0:00:43
EP: 36 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -26 Time: 0:00:46
EP: 37 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -35 Time: 0:00:47
EP: 38 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -99 Time: 0:00:49
EP: 39 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.87] - Reward: -171 Time: 0:00:50
EP: 40 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -52 Time: 0:00:51
EP: 41 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -24 Time: 0:00:55
EP: 42 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -108 Time: 0:00:56
EP: 43 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -143 Time: 0:00:57
EP: 44 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -31 Time: 0:00:59
EP: 45 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -174 Time: 0:00:59
EP: 46 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -66 Time: 0:01:02
EP: 47 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -175 Time: 0:01:02
EP: 48 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -37 Time: 0:01:04
EP: 49 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -33 Time: 0:01:07
EP: 50 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -31 Time: 0:01:09
EP: 51 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.86] - Reward: -34 Time: 0:01:11
EP: 52 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -36 Time: 0:01:13
EP: 53 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -40 Time: 0:01:15
EP: 54 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -61 Time: 0:01:18
EP: 55 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -21 Time: 0:01:21
EP: 56 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -173 Time: 0:01:21
EP: 57 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -67 Time: 0:01:24
EP: 58 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -49 Time: 0:01:26
EP: 59 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -80 Time: 0:01:28
EP: 60 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -176 Time: 0:01:28
EP: 61 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -76 Time: 0:01:30
EP: 62 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -79 Time: 0:01:32
EP: 63 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.85] - Reward: -38 Time: 0:01:34
EP: 64 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -40 Time: 0:01:36
EP: 65 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -46 Time: 0:01:38
EP: 66 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -14 Time: 0:01:40
EP: 67 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -32 Time: 0:01:43
EP: 68 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -168 Time: 0:01:43
EP: 69 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -44 Time: 0:01:46
EP: 70 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -9 Time: 0:01:49
EP: 71 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: 35 Time: 0:01:52
EP: 72 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -42 Time: 0:01:54
EP: 73 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: 32 Time: 0:01:58
EP: 74 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.84] - Reward: -46 Time: 0:02:00
EP: 75 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -37 Time: 0:02:02
EP: 76 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -176 Time: 0:02:02
EP: 77 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: 106 Time: 0:02:07
EP: 78 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -36 Time: 0:02:09
EP: 79 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -27 Time: 0:02:12
EP: 80 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -175 Time: 0:02:12
EP: 81 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -138 Time: 0:02:13
EP: 82 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -33 Time: 0:02:15
EP: 83 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -40 Time: 0:02:17
EP: 84 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -30 Time: 0:02:20
EP: 85 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: -49 Time: 0:02:22
EP: 86 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.83] - Reward: 29 Time: 0:02:26
EP: 87 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -19 Time: 0:02:29
EP: 88 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -34 Time: 0:02:31
EP: 89 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -37 Time: 0:02:33
EP: 90 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -174 Time: 0:02:33
EP: 91 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -168 Time: 0:02:34
EP: 92 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: 26 Time: 0:02:37
EP: 93 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -175 Time: 0:02:38
EP: 94 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -175 Time: 0:02:38
EP: 95 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -177 Time: 0:02:38
EP: 96 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: 101 Time: 0:02:42
EP: 97 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -26 Time: 0:02:45
EP: 98 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -66 Time: 0:02:47
EP: 99 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.82] - Reward: -50 Time: 0:02:48
EP: 100 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -43 Time: 0:02:50
EP: 101 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -62 Time: 0:02:52
EP: 102 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -29 Time: 0:02:54
EP: 103 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -37 Time: 0:02:56
EP: 104 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -6 Time: 0:02:59
EP: 105 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -10 Time: 0:03:02
EP: 106 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -34 Time: 0:03:04
EP: 107 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -48 Time: 0:03:06
EP: 108 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -24 Time: 0:03:09
EP: 109 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -41 Time: 0:03:11
EP: 110 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -24 Time: 0:03:14
EP: 111 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.81] - Reward: -2 Time: 0:03:17
EP: 112 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -177 Time: 0:03:17
EP: 113 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -69 Time: 0:03:20
EP: 114 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -8 Time: 0:03:22
EP: 115 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -32 Time: 0:03:25
EP: 116 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -41 Time: 0:03:27
EP: 117 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -29 Time: 0:03:29
EP: 118 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -57 Time: 0:03:31
EP: 119 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -50 Time: 0:03:33
EP: 120 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -175 Time: 0:03:34
EP: 121 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -37 Time: 0:03:36
EP: 122 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -37 Time: 0:03:38
EP: 123 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.8] - Reward: -20 Time: 0:03:41
EP: 124 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: -170 Time: 0:03:42
EP: 125 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: -165 Time: 0:03:42
EP: 126 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 7 Time: 0:03:46
EP: 127 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 8 Time: 0:03:49
EP: 128 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: -30 Time: 0:03:51
EP: 129 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 46 Time: 0:03:55
EP: 130 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 7 Time: 0:03:59
EP: 131 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 16 Time: 0:04:02
EP: 132 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: -133 Time: 0:04:03
EP: 133 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: -174 Time: 0:04:03
EP: 134 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 20 Time: 0:04:06
EP: 135 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 18 Time: 0:04:10
EP: 136 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.79] - Reward: 15 Time: 0:04:14
EP: 137 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -152 Time: 0:04:14
EP: 138 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -15 Time: 0:04:17
EP: 139 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: 119 Time: 0:04:23
EP: 140 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -174 Time: 0:04:23
EP: 141 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -110 Time: 0:04:25
EP: 142 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -175 Time: 0:04:25
EP: 143 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: 11 Time: 0:04:27
EP: 144 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: 14 Time: 0:04:31
EP: 145 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -175 Time: 0:04:31
EP: 146 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: 39 Time: 0:04:34
EP: 147 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -63 Time: 0:04:36
EP: 148 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: 17 Time: 0:04:40
EP: 149 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.78] - Reward: -178 Time: 0:04:40
EP: 150 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -172 Time: 0:04:41
EP: 151 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -30 Time: 0:04:44
EP: 152 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: 9 Time: 0:04:47
EP: 153 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: 60 Time: 0:04:51
EP: 154 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -171 Time: 0:04:51
EP: 155 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -81 Time: 0:04:54
EP: 156 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -49 Time: 0:04:56
EP: 157 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: 2 Time: 0:04:59
EP: 158 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -165 Time: 0:05:00
EP: 159 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -84 Time: 0:05:02
EP: 160 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: 60 Time: 0:05:05
EP: 161 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: 11 Time: 0:05:09
EP: 162 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.77] - Reward: -78 Time: 0:05:11
EP: 163 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: 49 Time: 0:05:14
EP: 164 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -64 Time: 0:05:16
EP: 165 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -54 Time: 0:05:17
EP: 166 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -4 Time: 0:05:20
EP: 167 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -87 Time: 0:05:21
EP: 168 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -166 Time: 0:05:22
EP: 169 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -75 Time: 0:05:24
EP: 170 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -36 Time: 0:05:26
EP: 171 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -89 Time: 0:05:28
EP: 172 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -31 Time: 0:05:30
EP: 173 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -45 Time: 0:05:33
EP: 174 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -69 Time: 0:05:35
EP: 175 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.76] - Reward: -24 Time: 0:05:37
EP: 176 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -175 Time: 0:05:38
EP: 177 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -173 Time: 0:05:39
EP: 178 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -169 Time: 0:05:39
EP: 179 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -169 Time: 0:05:40
EP: 180 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -18 Time: 0:05:43
EP: 181 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -38 Time: 0:05:45
EP: 182 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -42 Time: 0:05:48
EP: 183 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: 23 Time: 0:05:51
EP: 184 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -167 Time: 0:05:52
EP: 185 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -28 Time: 0:05:55
EP: 186 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -81 Time: 0:05:57
EP: 187 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -46 Time: 0:05:59
EP: 188 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.75] - Reward: -88 Time: 0:06:00
EP: 189 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -27 Time: 0:06:03
EP: 190 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -53 Time: 0:06:05
EP: 191 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -175 Time: 0:06:05
EP: 192 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -161 Time: 0:06:06
EP: 193 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -95 Time: 0:06:07
EP: 194 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -93 Time: 0:06:08
EP: 195 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -142 Time: 0:06:09
EP: 196 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -162 Time: 0:06:10
EP: 197 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -29 Time: 0:06:13
EP: 198 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: 11 Time: 0:06:17
EP: 199 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: 31 Time: 0:06:19
EP: 200 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -167 Time: 0:06:20
EP: 201 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -38 Time: 0:06:22
EP: 202 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.74] - Reward: -37 Time: 0:06:25
EP: 203 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -169 Time: 0:06:25
EP: 204 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -90 Time: 0:06:27
EP: 205 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -23 Time: 0:06:31
EP: 206 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -35 Time: 0:06:33
EP: 207 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -89 Time: 0:06:34
EP: 208 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -33 Time: 0:06:37
EP: 209 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -89 Time: 0:06:39
EP: 210 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -48 Time: 0:06:40
EP: 211 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -97 Time: 0:06:41
EP: 212 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -35 Time: 0:06:44
EP: 213 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: 75 Time: 0:06:50
EP: 214 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -52 Time: 0:06:51
EP: 215 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -88 Time: 0:06:53
EP: 216 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.73] - Reward: -26 Time: 0:06:57
EP: 217 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -46 Time: 0:06:59
EP: 218 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: 74 Time: 0:07:04
EP: 219 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -38 Time: 0:07:07
EP: 220 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -68 Time: 0:07:09
EP: 221 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -45 Time: 0:07:11
EP: 222 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -38 Time: 0:07:14
EP: 223 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -79 Time: 0:07:16
EP: 224 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -12 Time: 0:07:19
EP: 225 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -74 Time: 0:07:21
EP: 226 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -41 Time: 0:07:24
EP: 227 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -88 Time: 0:07:26
EP: 228 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -169 Time: 0:07:26
EP: 229 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.72] - Reward: -48 Time: 0:07:29
EP: 230 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: 24 Time: 0:07:33
EP: 231 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: 14 Time: 0:07:36
EP: 232 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -35 Time: 0:07:39
EP: 233 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -30 Time: 0:07:42
EP: 234 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -29 Time: 0:07:45
EP: 235 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -38 Time: 0:07:47
EP: 236 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -78 Time: 0:07:50
EP: 237 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -84 Time: 0:07:52
EP: 238 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: 5 Time: 0:07:56
EP: 239 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: 14 Time: 0:07:59
EP: 240 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -33 Time: 0:08:02
EP: 241 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: 15 Time: 0:08:06
EP: 242 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -92 Time: 0:08:07
EP: 243 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -1 Time: 0:08:11
EP: 244 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.71] - Reward: -40 Time: 0:08:13
EP: 245 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -73 Time: 0:08:16
EP: 246 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -74 Time: 0:08:18
EP: 247 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: 19 Time: 0:08:22
EP: 248 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: 11 Time: 0:08:26
EP: 249 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -79 Time: 0:08:29
EP: 250 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -81 Time: 0:08:31
EP: 251 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -126 Time: 0:08:33
EP: 252 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: 15 Time: 0:08:37
EP: 253 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -169 Time: 0:08:37
EP: 254 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -55 Time: 0:08:39
EP: 255 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -20 Time: 0:08:42
EP: 256 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -166 Time: 0:08:43
EP: 257 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -41 Time: 0:08:46
EP: 258 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.7] - Reward: -170 Time: 0:08:47
EP: 259 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -4 Time: 0:08:49
EP: 260 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -15 Time: 0:08:53
EP: 261 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -31 Time: 0:08:56
EP: 262 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: 27 Time: 0:08:59
EP: 263 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: 47 Time: 0:09:03
EP: 264 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -33 Time: 0:09:06
EP: 265 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: 11 Time: 0:09:11
EP: 266 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -53 Time: 0:09:13
EP: 267 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -45 Time: 0:09:15
EP: 268 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -88 Time: 0:09:17
EP: 269 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -52 Time: 0:09:18
EP: 270 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -41 Time: 0:09:21
EP: 271 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: 23 Time: 0:09:25
EP: 272 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.69] - Reward: -54 Time: 0:09:27
EP: 273 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: 13 Time: 0:09:30
EP: 274 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -147 Time: 0:09:31
EP: 275 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -28 Time: 0:09:35
EP: 276 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -41 Time: 0:09:37
EP: 277 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -22 Time: 0:09:40
EP: 278 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -30 Time: 0:09:43
EP: 279 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: 21 Time: 0:09:47
EP: 280 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -34 Time: 0:09:50
EP: 281 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -34 Time: 0:09:53
EP: 282 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -56 Time: 0:09:54
EP: 283 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: 64 Time: 0:09:59
EP: 284 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -22 Time: 0:10:02
EP: 285 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -168 Time: 0:10:02
EP: 286 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: 12 Time: 0:10:06
EP: 287 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.68] - Reward: -44 Time: 0:10:08
EP: 288 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -20 Time: 0:10:12
EP: 289 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -53 Time: 0:10:13
EP: 290 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -35 Time: 0:10:16
EP: 291 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -35 Time: 0:10:19
EP: 292 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -23 Time: 0:10:22
EP: 293 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -34 Time: 0:10:25
EP: 294 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -153 Time: 0:10:26
EP: 295 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -35 Time: 0:10:28
EP: 296 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -76 Time: 0:10:30
EP: 297 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -27 Time: 0:10:33
EP: 298 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -105 Time: 0:10:34
EP: 299 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -39 Time: 0:10:37
EP: 300 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -97 Time: 0:10:38
EP: 301 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -174 Time: 0:10:39
EP: 302 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.67] - Reward: -171 Time: 0:10:40
EP: 303 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -33 Time: 0:10:43
EP: 304 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -18 Time: 0:10:46
EP: 305 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -35 Time: 0:10:49
EP: 306 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: 24 Time: 0:10:53
EP: 307 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -96 Time: 0:10:54
EP: 308 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -36 Time: 0:10:57
EP: 309 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -29 Time: 0:11:01
EP: 310 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -46 Time: 0:11:02
EP: 311 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -173 Time: 0:11:03
EP: 312 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -34 Time: 0:11:06
EP: 313 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -51 Time: 0:11:07
EP: 314 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -38 Time: 0:11:10
EP: 315 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -40 Time: 0:11:12
