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result.log
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C:\Users\manus\.conda\envs\drlnd\python.exe E:/Programming/python/udacity_p2_continous-control/Continous_Control.py
INFO:unityagents:
'Academy' started successfully!
Unity Academy name: Academy
Number of Brains: 1
Number of External Brains : 1
Lesson number : 0
Reset Parameters :
goal_speed -> 1.0
goal_size -> 5.0
Unity brain name: ReacherBrain
Number of Visual Observations (per agent): 0
Vector Observation space type: continuous
Vector Observation space size (per agent): 33
Number of stacked Vector Observation: 1
Vector Action space type: continuous
Vector Action space size (per agent): 4
Vector Action descriptions: , , ,
ActorNetwork(
(fc1): Linear(in_features=33, out_features=128, bias=True)
(fc2): Linear(in_features=128, out_features=128, bias=True)
(fc3): Linear(in_features=128, out_features=4, bias=True)
)
CriticNetwork(
(fc1): Linear(in_features=33, out_features=128, bias=True)
(fc2): Linear(in_features=132, out_features=128, bias=True)
(fc3): Linear(in_features=128, out_features=1, bias=True)
)
Episode 10 avg Score: 0.76
Episode 20 avg Score: 1.05
Episode 30 avg Score: 1.94
Episode 40 avg Score: 2.51
Episode 50 avg Score: 3.19
Episode 60 avg Score: 3.74
Episode 70 avg Score: 4.80
Episode 80 avg Score: 5.00
Episode 90 avg Score: 5.73
Episode 100 avg Score: 6.32
Episode 110 avg Score: 7.02
Episode 120 avg Score: 7.96
Episode 130 avg Score: 8.62
Episode 140 avg Score: 9.71
Episode 150 avg Score: 10.65
Episode 160 avg Score: 11.59
Episode 170 avg Score: 11.86
Episode 180 avg Score: 12.79
Episode 190 avg Score: 13.72
Episode 200 avg Score: 15.04
Episode 210 avg Score: 16.60
Episode 220 avg Score: 18.34
Episode 230 avg Score: 20.22
Episode 240 avg Score: 21.55
Episode 250 avg Score: 23.06
Episode 260 avg Score: 24.21
Episode 270 avg Score: 25.96
Episode 280 avg Score: 27.61
Episode 290 avg Score: 28.81
Episode 300 avg Score: 29.71
Episode 303 avg Score: 30.06
Environment solved in 303 episodes! Average Score: 30.06