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72a1d9d426
* reordering of the episode reset operation and allowing to store episodes only when they are terminated * reordering of the episode reset operation and allowing to store episodes only when they are terminated * revert tensorflow-gpu to 1.9.0 + bug fix in should_train() * tests readme file and refactoring of policy optimization agent train function * Update README.md * Update README.md * additional policy optimization train function simplifications * Updated the traces after the reordering of the environment reset * docker and jenkins files * updated the traces to the ones from within the docker container * updated traces and added control suite to the docker * updated jenkins file with the intel proxy + updated doom basic a3c test params * updated line breaks in jenkins file * added a missing line break in jenkins file * refining trace tests ignored presets + adding a configurable beta entropy value * switch the order of trace and golden tests in jenkins + fix golden tests processes not killed issue * updated benchmarks for dueling ddqn breakout and pong * allowing dynamic updates to the loss weights + bug fix in episode.update_returns * remove docker and jenkins file
7 lines
1.8 KiB
CSV
7 lines
1.8 KiB
CSV
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,Q/Mean,Q/Stdev,Q/Max,Q/Min
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1,0.0,1.0,1117.0,1117.0,1117.0,1117.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
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2,205.0,0.0,1937.0,1937.0,820.0,1937.0,0.9991882000000176,-21.0,-21.0,0.0,,,,3.9302156448364256,0.0010496846440389027,3.931553840637207,3.9267423152923584,0.0002500000000000001,1.0842021724855042e-19,0.00025,0.00025,0.0021735325,0.0023975547,0.015546012,0.0008601941499999999,,,,
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3,413.0,0.0,2768.0,2768.0,831.0,2768.0,0.9983655100000356,-21.0,-21.0,0.0,,,,3.9287387797465687,0.0010725536875668584,3.930054426193237,3.92205548286438,0.0002500000000000001,1.0842021724855042e-19,0.00025,0.00025,0.0014352581,0.0022775119,0.016661283,0.0005455515,0.06143524280438877,0.010833295539136235,0.0730189699679619,0.04586568772792873
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4,667.0,0.0,3783.0,3783.0,1015.0,3783.0,0.9973606600000572,-20.0,-20.0,0.0,,,,3.9281875890071,0.0009267313904696912,3.9292049407958975,3.9252440929412837,0.0002500000000000001,5.421010862427521e-20,0.00025,0.00025,0.0012879773,0.0025753588,0.018626466,0.00030493445,0.06362535804510176,0.0053005873567461975,0.06891775093972746,0.053885202482343325
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5,892.0,0.0,4684.0,4684.0,901.0,4684.0,0.9964686700000768,-20.0,-20.0,0.0,,,,3.9280550532870815,0.0009707394231859632,3.9289817810058594,3.9241018295288086,0.0002500000000000001,1.0842021724855042e-19,0.00025,0.00025,0.00088581746,0.0017567717,0.016409054,0.00022121534999999999,0.06359539761518496,0.005375292811606972,0.07293013073504026,0.05364551693201117
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