EP: 316 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: -38 Time: 0:11:15
EP: 317 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.66] - Reward: 54 Time: 0:11:19
EP: 318 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -44 Time: 0:11:22
EP: 319 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -42 Time: 0:11:24
EP: 320 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -43 Time: 0:11:26
EP: 321 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -43 Time: 0:11:28
EP: 322 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -44 Time: 0:11:31
EP: 323 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: 49 Time: 0:11:35
EP: 324 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -35 Time: 0:11:38
EP: 325 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -37 Time: 0:11:41
EP: 326 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -172 Time: 0:11:41
EP: 327 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -170 Time: 0:11:42
EP: 328 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -41 Time: 0:11:44
EP: 329 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -41 Time: 0:11:46
EP: 330 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -40 Time: 0:11:50
EP: 331 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -39 Time: 0:11:53
EP: 332 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.65] - Reward: -50 Time: 0:11:54
EP: 333 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -107 Time: 0:11:56
EP: 334 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -149 Time: 0:11:56
EP: 335 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -23 Time: 0:12:00
EP: 336 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -50 Time: 0:12:02
EP: 337 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -38 Time: 0:12:04
EP: 338 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -126 Time: 0:12:05
EP: 339 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -35 Time: 0:12:09
EP: 340 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -32 Time: 0:12:12
EP: 341 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -35 Time: 0:12:14
EP: 342 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -35 Time: 0:12:17
EP: 343 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: 58 Time: 0:12:22
EP: 344 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -53 Time: 0:12:23
EP: 345 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -30 Time: 0:12:27
EP: 346 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: 36 Time: 0:12:30
EP: 347 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: 16 Time: 0:12:34
EP: 348 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.64] - Reward: -46 Time: 0:12:37
EP: 349 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -42 Time: 0:12:39
EP: 350 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -41 Time: 0:12:42
EP: 351 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -48 Time: 0:12:44
EP: 352 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -31 Time: 0:12:47
EP: 353 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -36 Time: 0:12:50
EP: 354 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -37 Time: 0:12:52
EP: 355 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -46 Time: 0:12:55
EP: 356 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: 12 Time: 0:12:58
EP: 357 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -23 Time: 0:13:02
EP: 358 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -46 Time: 0:13:05
EP: 359 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: 4 Time: 0:13:07
EP: 360 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: 58 Time: 0:13:13
EP: 361 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -28 Time: 0:13:16
EP: 362 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -38 Time: 0:13:19
EP: 363 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -9 Time: 0:13:23
EP: 364 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.63] - Reward: -28 Time: 0:13:26
EP: 365 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: 1 Time: 0:13:29
EP: 366 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: 40 Time: 0:13:33
EP: 367 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: 30 Time: 0:13:36
EP: 368 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -40 Time: 0:13:39
EP: 369 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -40 Time: 0:13:41
EP: 370 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -42 Time: 0:13:44
EP: 371 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -50 Time: 0:13:47
EP: 372 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -50 Time: 0:13:49
EP: 373 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: 33 Time: 0:13:52
EP: 374 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -44 Time: 0:13:54
EP: 375 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -42 Time: 0:13:57
EP: 376 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -41 Time: 0:14:00
EP: 377 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -51 Time: 0:14:02
EP: 378 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: 1 Time: 0:14:05
EP: 379 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -158 Time: 0:14:06
EP: 380 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.62] - Reward: -44 Time: 0:14:08
EP: 381 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -132 Time: 0:14:09
EP: 382 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -39 Time: 0:14:12
EP: 383 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -38 Time: 0:14:14
EP: 384 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -17 Time: 0:14:17
EP: 385 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -42 Time: 0:14:19
EP: 386 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: 7 Time: 0:14:23
EP: 387 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -48 Time: 0:14:25
EP: 388 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -7 Time: 0:14:29
EP: 389 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -137 Time: 0:14:30
EP: 390 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: 20 Time: 0:14:35
EP: 391 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -41 Time: 0:14:37
EP: 392 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -38 Time: 0:14:40
EP: 393 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -31 Time: 0:14:43
EP: 394 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: 20 Time: 0:14:47
EP: 395 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -47 Time: 0:14:49
EP: 396 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.61] - Reward: -37 Time: 0:14:51
EP: 397 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 40 Time: 0:14:54
EP: 398 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -44 Time: 0:14:57
EP: 399 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 20 Time: 0:15:01
EP: 400 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -40 Time: 0:15:04
EP: 401 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 20 Time: 0:15:08
EP: 402 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 44 Time: 0:15:12
EP: 403 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -70 Time: 0:15:14
EP: 404 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 42 Time: 0:15:18
EP: 405 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -170 Time: 0:15:19
EP: 406 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 6 Time: 0:15:22
EP: 407 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -1 Time: 0:15:25
EP: 408 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -29 Time: 0:15:29
EP: 409 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 46 Time: 0:15:33
EP: 410 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -140 Time: 0:15:34
EP: 411 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: 7 Time: 0:15:38
EP: 412 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -33 Time: 0:15:41
EP: 413 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.6] - Reward: -41 Time: 0:15:43
EP: 414 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -36 Time: 0:15:46
EP: 415 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -49 Time: 0:15:48
EP: 416 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -37 Time: 0:15:51
EP: 417 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -44 Time: 0:15:52
EP: 418 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -25 Time: 0:15:56
EP: 419 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -22 Time: 0:15:59
EP: 420 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -44 Time: 0:16:01
EP: 421 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -54 Time: 0:16:04
EP: 422 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: 8 Time: 0:16:08
EP: 423 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -172 Time: 0:16:09
EP: 424 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -38 Time: 0:16:12
EP: 425 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -44 Time: 0:16:14
EP: 426 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: 38 Time: 0:16:18
EP: 427 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: 25 Time: 0:16:22
EP: 428 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -34 Time: 0:16:24
EP: 429 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -171 Time: 0:16:25
EP: 430 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.59] - Reward: -16 Time: 0:16:28
EP: 431 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -44 Time: 0:16:30
EP: 432 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -122 Time: 0:16:32
EP: 433 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -44 Time: 0:16:34
EP: 434 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: 16 Time: 0:16:38
EP: 435 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: 69 Time: 0:16:42
EP: 436 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -169 Time: 0:16:42
EP: 437 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -165 Time: 0:16:43
EP: 438 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -39 Time: 0:16:46
EP: 439 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -31 Time: 0:16:49
EP: 440 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -22 Time: 0:16:52
EP: 441 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -41 Time: 0:16:54
EP: 442 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -40 Time: 0:16:56
EP: 443 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -32 Time: 0:16:59
EP: 444 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -43 Time: 0:17:01
EP: 445 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -63 Time: 0:17:02
EP: 446 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -29 Time: 0:17:05
EP: 447 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.58] - Reward: -42 Time: 0:17:07
EP: 448 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -134 Time: 0:17:08
EP: 449 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -31 Time: 0:17:11
EP: 450 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -114 Time: 0:17:13
EP: 451 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -42 Time: 0:17:15
EP: 452 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -45 Time: 0:17:17
EP: 453 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -53 Time: 0:17:19
EP: 454 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -35 Time: 0:17:21
EP: 455 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -155 Time: 0:17:22
EP: 456 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -115 Time: 0:17:24
EP: 457 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -32 Time: 0:17:27
EP: 458 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -37 Time: 0:17:30
EP: 459 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -43 Time: 0:17:33
EP: 460 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -23 Time: 0:17:36
EP: 461 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -46 Time: 0:17:37
EP: 462 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -47 Time: 0:17:40
EP: 463 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: 9 Time: 0:17:43
EP: 464 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -44 Time: 0:17:45
EP: 465 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.57] - Reward: -33 Time: 0:17:48
EP: 466 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -140 Time: 0:17:49
EP: 467 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -29 Time: 0:17:51
EP: 468 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -143 Time: 0:17:52
EP: 469 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: 27 Time: 0:17:56
EP: 470 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -32 Time: 0:17:59
EP: 471 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -37 Time: 0:18:02
EP: 472 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -49 Time: 0:18:04
EP: 473 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -50 Time: 0:18:06
EP: 474 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -37 Time: 0:18:09
EP: 475 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -31 Time: 0:18:12
EP: 476 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -34 Time: 0:18:14
EP: 477 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -28 Time: 0:18:17
EP: 478 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -61 Time: 0:18:18
EP: 479 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: 12 Time: 0:18:22
EP: 480 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -39 Time: 0:18:25
EP: 481 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -46 Time: 0:18:27
EP: 482 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -32 Time: 0:18:29
EP: 483 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.56] - Reward: -36 Time: 0:18:32
EP: 484 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -35 Time: 0:18:35
EP: 485 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: 46 Time: 0:18:39
EP: 486 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -41 Time: 0:18:41
EP: 487 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -33 Time: 0:18:44
EP: 488 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -38 Time: 0:18:46
EP: 489 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -38 Time: 0:18:49
EP: 490 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -55 Time: 0:18:51
EP: 491 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -35 Time: 0:18:54
EP: 492 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -33 Time: 0:18:57
EP: 493 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -168 Time: 0:18:57
EP: 494 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: 34 Time: 0:19:01
EP: 495 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: 6 Time: 0:19:04
EP: 496 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -170 Time: 0:19:05
EP: 497 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -121 Time: 0:19:06
EP: 498 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -42 Time: 0:19:08
EP: 499 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -49 Time: 0:19:10
EP: 500 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -38 Time: 0:19:13
EP: 501 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.55] - Reward: -36 Time: 0:19:15
EP: 502 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: 46 Time: 0:19:19
EP: 503 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -170 Time: 0:19:19
EP: 504 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -32 Time: 0:19:22
EP: 505 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -55 Time: 0:19:24
EP: 506 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: 10 Time: 0:19:28
EP: 507 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -31 Time: 0:19:31
EP: 508 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -30 Time: 0:19:35
EP: 509 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -39 Time: 0:19:38
EP: 510 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -42 Time: 0:19:41
EP: 511 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: 40 Time: 0:19:45
EP: 512 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -172 Time: 0:19:45
EP: 513 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -34 Time: 0:19:48
EP: 514 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -55 Time: 0:19:50
EP: 515 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -33 Time: 0:19:52
EP: 516 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -43 Time: 0:19:54
EP: 517 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -34 Time: 0:19:57
EP: 518 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -39 Time: 0:20:00
EP: 519 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.54] - Reward: -39 Time: 0:20:03
EP: 520 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -144 Time: 0:20:04
EP: 521 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -37 Time: 0:20:07
EP: 522 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -45 Time: 0:20:09
EP: 523 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -125 Time: 0:20:10
EP: 524 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -43 Time: 0:20:12
EP: 525 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -172 Time: 0:20:12
EP: 526 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -36 Time: 0:20:15
EP: 527 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: 19 Time: 0:20:20
EP: 528 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -48 Time: 0:20:22
EP: 529 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -41 Time: 0:20:25
EP: 530 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -27 Time: 0:20:28
EP: 531 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -30 Time: 0:20:30
EP: 532 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -2 Time: 0:20:34
EP: 533 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: 14 Time: 0:20:38
EP: 534 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: 44 Time: 0:20:42
EP: 535 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -35 Time: 0:20:45
EP: 536 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: 2 Time: 0:20:48
EP: 537 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -174 Time: 0:20:49
EP: 538 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.53] - Reward: -28 Time: 0:20:52
EP: 539 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 78 Time: 0:20:57
EP: 540 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 37 Time: 0:21:01
EP: 541 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 51 Time: 0:21:05
EP: 542 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -172 Time: 0:21:06
EP: 543 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -145 Time: 0:21:07
EP: 544 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 116 Time: 0:21:13
EP: 545 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 58 Time: 0:21:18
EP: 546 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 52 Time: 0:21:23
EP: 547 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -13 Time: 0:21:27
EP: 548 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -37 Time: 0:21:30
EP: 549 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 61 Time: 0:21:34
EP: 550 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 7 Time: 0:21:37
EP: 551 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -172 Time: 0:21:37
EP: 552 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -47 Time: 0:21:40
EP: 553 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 57 Time: 0:21:44
EP: 554 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -76 Time: 0:21:46
EP: 555 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -33 Time: 0:21:49
EP: 556 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: 5 Time: 0:21:52
EP: 557 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.52] - Reward: -29 Time: 0:21:55
EP: 558 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 130 Time: 0:22:01
EP: 559 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 6 Time: 0:22:04
EP: 560 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -40 Time: 0:22:06
EP: 561 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -37 Time: 0:22:09
EP: 562 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -33 Time: 0:22:12
EP: 563 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 40 Time: 0:22:15
EP: 564 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -168 Time: 0:22:16
EP: 565 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 13 Time: 0:22:19
EP: 566 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -130 Time: 0:22:21
EP: 567 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -171 Time: 0:22:21
EP: 568 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -31 Time: 0:22:25
EP: 569 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -46 Time: 0:22:26
EP: 570 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -31 Time: 0:22:30
EP: 571 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 22 Time: 0:22:33
EP: 572 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 44 Time: 0:22:38
EP: 573 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 45 Time: 0:22:42
EP: 574 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 70 Time: 0:22:47
EP: 575 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: 16 Time: 0:22:51
EP: 576 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -34 Time: 0:22:54
EP: 577 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.51] - Reward: -41 Time: 0:22:56
EP: 578 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: 11 Time: 0:22:59
EP: 579 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -23 Time: 0:23:03
EP: 580 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -41 Time: 0:23:06
EP: 581 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -39 Time: 0:23:09
EP: 582 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: 71 Time: 0:23:13
EP: 583 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -40 Time: 0:23:16
EP: 584 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: 8 Time: 0:23:19
EP: 585 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -16 Time: 0:23:21
EP: 586 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -174 Time: 0:23:22
EP: 587 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -114 Time: 0:23:23
EP: 588 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -18 Time: 0:23:27
EP: 589 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -35 Time: 0:23:30
EP: 590 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -168 Time: 0:23:31
EP: 591 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: 35 Time: 0:23:34
EP: 592 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: 48 Time: 0:23:39
EP: 593 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -15 Time: 0:23:43
EP: 594 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -173 Time: 0:23:44
EP: 595 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -72 Time: 0:23:46
