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Trace tests update

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Shadi Endrawis
2018-08-20 13:01:17 +03:00
parent c1f428666e
commit 3abb6cd415
99 changed files with 12876 additions and 39 deletions
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6
rl_coach/traces/Pendulum_HAC/trace.csv Normal file
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Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,Total steps,Epsilon,Shaped Training Reward,Training Reward,Update Target Network,Evaluation Reward,Shaped Evaluation Reward,Success Rate,Loss/Mean,Loss/Stdev,Loss/Max,Loss/Min,Learning Rate/Mean,Learning Rate/Stdev,Learning Rate/Max,Learning Rate/Min,Grads (unclipped)/Mean,Grads (unclipped)/Stdev,Grads (unclipped)/Max,Grads (unclipped)/Min,Entropy/Mean,Entropy/Stdev,Entropy/Max,Entropy/Min,Advantages/Mean,Advantages/Stdev,Advantages/Max,Advantages/Min,Values/Mean,Values/Stdev,Values/Max,Values/Min,Value Loss/Mean,Value Loss/Stdev,Value Loss/Max,Value Loss/Min,Policy Loss/Mean,Policy Loss/Stdev,Policy Loss/Max,Policy Loss/Min,Q/Mean,Q/Stdev,Q/Max,Q/Min,TD targets/Mean,TD targets/Stdev,TD targets/Max,TD targets/Min,actions/Mean,actions/Stdev,actions/Max,actions/Min
1,0.0,1.0,97.0,1.0,25.0,25.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
2,0.0,1.0,194.0,2.0,25.0,50.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
3,0.0,0.0,291.0,3.0,25.0,75.0,-0.03819695695002292,-1000.0,-1000.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.05867912,0.040427182,0.038633604,-0.13119522,,,,,-0.5875804651149715,0.9883034640881114,0.2924503923099136,-3.1955509185791016
4,0.0,0.0,388.0,4.0,25.0,100.0,0.008508156342542239,-1000.0,-1000.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.04915462,0.027965656000000002,0.015574882,-0.11603892,,,,,-0.5310139374222866,0.9150246753002113,0.2726461971315715,-2.9480751131842533
5,0.0,0.0,485.0,5.0,25.0,125.0,0.0,-1000.0,-1000.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-0.047291752,0.027684617999999998,0.030320742999999997,-0.11130883,,,,,-0.5612901779256286,0.929480152044698,0.23112091422080994,-2.8455907461559957
1 Episode # Training Iter In Heatup ER #Transitions ER #Episodes Episode Length Total steps Epsilon Shaped Training Reward Training Reward Update Target Network Evaluation Reward Shaped Evaluation Reward Success Rate Loss/Mean Loss/Stdev Loss/Max Loss/Min Learning Rate/Mean Learning Rate/Stdev Learning Rate/Max Learning Rate/Min Grads (unclipped)/Mean Grads (unclipped)/Stdev Grads (unclipped)/Max Grads (unclipped)/Min Entropy/Mean Entropy/Stdev Entropy/Max Entropy/Min Advantages/Mean Advantages/Stdev Advantages/Max Advantages/Min Values/Mean Values/Stdev Values/Max Values/Min Value Loss/Mean Value Loss/Stdev Value Loss/Max Value Loss/Min Policy Loss/Mean Policy Loss/Stdev Policy Loss/Max Policy Loss/Min Q/Mean Q/Stdev Q/Max Q/Min TD targets/Mean TD targets/Stdev TD targets/Max TD targets/Min actions/Mean actions/Stdev actions/Max actions/Min
2 1 0.0 1.0 97.0 1.0 25.0 25.0 0.0 0.0
3 2 0.0 1.0 194.0 2.0 25.0 50.0 0.0 0.0
4 3 0.0 0.0 291.0 3.0 25.0 75.0 -0.03819695695002292 -1000.0 -1000.0 0.0 -0.05867912 0.040427182 0.038633604 -0.13119522 -0.5875804651149715 0.9883034640881114 0.2924503923099136 -3.1955509185791016
5 4 0.0 0.0 388.0 4.0 25.0 100.0 0.008508156342542239 -1000.0 -1000.0 0.0 -0.04915462 0.027965656000000002 0.015574882 -0.11603892 -0.5310139374222866 0.9150246753002113 0.2726461971315715 -2.9480751131842533
6 5 0.0 0.0 485.0 5.0 25.0 125.0 0.0 -1000.0 -1000.0 0.0 -0.047291752 0.027684617999999998 0.030320742999999997 -0.11130883 -0.5612901779256286 0.929480152044698 0.23112091422080994 -2.8455907461559957