EP: 596 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: -35 Time: 0:23:49
EP: 597 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.5] - Reward: 42 Time: 0:23:53
EP: 598 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -30 Time: 0:23:56
EP: 599 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -36 Time: 0:23:59
EP: 600 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -18 Time: 0:24:02
EP: 601 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -16 Time: 0:24:06
EP: 602 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -67 Time: 0:24:08
EP: 603 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -36 Time: 0:24:10
EP: 604 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 7 Time: 0:24:14
EP: 605 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 15 Time: 0:24:17
EP: 606 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 45 Time: 0:24:22
EP: 607 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -42 Time: 0:24:25
EP: 608 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -167 Time: 0:24:25
EP: 609 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 60 Time: 0:24:30
EP: 610 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 40 Time: 0:24:34
EP: 611 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -37 Time: 0:24:37
EP: 612 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -137 Time: 0:24:38
EP: 613 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 25 Time: 0:24:42
EP: 614 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -36 Time: 0:24:45
EP: 615 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -78 Time: 0:24:47
EP: 616 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: -30 Time: 0:24:50
EP: 617 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.49] - Reward: 54 Time: 0:24:55
EP: 618 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: 25 Time: 0:24:59
EP: 619 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: 48 Time: 0:25:03
EP: 620 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -38 Time: 0:25:05
EP: 621 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -41 Time: 0:25:07
EP: 622 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -54 Time: 0:25:10
EP: 623 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -171 Time: 0:25:10
EP: 624 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -29 Time: 0:25:14
EP: 625 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -35 Time: 0:25:16
EP: 626 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -166 Time: 0:25:17
EP: 627 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -41 Time: 0:25:20
EP: 628 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -49 Time: 0:25:22
EP: 629 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -57 Time: 0:25:25
EP: 630 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -37 Time: 0:25:27
EP: 631 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -30 Time: 0:25:31
EP: 632 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -174 Time: 0:25:31
EP: 633 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -105 Time: 0:25:33
EP: 634 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -39 Time: 0:25:35
EP: 635 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -31 Time: 0:25:38
EP: 636 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -168 Time: 0:25:38
EP: 637 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: 5 Time: 0:25:42
EP: 638 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.48] - Reward: -27 Time: 0:25:44
EP: 639 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -30 Time: 0:25:47
EP: 640 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -54 Time: 0:25:49
EP: 641 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -28 Time: 0:25:52
EP: 642 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -32 Time: 0:25:55
EP: 643 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -123 Time: 0:25:56
EP: 644 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -33 Time: 0:25:59
EP: 645 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -32 Time: 0:26:01
EP: 646 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -32 Time: 0:26:04
EP: 647 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -6 Time: 0:26:07
EP: 648 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: 4 Time: 0:26:11
EP: 649 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: 38 Time: 0:26:15
EP: 650 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -16 Time: 0:26:18
EP: 651 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -34 Time: 0:26:21
EP: 652 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: 48 Time: 0:26:26
EP: 653 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -37 Time: 0:26:29
EP: 654 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -169 Time: 0:26:29
EP: 655 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -36 Time: 0:26:31
EP: 656 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: 30 Time: 0:26:35
EP: 657 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -22 Time: 0:26:38
EP: 658 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -13 Time: 0:26:41
EP: 659 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: 44 Time: 0:26:46
EP: 660 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.47] - Reward: -26 Time: 0:26:49
EP: 661 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 13 Time: 0:26:52
EP: 662 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -36 Time: 0:26:54
EP: 663 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -37 Time: 0:26:57
EP: 664 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -20 Time: 0:27:00
EP: 665 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 11 Time: 0:27:03
EP: 666 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 50 Time: 0:27:08
EP: 667 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -28 Time: 0:27:11
EP: 668 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -169 Time: 0:27:11
EP: 669 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -28 Time: 0:27:14
EP: 670 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 9 Time: 0:27:18
EP: 671 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 21 Time: 0:27:22
EP: 672 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -111 Time: 0:27:23
EP: 673 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -25 Time: 0:27:26
EP: 674 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -22 Time: 0:27:30
EP: 675 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -38 Time: 0:27:33
EP: 676 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -36 Time: 0:27:36
EP: 677 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 2 Time: 0:27:39
EP: 678 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -23 Time: 0:27:41
EP: 679 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 63 Time: 0:27:46
EP: 680 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: -123 Time: 0:27:48
EP: 681 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.46] - Reward: 62 Time: 0:27:53
EP: 682 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -36 Time: 0:27:55
EP: 683 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 50 Time: 0:28:00
EP: 684 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -162 Time: 0:28:01
EP: 685 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -40 Time: 0:28:04
EP: 686 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 52 Time: 0:28:08
EP: 687 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -170 Time: 0:28:09
EP: 688 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 51 Time: 0:28:13
EP: 689 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 51 Time: 0:28:17
EP: 690 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 44 Time: 0:28:20
EP: 691 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 2 Time: 0:28:23
EP: 692 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -76 Time: 0:28:25
EP: 693 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -42 Time: 0:28:28
EP: 694 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 60 Time: 0:28:32
EP: 695 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 107 Time: 0:28:37
EP: 696 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: 23 Time: 0:28:41
EP: 697 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -92 Time: 0:28:43
EP: 698 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -27 Time: 0:28:47
EP: 699 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -171 Time: 0:28:47
EP: 700 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -38 Time: 0:28:50
EP: 701 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -33 Time: 0:28:54
EP: 702 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -169 Time: 0:28:54
EP: 703 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.45] - Reward: -42 Time: 0:28:56
EP: 704 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -78 Time: 0:28:59
EP: 705 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 66 Time: 0:29:04
EP: 706 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 52 Time: 0:29:09
EP: 707 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -36 Time: 0:29:13
EP: 708 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 53 Time: 0:29:18
EP: 709 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -24 Time: 0:29:21
EP: 710 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -148 Time: 0:29:22
EP: 711 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 63 Time: 0:29:27
EP: 712 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 10 Time: 0:29:30
EP: 713 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -20 Time: 0:29:34
EP: 714 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -20 Time: 0:29:37
EP: 715 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -59 Time: 0:29:39
EP: 716 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -164 Time: 0:29:39
EP: 717 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 10 Time: 0:29:43
EP: 718 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -49 Time: 0:29:45
EP: 719 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -86 Time: 0:29:47
EP: 720 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 51 Time: 0:29:50
EP: 721 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: 104 Time: 0:29:56
EP: 722 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -172 Time: 0:29:56
EP: 723 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -44 Time: 0:29:59
EP: 724 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -30 Time: 0:30:01
EP: 725 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -23 Time: 0:30:05
EP: 726 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.44] - Reward: -43 Time: 0:30:07
EP: 727 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -36 Time: 0:30:10
EP: 728 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 5 Time: 0:30:15
EP: 729 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 69 Time: 0:30:20
EP: 730 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -41 Time: 0:30:23
EP: 731 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -35 Time: 0:30:26
EP: 732 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 59 Time: 0:30:32
EP: 733 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 44 Time: 0:30:36
EP: 734 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -50 Time: 0:30:39
EP: 735 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -14 Time: 0:30:43
EP: 736 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -168 Time: 0:30:43
EP: 737 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -32 Time: 0:30:47
EP: 738 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -169 Time: 0:30:47
EP: 739 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 58 Time: 0:30:52
EP: 740 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 12 Time: 0:30:56
EP: 741 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 42 Time: 0:31:01
EP: 742 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 56 Time: 0:31:06
EP: 743 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 26 Time: 0:31:10
EP: 744 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -27 Time: 0:31:13
EP: 745 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 7 Time: 0:31:16
EP: 746 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 52 Time: 0:31:21
EP: 747 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -106 Time: 0:31:22
EP: 748 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: 8 Time: 0:31:25
EP: 749 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.43] - Reward: -19 Time: 0:31:29
EP: 750 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -29 Time: 0:31:32
EP: 751 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -21 Time: 0:31:36
EP: 752 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 15 Time: 0:31:39
EP: 753 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 12 Time: 0:31:43
EP: 754 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 21 Time: 0:31:48
EP: 755 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 1 Time: 0:31:50
EP: 756 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -169 Time: 0:31:51
EP: 757 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 38 Time: 0:31:56
EP: 758 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -53 Time: 0:31:57
EP: 759 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -41 Time: 0:32:00
EP: 760 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 6 Time: 0:32:03
EP: 761 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 25 Time: 0:32:06
EP: 762 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -37 Time: 0:32:09
EP: 763 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -44 Time: 0:32:12
EP: 764 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -7 Time: 0:32:16
EP: 765 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 16 Time: 0:32:19
EP: 766 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: 40 Time: 0:32:23
EP: 767 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -174 Time: 0:32:24
EP: 768 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -20 Time: 0:32:27
EP: 769 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -15 Time: 0:32:31
EP: 770 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -9 Time: 0:32:35
EP: 771 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -17 Time: 0:32:38
EP: 772 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -25 Time: 0:32:42
EP: 773 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.42] - Reward: -38 Time: 0:32:45
EP: 774 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -34 Time: 0:32:48
EP: 775 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -27 Time: 0:32:52
EP: 776 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: 62 Time: 0:32:57
EP: 777 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -50 Time: 0:33:00
EP: 778 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -168 Time: 0:33:00
EP: 779 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -139 Time: 0:33:02
EP: 780 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: 66 Time: 0:33:05
EP: 781 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -49 Time: 0:33:08
EP: 782 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -165 Time: 0:33:09
EP: 783 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -171 Time: 0:33:09
EP: 784 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -31 Time: 0:33:12
EP: 785 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -47 Time: 0:33:15
EP: 786 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -25 Time: 0:33:19
EP: 787 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -39 Time: 0:33:21
EP: 788 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -114 Time: 0:33:23
EP: 789 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -40 Time: 0:33:25
EP: 790 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: 33 Time: 0:33:29
EP: 791 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -171 Time: 0:33:30
EP: 792 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -45 Time: 0:33:32
EP: 793 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -45 Time: 0:33:34
EP: 794 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -49 Time: 0:33:37
EP: 795 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -25 Time: 0:33:40
EP: 796 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -33 Time: 0:33:43
EP: 797 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -38 Time: 0:33:46
EP: 798 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.41] - Reward: -11 Time: 0:33:51
EP: 799 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -170 Time: 0:33:51
EP: 800 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -45 Time: 0:33:54
EP: 801 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -162 Time: 0:33:55
EP: 802 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 62 Time: 0:34:01
EP: 803 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -104 Time: 0:34:03
EP: 804 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 9 Time: 0:34:07
EP: 805 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -163 Time: 0:34:07
EP: 806 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 3 Time: 0:34:12
EP: 807 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -17 Time: 0:34:16
EP: 808 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -22 Time: 0:34:20
EP: 809 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -27 Time: 0:34:23
EP: 810 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 57 Time: 0:34:29
EP: 811 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -172 Time: 0:34:29
EP: 812 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -12 Time: 0:34:34
EP: 813 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -32 Time: 0:34:37
EP: 814 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -28 Time: 0:34:40
EP: 815 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -5 Time: 0:34:44
EP: 816 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -169 Time: 0:34:45
EP: 817 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -169 Time: 0:34:45
EP: 818 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 148 Time: 0:34:52
EP: 819 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 60 Time: 0:34:57
EP: 820 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -174 Time: 0:34:58
EP: 821 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -15 Time: 0:35:01
EP: 822 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: -171 Time: 0:35:02
EP: 823 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.4] - Reward: 90 Time: 0:35:08
EP: 824 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -164 Time: 0:35:09
EP: 825 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -13 Time: 0:35:12
EP: 826 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -91 Time: 0:35:15
EP: 827 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 67 Time: 0:35:20
EP: 828 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -14 Time: 0:35:24
EP: 829 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -11 Time: 0:35:28
EP: 830 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -13 Time: 0:35:32
EP: 831 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -169 Time: 0:35:32
EP: 832 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -28 Time: 0:35:36
EP: 833 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 57 Time: 0:35:42
EP: 834 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -174 Time: 0:35:42
EP: 835 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -173 Time: 0:35:42
EP: 836 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -55 Time: 0:35:45
EP: 837 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 54 Time: 0:35:50
EP: 838 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 15 Time: 0:35:55
EP: 839 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -170 Time: 0:35:55
EP: 840 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 33 Time: 0:36:00
EP: 841 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -20 Time: 0:36:04
EP: 842 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -2 Time: 0:36:08
EP: 843 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 14 Time: 0:36:12
EP: 844 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -170 Time: 0:36:13
EP: 845 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: 162 Time: 0:36:20
EP: 846 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -168 Time: 0:36:20
EP: 847 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -171 Time: 0:36:21
EP: 848 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.39] - Reward: -27 Time: 0:36:24
EP: 849 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -50 Time: 0:36:26
EP: 850 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -173 Time: 0:36:26
EP: 851 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -21 Time: 0:36:29
EP: 852 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -157 Time: 0:36:30
EP: 853 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -18 Time: 0:36:34
EP: 854 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -59 Time: 0:36:36
EP: 855 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -34 Time: 0:36:39
EP: 856 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -50 Time: 0:36:41
EP: 857 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -30 Time: 0:36:45
EP: 858 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 19 Time: 0:36:49
EP: 859 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -17 Time: 0:36:53
EP: 860 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -170 Time: 0:36:54
EP: 861 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 42 Time: 0:36:58
EP: 862 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -176 Time: 0:36:58
EP: 863 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -169 Time: 0:36:58
EP: 864 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -166 Time: 0:36:59
EP: 865 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -14 Time: 0:37:03
EP: 866 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 50 Time: 0:37:07
EP: 867 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 39 Time: 0:37:12
EP: 868 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 47 Time: 0:37:16
EP: 869 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 68 Time: 0:37:21
EP: 870 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 42 Time: 0:37:25
EP: 871 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 44 Time: 0:37:28
EP: 872 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -46 Time: 0:37:30
EP: 873 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 57 Time: 0:37:35
EP: 874 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: -169 Time: 0:37:36
EP: 875 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.38] - Reward: 51 Time: 0:37:40
EP: 876 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -9 Time: 0:37:45
EP: 877 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 43 Time: 0:37:50
EP: 878 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 33 Time: 0:37:53
EP: 879 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 52 Time: 0:37:58
EP: 880 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -4 Time: 0:38:02
EP: 881 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -96 Time: 0:38:04
EP: 882 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -168 Time: 0:38:05
EP: 883 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 0 Time: 0:38:09
EP: 884 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 106 Time: 0:38:15
EP: 885 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -41 Time: 0:38:18
EP: 886 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 56 Time: 0:38:23
EP: 887 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -6 Time: 0:38:27
EP: 888 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -26 Time: 0:38:32
EP: 889 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 55 Time: 0:38:36
EP: 890 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 73 Time: 0:38:42
EP: 891 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 49 Time: 0:38:46
EP: 892 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 70 Time: 0:38:51
EP: 893 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -37 Time: 0:38:54
EP: 894 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -16 Time: 0:38:57
EP: 895 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -21 Time: 0:39:01
EP: 896 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 55 Time: 0:39:06
EP: 897 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -45 Time: 0:39:09
EP: 898 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -23 Time: 0:39:12
EP: 899 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -97 Time: 0:39:14
EP: 900 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -99 Time: 0:39:15
EP: 901 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: 34 Time: 0:39:20
EP: 902 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.37] - Reward: -33 Time: 0:39:22
EP: 903 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -16 Time: 0:39:26
EP: 904 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -173 Time: 0:39:26
EP: 905 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -21 Time: 0:39:29
EP: 906 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: 143 Time: 0:39:35
EP: 907 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -49 Time: 0:39:37
EP: 908 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -170 Time: 0:39:37
EP: 909 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -64 Time: 0:39:39
EP: 910 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -158 Time: 0:39:40
EP: 911 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -100 Time: 0:39:41
EP: 912 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -82 Time: 0:39:43
EP: 913 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -8 Time: 0:39:47
EP: 914 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -15 Time: 0:39:50
EP: 915 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: 57 Time: 0:39:56
EP: 916 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: 65 Time: 0:40:00
EP: 917 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -169 Time: 0:40:01
EP: 918 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -83 Time: 0:40:03
EP: 919 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -66 Time: 0:40:06
EP: 920 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -72 Time: 0:40:08
EP: 921 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -79 Time: 0:40:10
EP: 922 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: 63 Time: 0:40:16
EP: 923 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -32 Time: 0:40:18
EP: 924 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -27 Time: 0:40:20
EP: 925 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -165 Time: 0:40:21
EP: 926 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -28 Time: 0:40:23
EP: 927 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -5 Time: 0:40:27
EP: 928 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -168 Time: 0:40:28
EP: 929 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.36] - Reward: -31 Time: 0:40:30
EP: 930 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: 1 Time: 0:40:34
EP: 931 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -174 Time: 0:40:34
EP: 932 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -171 Time: 0:40:35
EP: 933 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -173 Time: 0:40:35
EP: 934 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -17 Time: 0:40:39
EP: 935 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -26 Time: 0:40:42
EP: 936 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -128 Time: 0:40:43
EP: 937 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -89 Time: 0:40:45
EP: 938 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -29 Time: 0:40:48
EP: 939 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -64 Time: 0:40:50
EP: 940 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -12 Time: 0:40:53
EP: 941 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -31 Time: 0:40:56
EP: 942 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: 19 Time: 0:41:01
EP: 943 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -24 Time: 0:41:03
EP: 944 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -84 Time: 0:41:06
EP: 945 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -165 Time: 0:41:06
EP: 946 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: 55 Time: 0:41:11
EP: 947 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -95 Time: 0:41:13
EP: 948 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -172 Time: 0:41:14
EP: 949 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -84 Time: 0:41:16
EP: 950 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: 53 Time: 0:41:21
EP: 951 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -133 Time: 0:41:23
EP: 952 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -166 Time: 0:41:23
EP: 953 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -75 Time: 0:41:26
EP: 954 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -94 Time: 0:41:28
EP: 955 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -7 Time: 0:41:32
EP: 956 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -159 Time: 0:41:33
EP: 957 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -172 Time: 0:41:34
EP: 958 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.35] - Reward: -172 Time: 0:41:34
EP: 959 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -173 Time: 0:41:34
EP: 960 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -174 Time: 0:41:35
EP: 961 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 36 Time: 0:41:39
EP: 962 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 6 Time: 0:41:43
EP: 963 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -88 Time: 0:41:46
EP: 964 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -12 Time: 0:41:50
EP: 965 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -24 Time: 0:41:54
EP: 966 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -177 Time: 0:41:54
EP: 967 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -17 Time: 0:41:57
EP: 968 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 70 Time: 0:42:01
EP: 969 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -12 Time: 0:42:04
EP: 970 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -26 Time: 0:42:07
EP: 971 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 50 Time: 0:42:11
EP: 972 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -88 Time: 0:42:14
EP: 973 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 59 Time: 0:42:19
EP: 974 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -13 Time: 0:42:23
EP: 975 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 51 Time: 0:42:27
EP: 976 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -33 Time: 0:42:29
EP: 977 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -59 Time: 0:42:31
EP: 978 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -29 Time: 0:42:35
EP: 979 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -52 Time: 0:42:38
EP: 980 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -170 Time: 0:42:39
EP: 981 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -172 Time: 0:42:39
EP: 982 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 74 Time: 0:42:44
EP: 983 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -172 Time: 0:42:44
EP: 984 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -93 Time: 0:42:46
EP: 985 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 64 Time: 0:42:51
EP: 986 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: 46 Time: 0:42:57
EP: 987 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.34] - Reward: -46 Time: 0:43:00
EP: 988 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -103 Time: 0:43:01
EP: 989 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 58 Time: 0:43:06
EP: 990 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -173 Time: 0:43:06
EP: 991 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 56 Time: 0:43:12
EP: 992 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -21 Time: 0:43:16
EP: 993 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -174 Time: 0:43:16
EP: 994 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 67 Time: 0:43:23
EP: 995 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -176 Time: 0:43:23
EP: 996 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 87 Time: 0:43:29
EP: 997 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -171 Time: 0:43:30
EP: 998 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -15 Time: 0:43:34
EP: 999 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -27 Time: 0:43:38
EP: 1000 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -16 Time: 0:43:41
EP: 1001 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -19 Time: 0:43:45
EP: 1002 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -167 Time: 0:43:46
EP: 1003 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -18 Time: 0:43:49
EP: 1004 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 40 Time: 0:43:53
EP: 1005 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -36 Time: 0:43:55
EP: 1006 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -21 Time: 0:43:59
EP: 1007 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 66 Time: 0:44:05
EP: 1008 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -30 Time: 0:44:08
EP: 1009 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -137 Time: 0:44:09
EP: 1010 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 70 Time: 0:44:14
EP: 1011 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -53 Time: 0:44:17
EP: 1012 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -101 Time: 0:44:19
EP: 1013 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 65 Time: 0:44:24
EP: 1014 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -4 Time: 0:44:28
EP: 1015 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -30 Time: 0:44:30
EP: 1016 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -20 Time: 0:44:33
EP: 1017 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: -111 Time: 0:44:35
EP: 1018 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.33] - Reward: 6 Time: 0:44:40
EP: 1019 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -25 Time: 0:44:43
EP: 1020 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -25 Time: 0:44:46
EP: 1021 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -38 Time: 0:44:48
EP: 1022 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -24 Time: 0:44:51
EP: 1023 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -34 Time: 0:44:54
EP: 1024 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -170 Time: 0:44:54
EP: 1025 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -4 Time: 0:44:58
EP: 1026 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -41 Time: 0:45:00
EP: 1027 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -76 Time: 0:45:02
EP: 1028 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -8 Time: 0:45:05
EP: 1029 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -26 Time: 0:45:09
EP: 1030 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: 146 Time: 0:45:16
EP: 1031 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: 75 Time: 0:45:22
EP: 1032 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -39 Time: 0:45:24
EP: 1033 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: 61 Time: 0:45:28
EP: 1034 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -28 Time: 0:45:31
EP: 1035 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -18 Time: 0:45:34
EP: 1036 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -55 Time: 0:45:37
EP: 1037 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -7 Time: 0:45:42
EP: 1038 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: 10 Time: 0:45:47
EP: 1039 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -15 Time: 0:45:51
EP: 1040 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -30 Time: 0:45:54
EP: 1041 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -4 Time: 0:45:58
EP: 1042 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -23 Time: 0:46:02
EP: 1043 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -14 Time: 0:46:05
EP: 1044 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: 71 Time: 0:46:11
EP: 1045 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -36 Time: 0:46:13
EP: 1046 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -126 Time: 0:46:15
EP: 1047 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -170 Time: 0:46:15
EP: 1048 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -36 Time: 0:46:17
EP: 1049 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.32] - Reward: -96 Time: 0:46:20
EP: 1050 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -23 Time: 0:46:23
EP: 1051 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -28 Time: 0:46:26
EP: 1052 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -29 Time: 0:46:29
EP: 1053 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -121 Time: 0:46:30
EP: 1054 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -24 Time: 0:46:34
EP: 1055 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -120 Time: 0:46:35
EP: 1056 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -62 Time: 0:46:38
EP: 1057 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -171 Time: 0:46:38
EP: 1058 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -169 Time: 0:46:39
EP: 1059 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -29 Time: 0:46:42
EP: 1060 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -16 Time: 0:46:45
EP: 1061 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -48 Time: 0:46:48
EP: 1062 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: 7 Time: 0:46:51
EP: 1063 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -167 Time: 0:46:52
EP: 1064 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -38 Time: 0:46:54
EP: 1065 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -35 Time: 0:46:56
EP: 1066 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -170 Time: 0:46:57
EP: 1067 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -33 Time: 0:46:59
EP: 1068 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -30 Time: 0:47:02
EP: 1069 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -6 Time: 0:47:06
EP: 1070 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -139 Time: 0:47:07
EP: 1071 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -165 Time: 0:47:08
EP: 1072 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: 54 Time: 0:47:12
EP: 1073 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -28 Time: 0:47:16
EP: 1074 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -27 Time: 0:47:19
EP: 1075 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -36 Time: 0:47:22
EP: 1076 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -91 Time: 0:47:24
EP: 1077 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -21 Time: 0:47:28
EP: 1078 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -170 Time: 0:47:29
EP: 1079 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -110 Time: 0:47:30
EP: 1080 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -20 Time: 0:47:33
EP: 1081 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.31] - Reward: -102 Time: 0:47:35
EP: 1082 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -39 Time: 0:47:38
EP: 1083 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -38 Time: 0:47:41
EP: 1084 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -26 Time: 0:47:44
EP: 1085 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: 61 Time: 0:47:49
EP: 1086 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -152 Time: 0:47:50
EP: 1087 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -18 Time: 0:47:54
EP: 1088 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -97 Time: 0:47:56
EP: 1089 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -147 Time: 0:47:58
EP: 1090 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -133 Time: 0:47:59
EP: 1091 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -89 Time: 0:48:01
EP: 1092 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -36 Time: 0:48:04
EP: 1093 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -160 Time: 0:48:05
EP: 1094 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -23 Time: 0:48:07
EP: 1095 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: 71 Time: 0:48:13
EP: 1096 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -91 Time: 0:48:15
EP: 1097 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -97 Time: 0:48:17
EP: 1098 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: 3 Time: 0:48:22
EP: 1099 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -31 Time: 0:48:25
EP: 1100 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -29 Time: 0:48:27
EP: 1101 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -22 Time: 0:48:31
EP: 1102 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -36 Time: 0:48:33
EP: 1103 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -19 Time: 0:48:37
EP: 1104 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -85 Time: 0:48:39
EP: 1105 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -139 Time: 0:48:40
EP: 1106 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -147 Time: 0:48:41
EP: 1107 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -28 Time: 0:48:44
EP: 1108 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -40 Time: 0:48:48
EP: 1109 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: 4 Time: 0:48:52
EP: 1110 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -167 Time: 0:48:52
EP: 1111 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -31 Time: 0:48:55
EP: 1112 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -38 Time: 0:48:57
EP: 1113 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -17 Time: 0:49:01
EP: 1114 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.3] - Reward: -171 Time: 0:49:02
EP: 1115 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -170 Time: 0:49:02
EP: 1116 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -38 Time: 0:49:05
EP: 1117 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 47 Time: 0:49:10
EP: 1118 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -5 Time: 0:49:13
EP: 1119 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 50 Time: 0:49:17
EP: 1120 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -84 Time: 0:49:19
EP: 1121 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -102 Time: 0:49:21
EP: 1122 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -79 Time: 0:49:23
EP: 1123 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 64 Time: 0:49:28
EP: 1124 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -42 Time: 0:49:31
EP: 1125 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -21 Time: 0:49:35
EP: 1126 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -172 Time: 0:49:36
EP: 1127 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -20 Time: 0:49:40
EP: 1128 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -160 Time: 0:49:41
EP: 1129 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -76 Time: 0:49:43
EP: 1130 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -30 Time: 0:49:46
EP: 1131 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -25 Time: 0:49:49
EP: 1132 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -21 Time: 0:49:52
EP: 1133 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -170 Time: 0:49:53
EP: 1134 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 73 Time: 0:49:57
EP: 1135 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -55 Time: 0:50:00
EP: 1136 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 72 Time: 0:50:07
EP: 1137 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -45 Time: 0:50:10
EP: 1138 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -114 Time: 0:50:11
EP: 1139 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -46 Time: 0:50:13
EP: 1140 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -31 Time: 0:50:16
EP: 1141 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -83 Time: 0:50:18
EP: 1142 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -11 Time: 0:50:21
EP: 1143 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -37 Time: 0:50:24
EP: 1144 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 28 Time: 0:50:28
EP: 1145 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 134 Time: 0:50:34
EP: 1146 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -34 Time: 0:50:36
EP: 1147 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -27 Time: 0:50:40
EP: 1148 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: 15 Time: 0:50:43
EP: 1149 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.29] - Reward: -7 Time: 0:50:47
EP: 1150 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -135 Time: 0:50:49
EP: 1151 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -29 Time: 0:50:52
EP: 1152 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -157 Time: 0:50:53
EP: 1153 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 12 Time: 0:50:56
EP: 1154 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 109 Time: 0:51:02
EP: 1155 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -4 Time: 0:51:06
EP: 1156 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -33 Time: 0:51:09
EP: 1157 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -4 Time: 0:51:14
EP: 1158 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -46 Time: 0:51:16
EP: 1159 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -38 Time: 0:51:17
EP: 1160 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -13 Time: 0:51:21
EP: 1161 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -35 Time: 0:51:24
EP: 1162 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -32 Time: 0:51:26
EP: 1163 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -27 Time: 0:51:30
EP: 1164 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -22 Time: 0:51:35
EP: 1165 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 59 Time: 0:51:39
EP: 1166 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -21 Time: 0:51:42
EP: 1167 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -31 Time: 0:51:46
EP: 1168 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 98 Time: 0:51:52
EP: 1169 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -42 Time: 0:51:55
EP: 1170 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -32 Time: 0:51:59
EP: 1171 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 66 Time: 0:52:05
EP: 1172 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -37 Time: 0:52:08
EP: 1173 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 20 Time: 0:52:12
EP: 1174 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 37 Time: 0:52:16
EP: 1175 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -125 Time: 0:52:17
EP: 1176 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -25 Time: 0:52:21
EP: 1177 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -41 Time: 0:52:24
EP: 1178 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -151 Time: 0:52:25
EP: 1179 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -41 Time: 0:52:27
EP: 1180 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: 46 Time: 0:52:32
EP: 1181 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -90 Time: 0:52:34
EP: 1182 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -102 Time: 0:52:36
EP: 1183 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -14 Time: 0:52:40
EP: 1184 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -132 Time: 0:52:41
EP: 1185 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.28] - Reward: -38 Time: 0:52:44
EP: 1186 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -37 Time: 0:52:47
EP: 1187 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -174 Time: 0:52:47
EP: 1188 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -32 Time: 0:52:49
EP: 1189 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -34 Time: 0:52:52
EP: 1190 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -29 Time: 0:52:54
EP: 1191 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -26 Time: 0:52:56
EP: 1192 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: 64 Time: 0:53:02
EP: 1193 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -35 Time: 0:53:04
EP: 1194 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: 51 Time: 0:53:09
EP: 1195 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -24 Time: 0:53:12
EP: 1196 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -41 Time: 0:53:15
EP: 1197 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -168 Time: 0:53:16
EP: 1198 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -29 Time: 0:53:19
EP: 1199 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: 10 Time: 0:53:23
EP: 1200 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -38 Time: 0:53:26
EP: 1201 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -158 Time: 0:53:27
EP: 1202 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -81 Time: 0:53:29
EP: 1203 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -30 Time: 0:53:32
EP: 1204 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -78 Time: 0:53:34
EP: 1205 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -110 Time: 0:53:36
EP: 1206 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -29 Time: 0:53:39
EP: 1207 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -106 Time: 0:53:41
EP: 1208 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: 25 Time: 0:53:46
EP: 1209 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -39 Time: 0:53:48
EP: 1210 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -86 Time: 0:53:51
EP: 1211 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: 58 Time: 0:53:56
EP: 1212 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -24 Time: 0:53:59
EP: 1213 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: 25 Time: 0:54:03
EP: 1214 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -164 Time: 0:54:04
EP: 1215 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -49 Time: 0:54:06
EP: 1216 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -169 Time: 0:54:07
EP: 1217 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -79 Time: 0:54:10
EP: 1218 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -11 Time: 0:54:14
EP: 1219 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -10 Time: 0:54:18
EP: 1220 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -83 Time: 0:54:21
EP: 1221 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -99 Time: 0:54:22
EP: 1222 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.27] - Reward: -35 Time: 0:54:26
EP: 1223 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -22 Time: 0:54:29
EP: 1224 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -26 Time: 0:54:32
EP: 1225 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 54 Time: 0:54:37
EP: 1226 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -22 Time: 0:54:39
EP: 1227 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -149 Time: 0:54:40
EP: 1228 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -24 Time: 0:54:43
EP: 1229 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 58 Time: 0:54:48
EP: 1230 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -89 Time: 0:54:49
EP: 1231 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 54 Time: 0:54:54
EP: 1232 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 175 Time: 0:55:01
EP: 1233 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -41 Time: 0:55:04
EP: 1234 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -24 Time: 0:55:07
EP: 1235 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -170 Time: 0:55:07
EP: 1236 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -29 Time: 0:55:09
EP: 1237 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -165 Time: 0:55:10
EP: 1238 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -37 Time: 0:55:13
EP: 1239 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 56 Time: 0:55:19
EP: 1240 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -1 Time: 0:55:23
EP: 1241 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -129 Time: 0:55:25
EP: 1242 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -127 Time: 0:55:26
EP: 1243 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -37 Time: 0:55:29
EP: 1244 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -30 Time: 0:55:32
EP: 1245 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 19 Time: 0:55:36
EP: 1246 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -41 Time: 0:55:38
EP: 1247 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -37 Time: 0:55:41
EP: 1248 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 44 Time: 0:55:45
EP: 1249 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 49 Time: 0:55:50
EP: 1250 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -145 Time: 0:55:51
EP: 1251 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -39 Time: 0:55:54
EP: 1252 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -167 Time: 0:55:54
EP: 1253 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 90 Time: 0:56:00
EP: 1254 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -4 Time: 0:56:04
EP: 1255 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: -44 Time: 0:56:06
EP: 1256 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 67 Time: 0:56:11
EP: 1257 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 118 Time: 0:56:18
EP: 1258 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 8 Time: 0:56:22
EP: 1259 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 17 Time: 0:56:26
EP: 1260 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.26] - Reward: 14 Time: 0:56:30
EP: 1261 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -122 Time: 0:56:32
EP: 1262 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -37 Time: 0:56:34
EP: 1263 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -79 Time: 0:56:37
EP: 1264 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 99 Time: 0:56:43
EP: 1265 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -118 Time: 0:56:44
EP: 1266 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 56 Time: 0:56:50
EP: 1267 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -137 Time: 0:56:51
EP: 1268 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -38 Time: 0:56:53
EP: 1269 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -27 Time: 0:56:56
EP: 1270 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 90 Time: 0:57:02
EP: 1271 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -40 Time: 0:57:07
EP: 1272 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -43 Time: 0:57:09
EP: 1273 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -23 Time: 0:57:13
EP: 1274 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 55 Time: 0:57:19
EP: 1275 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -125 Time: 0:57:20
EP: 1276 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -172 Time: 0:57:21
EP: 1277 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -115 Time: 0:57:22
EP: 1278 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -136 Time: 0:57:23
EP: 1279 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -121 Time: 0:57:25
EP: 1280 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -44 Time: 0:57:28
EP: 1281 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -167 Time: 0:57:29
EP: 1282 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 46 Time: 0:57:33
EP: 1283 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -34 Time: 0:57:36
EP: 1284 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 54 Time: 0:57:40
EP: 1285 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -167 Time: 0:57:41
EP: 1286 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 41 Time: 0:57:46
EP: 1287 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -147 Time: 0:57:48
EP: 1288 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -141 Time: 0:57:49
EP: 1289 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -31 Time: 0:57:52
EP: 1290 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 70 Time: 0:57:58
EP: 1291 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -57 Time: 0:58:00
EP: 1292 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 56 Time: 0:58:05
EP: 1293 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -124 Time: 0:58:06
EP: 1294 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -123 Time: 0:58:08
EP: 1295 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -144 Time: 0:58:10
EP: 1296 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: 93 Time: 0:58:15
EP: 1297 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -42 Time: 0:58:17
EP: 1298 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -172 Time: 0:58:18
EP: 1299 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -20 Time: 0:58:21
EP: 1300 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.25] - Reward: -171 Time: 0:58:22
EP: 1301 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -79 Time: 0:58:25
EP: 1302 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -148 Time: 0:58:26
EP: 1303 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -172 Time: 0:58:27
EP: 1304 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -119 Time: 0:58:29
EP: 1305 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -27 Time: 0:58:33
EP: 1306 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: 55 Time: 0:58:40
EP: 1307 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -167 Time: 0:58:41
EP: 1308 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -49 Time: 0:58:43
EP: 1309 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -149 Time: 0:58:45
EP: 1310 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -171 Time: 0:58:46
EP: 1311 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -157 Time: 0:58:47
EP: 1312 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -32 Time: 0:58:50
EP: 1313 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: 7 Time: 0:58:55
EP: 1314 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -156 Time: 0:58:55
EP: 1315 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -164 Time: 0:58:56
EP: 1316 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -164 Time: 0:58:57
EP: 1317 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -78 Time: 0:59:00
EP: 1318 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -160 Time: 0:59:01
EP: 1319 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -168 Time: 0:59:02
EP: 1320 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -118 Time: 0:59:03
EP: 1321 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -162 Time: 0:59:04
EP: 1322 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -128 Time: 0:59:06
EP: 1323 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -113 Time: 0:59:08
EP: 1324 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -82 Time: 0:59:10
EP: 1325 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -163 Time: 0:59:11
EP: 1326 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: 157 Time: 0:59:18
EP: 1327 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -102 Time: 0:59:20
EP: 1328 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -172 Time: 0:59:20
EP: 1329 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: 185 Time: 0:59:28
EP: 1330 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: 139 Time: 0:59:34
EP: 1331 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -41 Time: 0:59:37
EP: 1332 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -131 Time: 0:59:38
EP: 1333 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -169 Time: 0:59:39
EP: 1334 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -146 Time: 0:59:41
EP: 1335 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -167 Time: 0:59:41
EP: 1336 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -87 Time: 0:59:44
EP: 1337 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -168 Time: 0:59:45
EP: 1338 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -35 Time: 0:59:49
EP: 1339 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: 131 Time: 0:59:57
EP: 1340 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -111 Time: 0:59:58
EP: 1341 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -22 Time: 1:00:02
EP: 1342 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.24] - Reward: -34 Time: 1:00:06
EP: 1343 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: 51 Time: 1:00:11
EP: 1344 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -28 Time: 1:00:14
EP: 1345 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -169 Time: 1:00:14
EP: 1346 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -49 Time: 1:00:17
EP: 1347 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -170 Time: 1:00:17
EP: 1348 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -113 Time: 1:00:20
EP: 1349 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -168 Time: 1:00:20
EP: 1350 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -79 Time: 1:00:23
EP: 1351 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -177 Time: 1:00:24
EP: 1352 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -145 Time: 1:00:25
EP: 1353 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -175 Time: 1:00:26
EP: 1354 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -167 Time: 1:00:27
EP: 1355 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -111 Time: 1:00:29
EP: 1356 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -170 Time: 1:00:29
EP: 1357 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: 84 Time: 1:00:35
EP: 1358 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -118 Time: 1:00:37
EP: 1359 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -131 Time: 1:00:38
EP: 1360 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -137 Time: 1:00:39
EP: 1361 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: 50 Time: 1:00:45
EP: 1362 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -12 Time: 1:00:50
EP: 1363 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -174 Time: 1:00:51
EP: 1364 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -169 Time: 1:00:52
EP: 1365 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -115 Time: 1:00:54
EP: 1366 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -38 Time: 1:00:57
EP: 1367 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -27 Time: 1:01:02
EP: 1368 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -42 Time: 1:01:05
EP: 1369 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -34 Time: 1:01:08
EP: 1370 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -47 Time: 1:01:12
EP: 1371 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -42 Time: 1:01:15
EP: 1372 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -169 Time: 1:01:15
EP: 1373 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -168 Time: 1:01:16
EP: 1374 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -143 Time: 1:01:17
EP: 1375 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -169 Time: 1:01:18
EP: 1376 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -53 Time: 1:01:20
EP: 1377 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -122 Time: 1:01:21
EP: 1378 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -151 Time: 1:01:22
EP: 1379 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -175 Time: 1:01:22
EP: 1380 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: 55 Time: 1:01:29
EP: 1381 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -175 Time: 1:01:29
EP: 1382 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -30 Time: 1:01:32
EP: 1383 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: 14 Time: 1:01:36
EP: 1384 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -18 Time: 1:01:41
EP: 1385 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.23] - Reward: -120 Time: 1:01:43
EP: 1386 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -116 Time: 1:01:45
EP: 1387 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 48 Time: 1:01:51
EP: 1388 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 34 Time: 1:01:56
EP: 1389 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -171 Time: 1:01:56
EP: 1390 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -36 Time: 1:02:00
EP: 1391 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -34 Time: 1:02:03
EP: 1392 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -27 Time: 1:02:08
EP: 1393 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 62 Time: 1:02:13
EP: 1394 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -45 Time: 1:02:16
EP: 1395 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -28 Time: 1:02:21
EP: 1396 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -55 Time: 1:02:24
EP: 1397 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 36 Time: 1:02:29
EP: 1398 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 155 Time: 1:02:38
EP: 1399 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -128 Time: 1:02:39
EP: 1400 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -33 Time: 1:02:43
EP: 1401 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -173 Time: 1:02:43
EP: 1402 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -60 Time: 1:02:46
EP: 1403 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -27 Time: 1:02:50
EP: 1404 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 104 Time: 1:02:57
EP: 1405 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -141 Time: 1:02:58
EP: 1406 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 116 Time: 1:03:04
EP: 1407 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -37 Time: 1:03:07
EP: 1408 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -172 Time: 1:03:08
EP: 1409 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -34 Time: 1:03:11
EP: 1410 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 14 Time: 1:03:15
EP: 1411 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -161 Time: 1:03:16
EP: 1412 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -119 Time: 1:03:18
EP: 1413 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -81 Time: 1:03:21
EP: 1414 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -84 Time: 1:03:24
EP: 1415 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -172 Time: 1:03:25
EP: 1416 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: 76 Time: 1:03:30
EP: 1417 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -18 Time: 1:03:34
EP: 1418 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -109 Time: 1:03:36
EP: 1419 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -141 Time: 1:03:38
EP: 1420 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -27 Time: 1:03:41
EP: 1421 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -97 Time: 1:03:43
EP: 1422 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -84 Time: 1:03:46
EP: 1423 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -32 Time: 1:03:50
EP: 1424 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -171 Time: 1:03:50
EP: 1425 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -27 Time: 1:03:54
EP: 1426 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -20 Time: 1:03:59
EP: 1427 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -40 Time: 1:04:02
EP: 1428 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -170 Time: 1:04:03
EP: 1429 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -36 Time: 1:04:07
EP: 1430 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -167 Time: 1:04:08
EP: 1431 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.22] - Reward: -168 Time: 1:04:08
EP: 1432 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -30 Time: 1:04:12
EP: 1433 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -141 Time: 1:04:13
EP: 1434 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 44 Time: 1:04:18
EP: 1435 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -30 Time: 1:04:22
EP: 1436 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -174 Time: 1:04:23
EP: 1437 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -34 Time: 1:04:25
EP: 1438 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 162 Time: 1:04:33
EP: 1439 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -31 Time: 1:04:37
EP: 1440 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -32 Time: 1:04:40
EP: 1441 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -63 Time: 1:04:44
EP: 1442 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -169 Time: 1:04:45
EP: 1443 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -175 Time: 1:04:45
EP: 1444 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 5 Time: 1:04:49
EP: 1445 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -23 Time: 1:04:54
EP: 1446 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -28 Time: 1:04:58
EP: 1447 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -25 Time: 1:05:03
EP: 1448 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 109 Time: 1:05:09
EP: 1449 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -20 Time: 1:05:13
EP: 1450 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -30 Time: 1:05:17
EP: 1451 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -173 Time: 1:05:17
EP: 1452 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 188 Time: 1:05:25
EP: 1453 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -143 Time: 1:05:26
EP: 1454 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 66 Time: 1:05:32
EP: 1455 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -172 Time: 1:05:32
EP: 1456 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -48 Time: 1:05:34
EP: 1457 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 101 Time: 1:05:41
EP: 1458 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -171 Time: 1:05:41
EP: 1459 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -170 Time: 1:05:42
EP: 1460 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -172 Time: 1:05:43
EP: 1461 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -39 Time: 1:05:46
EP: 1462 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 64 Time: 1:05:52
EP: 1463 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -119 Time: 1:05:54
EP: 1464 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -23 Time: 1:05:58
EP: 1465 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -32 Time: 1:06:00
EP: 1466 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -38 Time: 1:06:04
EP: 1467 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 90 Time: 1:06:11
EP: 1468 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 28 Time: 1:06:17
EP: 1469 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -36 Time: 1:06:20
EP: 1470 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -178 Time: 1:06:20
EP: 1471 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -41 Time: 1:06:23
EP: 1472 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 45 Time: 1:06:29
EP: 1473 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -171 Time: 1:06:30
EP: 1474 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -80 Time: 1:06:34
EP: 1475 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -167 Time: 1:06:35
EP: 1476 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: 37 Time: 1:06:40
EP: 1477 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -170 Time: 1:06:40
EP: 1478 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.21] - Reward: -122 Time: 1:06:42
EP: 1479 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -26 Time: 1:06:44
EP: 1480 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 30 Time: 1:06:50
EP: 1481 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 166 Time: 1:06:59
EP: 1482 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -173 Time: 1:07:00
EP: 1483 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 44 Time: 1:07:05
EP: 1484 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -173 Time: 1:07:06
EP: 1485 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 49 Time: 1:07:11
EP: 1486 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 47 Time: 1:07:18
EP: 1487 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -31 Time: 1:07:21
EP: 1488 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -29 Time: 1:07:25
EP: 1489 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -163 Time: 1:07:26
EP: 1490 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -169 Time: 1:07:27
EP: 1491 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 31 Time: 1:07:32
EP: 1492 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -172 Time: 1:07:33
EP: 1493 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 239 Time: 1:07:42
EP: 1494 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 47 Time: 1:07:47
EP: 1495 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -183 Time: 1:07:48
EP: 1496 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 58 Time: 1:07:54
EP: 1497 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 57 Time: 1:08:01
EP: 1498 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -171 Time: 1:08:02
EP: 1499 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -28 Time: 1:08:06
EP: 1500 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 168 Time: 1:08:13
EP: 1501 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 40 Time: 1:08:17
EP: 1502 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -4 Time: 1:08:24
EP: 1503 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 43 Time: 1:08:29
EP: 1504 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -39 Time: 1:08:32
EP: 1505 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -116 Time: 1:08:34
EP: 1506 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -172 Time: 1:08:35
EP: 1507 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 2 Time: 1:08:39
EP: 1508 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -23 Time: 1:08:43
EP: 1509 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 1 Time: 1:08:47
EP: 1510 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -75 Time: 1:08:49
EP: 1511 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 18 Time: 1:08:54
EP: 1512 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 54 Time: 1:08:59
EP: 1513 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -164 Time: 1:09:00
EP: 1514 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 21 Time: 1:09:05
EP: 1515 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -171 Time: 1:09:05
EP: 1516 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -34 Time: 1:09:09
EP: 1517 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 83 Time: 1:09:15
EP: 1518 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 63 Time: 1:09:22
EP: 1519 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -23 Time: 1:09:25
EP: 1520 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -34 Time: 1:09:29
EP: 1521 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 51 Time: 1:09:35
EP: 1522 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -22 Time: 1:09:40
EP: 1523 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -21 Time: 1:09:45
EP: 1524 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 76 Time: 1:09:52
EP: 1525 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -63 Time: 1:09:55
EP: 1526 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -111 Time: 1:09:58
EP: 1527 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: -173 Time: 1:09:58
EP: 1528 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.2] - Reward: 112 Time: 1:10:04
EP: 1529 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -179 Time: 1:10:05
EP: 1530 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 124 Time: 1:10:12
EP: 1531 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -67 Time: 1:10:16
EP: 1532 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 44 Time: 1:10:20
EP: 1533 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 169 Time: 1:10:29
EP: 1534 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 54 Time: 1:10:35
EP: 1535 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -16 Time: 1:10:39
EP: 1536 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -175 Time: 1:10:39
EP: 1537 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 41 Time: 1:10:44
EP: 1538 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:10:45
EP: 1539 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -176 Time: 1:10:45
EP: 1540 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -37 Time: 1:10:48
EP: 1541 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -23 Time: 1:10:53
EP: 1542 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 68 Time: 1:10:59
EP: 1543 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 0 Time: 1:11:05
EP: 1544 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -93 Time: 1:11:07
EP: 1545 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 59 Time: 1:11:12
EP: 1546 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -48 Time: 1:11:15
EP: 1547 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -171 Time: 1:11:15
EP: 1548 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:11:17
EP: 1549 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 66 Time: 1:11:24
EP: 1550 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 76 Time: 1:11:31
EP: 1551 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 165 Time: 1:11:39
EP: 1552 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -25 Time: 1:11:43
EP: 1553 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -175 Time: 1:11:44
EP: 1554 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -138 Time: 1:11:45
EP: 1555 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -54 Time: 1:11:49
EP: 1556 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -168 Time: 1:11:50
EP: 1557 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -170 Time: 1:11:51
EP: 1558 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -170 Time: 1:11:52
EP: 1559 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -39 Time: 1:11:56
EP: 1560 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -17 Time: 1:12:00
EP: 1561 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -17 Time: 1:12:04
EP: 1562 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 186 Time: 1:12:12
EP: 1563 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -169 Time: 1:12:13
EP: 1564 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:12:14
EP: 1565 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -35 Time: 1:12:18
EP: 1566 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 130 Time: 1:12:26
EP: 1567 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -44 Time: 1:12:30
EP: 1568 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -168 Time: 1:12:30
EP: 1569 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -169 Time: 1:12:31
EP: 1570 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:12:32
EP: 1571 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 55 Time: 1:12:38
EP: 1572 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 67 Time: 1:12:45
EP: 1573 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 145 Time: 1:12:52
EP: 1574 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:12:53
EP: 1575 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -171 Time: 1:12:54
EP: 1576 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:12:55
EP: 1577 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 46 Time: 1:12:59
EP: 1578 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 45 Time: 1:13:05
EP: 1579 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -172 Time: 1:13:06
EP: 1580 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: -50 Time: 1:13:10
EP: 1581 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.19] - Reward: 69 Time: 1:13:16
EP: 1582 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 54 Time: 1:13:22
EP: 1583 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -132 Time: 1:13:24
EP: 1584 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 41 Time: 1:13:29
EP: 1585 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -170 Time: 1:13:30
EP: 1586 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -176 Time: 1:13:31
EP: 1587 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 146 Time: 1:13:38
EP: 1588 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 116 Time: 1:13:46
EP: 1589 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -31 Time: 1:13:51
EP: 1590 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -59 Time: 1:13:54
EP: 1591 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -173 Time: 1:13:55
EP: 1592 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 38 Time: 1:14:00
EP: 1593 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -175 Time: 1:14:01
EP: 1594 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -19 Time: 1:14:06
EP: 1595 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 43 Time: 1:14:12
EP: 1596 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 45 Time: 1:14:18
EP: 1597 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 37 Time: 1:14:22
EP: 1598 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -170 Time: 1:14:23
EP: 1599 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -169 Time: 1:14:24
EP: 1600 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -37 Time: 1:14:28
EP: 1601 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -26 Time: 1:14:33
EP: 1602 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -36 Time: 1:14:36
EP: 1603 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -10 Time: 1:14:41
EP: 1604 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 32 Time: 1:14:45
EP: 1605 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 55 Time: 1:14:52
EP: 1606 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -31 Time: 1:14:56
EP: 1607 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -119 Time: 1:14:58
EP: 1608 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -174 Time: 1:14:59
EP: 1609 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -168 Time: 1:15:00
EP: 1610 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -21 Time: 1:15:05
EP: 1611 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 51 Time: 1:15:10
EP: 1612 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -166 Time: 1:15:11
EP: 1613 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 47 Time: 1:15:16
EP: 1614 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 71 Time: 1:15:23
EP: 1615 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 40 Time: 1:15:27
EP: 1616 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 47 Time: 1:15:34
EP: 1617 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 53 Time: 1:15:40
EP: 1618 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -38 Time: 1:15:43
EP: 1619 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -9 Time: 1:15:48
EP: 1620 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -38 Time: 1:15:52
EP: 1621 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -24 Time: 1:15:56
EP: 1622 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -155 Time: 1:15:57
EP: 1623 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -130 Time: 1:15:59
EP: 1624 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -17 Time: 1:16:04
EP: 1625 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 56 Time: 1:16:10
EP: 1626 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -51 Time: 1:16:12
EP: 1627 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -177 Time: 1:16:13
EP: 1628 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -11 Time: 1:16:19
EP: 1629 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 112 Time: 1:16:26
EP: 1630 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -27 Time: 1:16:30
EP: 1631 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 52 Time: 1:16:36
EP: 1632 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -43 Time: 1:16:39
EP: 1633 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 39 Time: 1:16:45
EP: 1634 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -28 Time: 1:16:50
EP: 1635 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: -39 Time: 1:16:53
EP: 1636 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.18] - Reward: 56 Time: 1:16:59
EP: 1637 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 42 Time: 1:17:04
EP: 1638 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -172 Time: 1:17:05
EP: 1639 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -35 Time: 1:17:09
EP: 1640 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 189 Time: 1:17:21
EP: 1641 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 57 Time: 1:17:27
EP: 1642 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -167 Time: 1:17:28
EP: 1643 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -34 Time: 1:17:32
EP: 1644 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 52 Time: 1:17:38
EP: 1645 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 147 Time: 1:17:46
EP: 1646 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -37 Time: 1:17:49
EP: 1647 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -170 Time: 1:17:50
EP: 1648 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -20 Time: 1:17:55
EP: 1649 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -49 Time: 1:17:58
EP: 1650 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 75 Time: 1:18:04
EP: 1651 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -44 Time: 1:18:07
EP: 1652 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 92 Time: 1:18:12
EP: 1653 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -22 Time: 1:18:17
EP: 1654 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -172 Time: 1:18:17
EP: 1655 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -74 Time: 1:18:21
EP: 1656 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -173 Time: 1:18:21
EP: 1657 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 27 Time: 1:18:27
EP: 1658 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 52 Time: 1:18:33
EP: 1659 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 65 Time: 1:18:39
EP: 1660 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 17 Time: 1:18:44
EP: 1661 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -36 Time: 1:18:48
EP: 1662 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -16 Time: 1:18:52
EP: 1663 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 48 Time: 1:18:56
EP: 1664 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 147 Time: 1:19:05
EP: 1665 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -28 Time: 1:19:07
EP: 1666 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 28 Time: 1:19:11
EP: 1667 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -34 Time: 1:19:15
EP: 1668 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -176 Time: 1:19:15
EP: 1669 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -28 Time: 1:19:18
EP: 1670 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -36 Time: 1:19:22
EP: 1671 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 50 Time: 1:19:28
EP: 1672 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -57 Time: 1:19:32
EP: 1673 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -170 Time: 1:19:33
EP: 1674 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -12 Time: 1:19:38
EP: 1675 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -107 Time: 1:19:41
EP: 1676 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -36 Time: 1:19:44
EP: 1677 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 73 Time: 1:19:52
EP: 1678 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 37 Time: 1:19:56
EP: 1679 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 17 Time: 1:20:01
EP: 1680 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 44 Time: 1:20:06
EP: 1681 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -23 Time: 1:20:11
EP: 1682 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 64 Time: 1:20:17
EP: 1683 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 127 Time: 1:20:24
EP: 1684 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -39 Time: 1:20:26
EP: 1685 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -34 Time: 1:20:30
EP: 1686 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -40 Time: 1:20:34
EP: 1687 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 70 Time: 1:20:40
EP: 1688 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -24 Time: 1:20:42
EP: 1689 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 63 Time: 1:20:48
EP: 1690 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: -115 Time: 1:20:50
EP: 1691 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 95 Time: 1:20:55
EP: 1692 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 99 Time: 1:21:02
EP: 1693 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 105 Time: 1:21:09
EP: 1694 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 153 Time: 1:21:16
EP: 1695 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.17] - Reward: 41 Time: 1:21:21
EP: 1696 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -12 Time: 1:21:26
EP: 1697 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -7 Time: 1:21:32
EP: 1698 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -43 Time: 1:21:36
EP: 1699 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -44 Time: 1:21:40
EP: 1700 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 135 Time: 1:21:46
EP: 1701 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 147 Time: 1:21:54
EP: 1702 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -10 Time: 1:21:58
EP: 1703 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -25 Time: 1:22:02
EP: 1704 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 40 Time: 1:22:06
EP: 1705 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -37 Time: 1:22:10
EP: 1706 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 46 Time: 1:22:15
EP: 1707 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 143 Time: 1:22:24
EP: 1708 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -26 Time: 1:22:28
EP: 1709 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 166 Time: 1:22:37
EP: 1710 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 80 Time: 1:22:42
EP: 1711 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 63 Time: 1:22:49
EP: 1712 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -20 Time: 1:22:54
EP: 1713 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 139 Time: 1:23:02
EP: 1714 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 207 Time: 1:23:10
EP: 1715 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -45 Time: 1:23:15
EP: 1716 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 165 Time: 1:23:23
EP: 1717 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -23 Time: 1:23:28
EP: 1718 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -40 Time: 1:23:32
EP: 1719 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -40 Time: 1:23:35
EP: 1720 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 59 Time: 1:23:41
EP: 1721 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 183 Time: 1:23:50
EP: 1722 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -32 Time: 1:23:54
EP: 1723 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 143 Time: 1:24:03
EP: 1724 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 116 Time: 1:24:10
EP: 1725 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 64 Time: 1:24:17
EP: 1726 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 160 Time: 1:24:24
EP: 1727 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -36 Time: 1:24:28
EP: 1728 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 37 Time: 1:24:33
EP: 1729 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 112 Time: 1:24:40
EP: 1730 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 164 Time: 1:24:48
EP: 1731 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 61 Time: 1:24:54
EP: 1732 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -6 Time: 1:24:59
EP: 1733 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 155 Time: 1:25:08
EP: 1734 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 170 Time: 1:25:18
EP: 1735 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 152 Time: 1:25:27
EP: 1736 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 182 Time: 1:25:37
EP: 1737 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 111 Time: 1:25:44
EP: 1738 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -48 Time: 1:25:48
EP: 1739 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 100 Time: 1:25:56
EP: 1740 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 43 Time: 1:26:01
EP: 1741 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -13 Time: 1:26:07
EP: 1742 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 35 Time: 1:26:12
EP: 1743 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -30 Time: 1:26:17
EP: 1744 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 168 Time: 1:26:25
EP: 1745 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 164 Time: 1:26:34
EP: 1746 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -35 Time: 1:26:37
EP: 1747 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -18 Time: 1:26:41
EP: 1748 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -31 Time: 1:26:46
EP: 1749 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -5 Time: 1:26:52
EP: 1750 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 58 Time: 1:26:56
EP: 1751 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -167 Time: 1:26:57
EP: 1752 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -55 Time: 1:27:00
EP: 1753 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -112 Time: 1:27:03
EP: 1754 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -30 Time: 1:27:06
EP: 1755 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 2 Time: 1:27:12
EP: 1756 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -18 Time: 1:27:17
EP: 1757 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: 133 Time: 1:27:26
EP: 1758 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.16] - Reward: -22 Time: 1:27:31
EP: 1759 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -19 Time: 1:27:36
EP: 1760 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -135 Time: 1:27:38
EP: 1761 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -33 Time: 1:27:42
EP: 1762 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -44 Time: 1:27:46
EP: 1763 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -9 Time: 1:27:52
EP: 1764 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -18 Time: 1:27:57
EP: 1765 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 145 Time: 1:28:05
EP: 1766 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 57 Time: 1:28:12
EP: 1767 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 139 Time: 1:28:20
EP: 1768 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -33 Time: 1:28:24
EP: 1769 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -35 Time: 1:28:28
EP: 1770 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 48 Time: 1:28:33
EP: 1771 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 161 Time: 1:28:41
EP: 1772 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -20 Time: 1:28:45
EP: 1773 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 46 Time: 1:28:50
EP: 1774 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -20 Time: 1:28:55
EP: 1775 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -30 Time: 1:28:59
EP: 1776 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -38 Time: 1:29:02
EP: 1777 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -50 Time: 1:29:06
EP: 1778 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 132 Time: 1:29:13
EP: 1779 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -51 Time: 1:29:17
EP: 1780 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -35 Time: 1:29:20
EP: 1781 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -62 Time: 1:29:24
EP: 1782 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -170 Time: 1:29:25
EP: 1783 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -172 Time: 1:29:26
EP: 1784 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 116 Time: 1:29:34
EP: 1785 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 69 Time: 1:29:41
EP: 1786 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 45 Time: 1:29:46
EP: 1787 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -15 Time: 1:29:51
EP: 1788 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 46 Time: 1:29:56
EP: 1789 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 87 Time: 1:30:03
EP: 1790 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -46 Time: 1:30:06
EP: 1791 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -141 Time: 1:30:08
EP: 1792 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -9 Time: 1:30:13
EP: 1793 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 98 Time: 1:30:20
EP: 1794 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -19 Time: 1:30:25
EP: 1795 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 109 Time: 1:30:32
EP: 1796 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -85 Time: 1:30:35
EP: 1797 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 223 Time: 1:30:46
EP: 1798 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -21 Time: 1:30:51
EP: 1799 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 140 Time: 1:30:58
EP: 1800 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -137 Time: 1:31:00
EP: 1801 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 45 Time: 1:31:06
EP: 1802 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -56 Time: 1:31:08
EP: 1803 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 271 Time: 1:31:22
EP: 1804 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 141 Time: 1:31:30
EP: 1805 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -18 Time: 1:31:34
EP: 1806 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -20 Time: 1:31:39
EP: 1807 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 195 Time: 1:31:48
EP: 1808 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -23 Time: 1:31:52
EP: 1809 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 247 Time: 1:32:03
EP: 1810 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -172 Time: 1:32:04
EP: 1811 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 131 Time: 1:32:12
EP: 1812 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 7 Time: 1:32:16
EP: 1813 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 108 Time: 1:32:23
EP: 1814 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -33 Time: 1:32:27
EP: 1815 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 217 Time: 1:32:38
EP: 1816 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 130 Time: 1:32:46
EP: 1817 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -1 Time: 1:32:54
EP: 1818 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 47 Time: 1:33:00
EP: 1819 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 133 Time: 1:33:08
EP: 1820 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 67 Time: 1:33:16
EP: 1821 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 75 Time: 1:33:23
EP: 1822 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 132 Time: 1:33:31
EP: 1823 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: -131 Time: 1:33:34
EP: 1824 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.15] - Reward: 48 Time: 1:33:40
EP: 1825 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -32 Time: 1:33:45
EP: 1826 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -41 Time: 1:33:48
EP: 1827 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -125 Time: 1:33:50
EP: 1828 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 69 Time: 1:33:57
EP: 1829 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -20 Time: 1:34:01
EP: 1830 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 174 Time: 1:34:11
EP: 1831 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -135 Time: 1:34:13
EP: 1832 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -28 Time: 1:34:17
EP: 1833 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 58 Time: 1:34:24
EP: 1834 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -40 Time: 1:34:29
EP: 1835 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 12 Time: 1:34:36
EP: 1836 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -24 Time: 1:34:41
EP: 1837 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 35 Time: 1:34:47
EP: 1838 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -131 Time: 1:34:48
EP: 1839 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -42 Time: 1:34:53
EP: 1840 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 280 Time: 1:35:05
EP: 1841 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -113 Time: 1:35:08
EP: 1842 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -103 Time: 1:35:11
EP: 1843 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -58 Time: 1:35:15
EP: 1844 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -29 Time: 1:35:19
EP: 1845 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 70 Time: 1:35:25
EP: 1846 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 75 Time: 1:35:32
EP: 1847 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -172 Time: 1:35:33
EP: 1848 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 86 Time: 1:35:38
EP: 1849 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -166 Time: 1:35:39
EP: 1850 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 77 Time: 1:35:46
EP: 1851 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 90 Time: 1:35:54
EP: 1852 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 102 Time: 1:36:02
EP: 1853 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -26 Time: 1:36:05
EP: 1854 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -86 Time: 1:36:09
EP: 1855 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -123 Time: 1:36:12
EP: 1856 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -35 Time: 1:36:16
EP: 1857 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 152 Time: 1:36:24
EP: 1858 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 43 Time: 1:36:29
EP: 1859 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 57 Time: 1:36:38
EP: 1860 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 110 Time: 1:36:47
EP: 1861 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -42 Time: 1:36:50
EP: 1862 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 169 Time: 1:36:59
EP: 1863 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -36 Time: 1:37:03
EP: 1864 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 87 Time: 1:37:10
EP: 1865 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -24 Time: 1:37:15
EP: 1866 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 140 Time: 1:37:24
EP: 1867 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 153 Time: 1:37:36
EP: 1868 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 62 Time: 1:37:42
EP: 1869 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 93 Time: 1:37:51
EP: 1870 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 110 Time: 1:38:01
EP: 1871 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 61 Time: 1:38:06
EP: 1872 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -16 Time: 1:38:13
EP: 1873 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 96 Time: 1:38:21
EP: 1874 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 138 Time: 1:38:29
EP: 1875 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -27 Time: 1:38:32
EP: 1876 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 90 Time: 1:38:40
EP: 1877 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -142 Time: 1:38:42
EP: 1878 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 112 Time: 1:38:51
EP: 1879 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 199 Time: 1:39:01
EP: 1880 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 196 Time: 1:39:13
EP: 1881 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 5 Time: 1:39:17
EP: 1882 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -171 Time: 1:39:18
EP: 1883 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 32 Time: 1:39:24
EP: 1884 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 97 Time: 1:39:32
EP: 1885 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 74 Time: 1:39:40
EP: 1886 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -98 Time: 1:39:43
EP: 1887 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 106 Time: 1:39:52
EP: 1888 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -15 Time: 1:39:57
EP: 1889 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 126 Time: 1:40:06
EP: 1890 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 56 Time: 1:40:14
EP: 1891 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 137 Time: 1:40:24
EP: 1892 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 3 Time: 1:40:28
EP: 1893 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 91 Time: 1:40:36
EP: 1894 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 84 Time: 1:40:42
EP: 1895 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: -47 Time: 1:40:46
EP: 1896 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.14] - Reward: 85 Time: 1:40:53
EP: 1897 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 78 Time: 1:41:01
EP: 1898 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -144 Time: 1:41:03
EP: 1899 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 89 Time: 1:41:10
EP: 1900 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -129 Time: 1:41:12
EP: 1901 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -133 Time: 1:41:14
EP: 1902 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -102 Time: 1:41:17
EP: 1903 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 76 Time: 1:41:24
EP: 1904 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 127 Time: 1:41:35
EP: 1905 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -19 Time: 1:41:39
EP: 1906 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 22 Time: 1:41:45
EP: 1907 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 48 Time: 1:41:51
EP: 1908 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 119 Time: 1:42:00
EP: 1909 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -144 Time: 1:42:02
EP: 1910 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 14 Time: 1:42:07
EP: 1911 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 72 Time: 1:42:13
EP: 1912 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -146 Time: 1:42:15
EP: 1913 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 62 Time: 1:42:21
EP: 1914 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -114 Time: 1:42:24
EP: 1915 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 45 Time: 1:42:32
EP: 1916 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -51 Time: 1:42:37
EP: 1917 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 70 Time: 1:42:43
EP: 1918 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 101 Time: 1:42:49
EP: 1919 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 130 Time: 1:42:59
EP: 1920 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 46 Time: 1:43:06
EP: 1921 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 25 Time: 1:43:11
EP: 1922 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 137 Time: 1:43:19
EP: 1923 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 47 Time: 1:43:25
EP: 1924 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 178 Time: 1:43:35
EP: 1925 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 39 Time: 1:43:42
EP: 1926 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -123 Time: 1:43:46
EP: 1927 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 92 Time: 1:43:54
EP: 1928 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 126 Time: 1:44:03
EP: 1929 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 85 Time: 1:44:11
EP: 1930 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -65 Time: 1:44:15
EP: 1931 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 141 Time: 1:44:24
EP: 1932 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 34 Time: 1:44:30
EP: 1933 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 54 Time: 1:44:38
EP: 1934 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 200 Time: 1:44:50
EP: 1935 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -2 Time: 1:44:54
EP: 1936 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -42 Time: 1:44:58
EP: 1937 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 175 Time: 1:45:10
EP: 1938 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -170 Time: 1:45:10
EP: 1939 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -140 Time: 1:45:13
EP: 1940 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 119 Time: 1:45:22
EP: 1941 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -147 Time: 1:45:24
EP: 1942 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -101 Time: 1:45:27
EP: 1943 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 129 Time: 1:45:36
EP: 1944 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -23 Time: 1:45:42
EP: 1945 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 40 Time: 1:45:48
EP: 1946 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 181 Time: 1:45:57
EP: 1947 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 114 Time: 1:46:06
EP: 1948 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 109 Time: 1:46:14
EP: 1949 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 42 Time: 1:46:20
EP: 1950 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -134 Time: 1:46:22
EP: 1951 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -10 Time: 1:46:28
EP: 1952 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -6 Time: 1:46:32
EP: 1953 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 153 Time: 1:46:42
EP: 1954 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 108 Time: 1:46:51
EP: 1955 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 216 Time: 1:47:03
EP: 1956 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 130 Time: 1:47:12
EP: 1957 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 96 Time: 1:47:20
EP: 1958 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 154 Time: 1:47:30
EP: 1959 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 137 Time: 1:47:40
EP: 1960 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 188 Time: 1:47:50
EP: 1961 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -140 Time: 1:47:52
EP: 1962 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -173 Time: 1:47:53
EP: 1963 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 27 Time: 1:47:58
EP: 1964 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 94 Time: 1:48:08
EP: 1965 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 119 Time: 1:48:17
EP: 1966 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 202 Time: 1:48:28
EP: 1967 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 153 Time: 1:48:39
EP: 1968 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 189 Time: 1:48:51
EP: 1969 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -41 Time: 1:48:56
EP: 1970 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 444 Time: 1:49:14
EP: 1971 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 160 Time: 1:49:24
EP: 1972 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: -54 Time: 1:49:28
EP: 1973 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.13] - Reward: 141 Time: 1:49:38
EP: 1974 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -36 Time: 1:49:43
EP: 1975 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 78 Time: 1:49:51
EP: 1976 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 200 Time: 1:50:02
EP: 1977 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -139 Time: 1:50:04
EP: 1978 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 178 Time: 1:50:16
EP: 1979 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -137 Time: 1:50:18
EP: 1980 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -135 Time: 1:50:20
EP: 1981 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 46 Time: 1:50:27
EP: 1982 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 8 Time: 1:50:33
EP: 1983 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -141 Time: 1:50:35
EP: 1984 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -132 Time: 1:50:36
EP: 1985 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 131 Time: 1:50:46
EP: 1986 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -154 Time: 1:50:47
EP: 1987 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 356 Time: 1:51:04
EP: 1988 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -137 Time: 1:51:05
EP: 1989 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -139 Time: 1:51:08
EP: 1990 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -13 Time: 1:51:14
EP: 1991 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -4 Time: 1:51:19
EP: 1992 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 163 Time: 1:51:28
EP: 1993 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 159 Time: 1:51:39
EP: 1994 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 269 Time: 1:51:54
EP: 1995 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 67 Time: 1:52:02
EP: 1996 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 138 Time: 1:52:11
EP: 1997 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 44 Time: 1:52:20
EP: 1998 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 84 Time: 1:52:29
EP: 1999 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 146 Time: 1:52:38
EP: 2000 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 237 Time: 1:52:52
EP: 2001 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -25 Time: 1:52:58
EP: 2002 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 111 Time: 1:53:06
EP: 2003 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -137 Time: 1:53:09
EP: 2004 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 252 Time: 1:53:23
EP: 2005 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 112 Time: 1:53:32
EP: 2006 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -27 Time: 1:53:38
EP: 2007 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 145 Time: 1:53:47
EP: 2008 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 268 Time: 1:54:01
EP: 2009 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 11 Time: 1:54:07
EP: 2010 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -14 Time: 1:54:15
EP: 2011 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 82 Time: 1:54:25
EP: 2012 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 108 Time: 1:54:34
EP: 2013 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 80 Time: 1:54:42
EP: 2014 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 169 Time: 1:54:53
EP: 2015 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 115 Time: 1:55:04
EP: 2016 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 292 Time: 1:55:20
EP: 2017 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 67 Time: 1:55:28
EP: 2018 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 42 Time: 1:55:35
EP: 2019 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 243 Time: 1:55:50
EP: 2020 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 485 Time: 1:56:09
EP: 2021 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 84 Time: 1:56:17
EP: 2022 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 89 Time: 1:56:26
EP: 2023 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 69 Time: 1:56:34
EP: 2024 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 102 Time: 1:56:45
EP: 2025 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -148 Time: 1:56:46
EP: 2026 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 119 Time: 1:56:57
EP: 2027 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 215 Time: 1:57:09
EP: 2028 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 90 Time: 1:57:18
EP: 2029 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 144 Time: 1:57:28
EP: 2030 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 112 Time: 1:57:38
EP: 2031 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 35 Time: 1:57:46
EP: 2032 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -24 Time: 1:57:53
EP: 2033 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 224 Time: 1:58:08
EP: 2034 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -171 Time: 1:58:09
EP: 2035 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -16 Time: 1:58:16
EP: 2036 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 215 Time: 1:58:31
EP: 2037 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 103 Time: 1:58:41
EP: 2038 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 84 Time: 1:58:51
EP: 2039 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 149 Time: 1:58:59
EP: 2040 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 128 Time: 1:59:08
EP: 2041 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 92 Time: 1:59:17
EP: 2042 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -30 Time: 1:59:22
EP: 2043 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 165 Time: 1:59:31
EP: 2044 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -34 Time: 1:59:36
EP: 2045 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 127 Time: 1:59:45
EP: 2046 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 40 Time: 1:59:53
EP: 2047 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 0 Time: 1:59:59
EP: 2048 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 93 Time: 2:00:07
EP: 2049 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -26 Time: 2:00:13
EP: 2050 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 89 Time: 2:00:22
EP: 2051 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 4 Time: 2:00:28
EP: 2052 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 134 Time: 2:00:37
EP: 2053 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 138 Time: 2:00:46
EP: 2054 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 95 Time: 2:00:54
EP: 2055 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: -1 Time: 2:01:00
EP: 2056 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.12] - Reward: 159 Time: 2:01:12
EP: 2057 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -108 Time: 2:01:16
EP: 2058 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -26 Time: 2:01:23
EP: 2059 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 176 Time: 2:01:33
EP: 2060 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -140 Time: 2:01:36
EP: 2061 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 136 Time: 2:01:46
EP: 2062 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 161 Time: 2:01:57
EP: 2063 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 221 Time: 2:02:08
EP: 2064 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 223 Time: 2:02:22
EP: 2065 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 182 Time: 2:02:33
EP: 2066 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 120 Time: 2:02:42
EP: 2067 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -1 Time: 2:02:50
EP: 2068 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -38 Time: 2:02:56
EP: 2069 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 159 Time: 2:03:06
EP: 2070 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -32 Time: 2:03:11
EP: 2071 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 144 Time: 2:03:22
EP: 2072 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -19 Time: 2:03:28
EP: 2073 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -20 Time: 2:03:33
EP: 2074 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -33 Time: 2:03:38
EP: 2075 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 159 Time: 2:03:49
EP: 2076 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 162 Time: 2:03:59
EP: 2077 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 177 Time: 2:04:08
EP: 2078 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 16 Time: 2:04:15
EP: 2079 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -6 Time: 2:04:20
EP: 2080 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 182 Time: 2:04:31
EP: 2081 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 168 Time: 2:04:41
EP: 2082 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 75 Time: 2:04:49
EP: 2083 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 190 Time: 2:05:00
EP: 2084 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 133 Time: 2:05:09
EP: 2085 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 190 Time: 2:05:19
EP: 2086 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -31 Time: 2:05:25
EP: 2087 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 132 Time: 2:05:35
EP: 2088 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -40 Time: 2:05:39
EP: 2089 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -8 Time: 2:05:47
EP: 2090 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 172 Time: 2:05:58
EP: 2091 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 141 Time: 2:06:08
EP: 2092 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -36 Time: 2:06:14
EP: 2093 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 7 Time: 2:06:20
EP: 2094 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 275 Time: 2:06:35
EP: 2095 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 140 Time: 2:06:45
EP: 2096 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 225 Time: 2:07:01
EP: 2097 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 34 Time: 2:07:08
EP: 2098 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -6 Time: 2:07:13
EP: 2099 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 221 Time: 2:07:23
EP: 2100 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 18 Time: 2:07:30
EP: 2101 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 47 Time: 2:07:39
EP: 2102 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 216 Time: 2:07:50
EP: 2103 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 38 Time: 2:07:56
EP: 2104 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 44 Time: 2:08:05
EP: 2105 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 279 Time: 2:08:17
EP: 2106 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 271 Time: 2:08:30
EP: 2107 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 100 Time: 2:08:40
EP: 2108 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 128 Time: 2:08:51
EP: 2109 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 579 Time: 2:09:14
EP: 2110 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 313 Time: 2:09:29
EP: 2111 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 275 Time: 2:09:43
EP: 2112 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 24 Time: 2:09:51
EP: 2113 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 94 Time: 2:10:01
EP: 2114 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 20 Time: 2:10:07
EP: 2115 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -45 Time: 2:10:12
EP: 2116 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -32 Time: 2:10:18
EP: 2117 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -13 Time: 2:10:26
EP: 2118 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 65 Time: 2:10:34
EP: 2119 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 176 Time: 2:10:46
EP: 2120 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 276 Time: 2:11:01
EP: 2121 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 2 Time: 2:11:06
EP: 2122 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 222 Time: 2:11:19
EP: 2123 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 98 Time: 2:11:30
EP: 2124 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 382 Time: 2:11:46
EP: 2125 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 79 Time: 2:11:55
EP: 2126 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 98 Time: 2:12:06
EP: 2127 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -129 Time: 2:12:08
EP: 2128 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 247 Time: 2:12:21
EP: 2129 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -23 Time: 2:12:27
EP: 2130 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -25 Time: 2:12:32
EP: 2131 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 134 Time: 2:12:43
EP: 2132 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 670 Time: 2:13:07
EP: 2133 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -19 Time: 2:13:14
EP: 2134 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -11 Time: 2:13:19
EP: 2135 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 67 Time: 2:13:26
EP: 2136 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -141 Time: 2:13:28
EP: 2137 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -35 Time: 2:13:33
EP: 2138 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -5 Time: 2:13:40
EP: 2139 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -19 Time: 2:13:45
EP: 2140 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 46 Time: 2:13:52
EP: 2141 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -41 Time: 2:13:57
EP: 2142 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 43 Time: 2:14:04
EP: 2143 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -36 Time: 2:14:09
EP: 2144 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 29 Time: 2:14:17
EP: 2145 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 231 Time: 2:14:30
EP: 2146 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: -33 Time: 2:14:37
EP: 2147 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.11] - Reward: 394 Time: 2:14:54
EP: 2148 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 352 Time: 2:15:09
EP: 2149 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 392 Time: 2:15:26
EP: 2150 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 135 Time: 2:15:38
EP: 2151 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 374 Time: 2:15:54
EP: 2152 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 130 Time: 2:16:06
EP: 2153 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 71 Time: 2:16:14
EP: 2154 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 185 Time: 2:16:23
EP: 2155 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 115 Time: 2:16:33
EP: 2156 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 406 Time: 2:16:52
EP: 2157 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 363 Time: 2:17:12
EP: 2158 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -12 Time: 2:17:18
EP: 2159 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 414 Time: 2:17:38
EP: 2160 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -18 Time: 2:17:42
EP: 2161 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 24 Time: 2:17:51
EP: 2162 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -171 Time: 2:17:52
EP: 2163 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 274 Time: 2:18:05
EP: 2164 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 243 Time: 2:18:19
EP: 2165 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 329 Time: 2:18:34
EP: 2166 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 339 Time: 2:18:49
EP: 2167 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 678 Time: 2:19:16
EP: 2168 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 41 Time: 2:19:22
EP: 2169 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -36 Time: 2:19:29
EP: 2170 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 446 Time: 2:19:49
EP: 2171 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 34 Time: 2:19:55
EP: 2172 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -141 Time: 2:19:57
EP: 2173 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 158 Time: 2:20:10
EP: 2174 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -104 Time: 2:20:12
EP: 2175 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 51 Time: 2:20:20
EP: 2176 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -37 Time: 2:20:26
EP: 2177 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 42 Time: 2:20:33
EP: 2178 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -45 Time: 2:20:39
EP: 2179 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 809 Time: 2:21:08
EP: 2180 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 94 Time: 2:21:17
EP: 2181 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -167 Time: 2:21:18
EP: 2182 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 117 Time: 2:21:29
EP: 2183 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: -132 Time: 2:21:30
EP: 2184 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 153 Time: 2:21:40
EP: 2185 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 84 Time: 2:21:49
EP: 2186 - [alpha: 0.1 - gamma: 0.8 - epsilon: 0.1] - Reward: 1048 Time: 2:22:18
Traceback (most recent call last):
File "circuit_turtlebot_lidar_qlearn.py", line 50, in <module>
observation = env.reset()
File "/usr/local/lib/python2.7/dist-packages/gym/wrappers/monitor.py", line 37, in reset
self._before_reset()
File "/usr/local/lib/python2.7/dist-packages/gym/wrappers/monitor.py", line 184, in _before_reset
self.stats_recorder.before_reset()
File "/usr/local/lib/python2.7/dist-packages/gym/wrappers/monitoring/stats_recorder.py", line 68, in before_reset
raise error.Error("Tried to reset environment which is not done. While the monitor is active for {}, you cannot call reset() unless the episode is over.".format(self.env_id))
gym.error.Error: Tried to reset environment which is not done. While the monitor is active for GazeboCircuitTurtlebotLidar-v0, you cannot call reset() unless the episode is over.
ros@kasumi:~/gym-gazebo/examples/turtlebot$
plain_text 日历同步会议 - 2018年8月9日
令人敬畏的学员:Cara,Dani,Erin,Samara
example_syncing_email
CALENDAR SYNCING STEPS
https://secure.helpscout.net/conversation/638284396/363815/
Information that we have from the user:
Ryann Hodge - Friday, August 10, 2018 11:00am EDT
Charles Ra - Tuesday, August 7, 2018 12:00pm EDT
1. Find these appointments, so we know whose calendar these were booked on
Ryann Hodge: Ron Saharyan’s calendar
Charles Ra: Debra Angilletta’s calendar
2. Check to see if there are sub-users for each of them, and if so, are they syncing?
Ron: yes, no
Debra: yes, yes
3. Since Ron doesn’t have syncing, check admin account’s syncing (sometimes, they’ll share their calendars with admin instead of connecting their own account and admin will sync on their end)
Ron: yep, that seems to be the case!
4. Knowing which calendars they were syncing to, head to calendar debug on backend
Since Ron’s calendar is being synced from the admin account, you’ll find Ron’s calendar under the admin’s Google account on the backend. If you do a quick search (CMD+F) for “Ryann”, you’ll see it’s still there.
With Debra’s calendar, she’s syncing to her own account on the debra@debraangilletta.com calendar. Doing a search for Charles, that doesn’t seem to be there anymore so she’s good to go.
5. Look into why one is still there, and the other isn’t
So a couple days ago, there was an issue on the Google side of things where calendar syncing functions were affected (Tuesday, August 7) - in #announcements
Looking at Charles’ appointment (on Debra’s calendar), it looks like they cancelled on August 6, 2018 12:20pm EDT. So syncing shouldn’t have been affected.
Looking at Ryann’s appointment (on Ron’s calendar), it looks like the client cancelled on August 9, 2018 12:09pm EDT. So it’s curious why their syncing didn’t go through!
6. Since there aren’t any oddities (like “event doesn’t match Acuity”) on the backend, and looking at the changelog, they haven’t done anything weird like disable/reconnect syncing on the account around that time, we may need to do that “force sync” to see if that change will then get sent through.
acuity_calendar_sync
INFREQUENT SITUATIONS TO LOOK OUT FOR
AADSTS50020: “Azure Active Directory user account”
This comes up with folks who try to sync with an O365 calendar, because they purchased the (usually) Office 365 Home Edition and that doesn’t necessarily come with an O365 calendar; seems like the Office 365 Business Editions does.
Either way, because they purchase that, they believe they have the O365 calendar, but that’s not necessarily the case.
To debug:
- Ask them to go to the O365 online calendar link to see if they can access the calendar: https://outlook.office.com/owa/#path=/calendar/view/Month
- Ask them to go to the Outlook.com calendar link to see if they can access the calendar: https://outlook.live.com/owa/?realm=outlook.com&path=/calendar/view/Month
- Generally, that's what the error message indicates.
- Outlook.com is a free online Outlook calendar which can be connected to Acuity, as well as the Outlook 365 downloadable app.
Example: https://secure.helpscout.net/conversation/634666946/361512/
Exchange to O365 Migration
Sometimes companies who used Outlook Exchange migrate their systems over to Office 365.
When this happens, their syncing stops and even if they disable and reconnect, syncing will not work.
To debug:
- Look up the account ID associated with their sync
- This can be found in the changelog, and it will look something like acc_5791c78fb4ccd0583a0142bb
- Need to create a new email to support@cronofy.com
- Garry is our go-to man there who takes care of this for us
What to look out for:
- Once the account has been removed on the Cronofy side, they need to still reconnect with Exchange and not O365
- If they connect with O365, we’ll need to go through the process again
Examples:
(user) https://secure.helpscout.net/conversation/384891452/209078/?folderId=63602
(Cronofy) https://secure.helpscout.net/conversation/384944329/209133/?folderId=63602
“Event Does Not Match Acuity”
This is something that can show up on the backend, under the Calendar Debug section for Acuity bookings that get synced over to the external calendar.
What this usually means:
- The user has edited the synced event directly on their external calendar
- When this happens the event ID no longer matches between that synced event and the one in Acuity, so if an update to the event happens, it won’t automatically update on the external calendar
To debug:
- In the instance it’s for only a single or handful of appointments, you can manually force an update to make the events match
- “Edit” appointment details and hit “Save” without actually making any changes
- This will basically “refresh” the event and cause a re-sync
Example: https://secure.helpscout.net/conversation/637481300/363302/?folderId=63602 (Erin’s from yesterday)
DEBUGGING + BACKEND
“Created” and “Updated” timestamps
This can come in handy especially when users are convinced that a time was supposed to be blocked off from their external calendar but a client was able to book at that time, or something along those lines.
To debug:
- Check the “created” and “updated” timestamps and compare that to the timestamp of when the appointment in Acuity was booked
Example: https://secure.helpscout.net/conversation/576775692/323246/?folderId=63602
plain_text GH页面已经存在
exists
rm -rf node_modules/gh-pages/.cache
plain_text 将Git连接到Heroku App
connect
$ git remote rm heroku
$ heroku git:remote -a app-name
plain_text 列出远程分支
remote
$ git remote -v
plain_text 在浏览器中打开
browser
$ heroku open
plain_text 部署到Heroku
deploy
$ git push heroku master
plain_text 如何使用Jupyter笔记本中的Pip
ModuleInstall.ipynb
# Install a pip package in the current Jupyter kernel
import sys
!{sys.executable} -m pip install [nameOfModule]
plain_text 免费照片
免费照片
photos
https://www.pexels.com
plain_text Bash语法
1.sh
# Arguments
# is a single string
$*
# is an actual array
$@