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coach/rl_coach/traces/Mujoco_NAF_hopper/trace.csv
Itai Caspi 72a1d9d426 Itaicaspi/episode reset refactoring (#105)
* 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
2018-09-04 15:07:54 +03:00

132 lines
52 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,L/Mean,L/Stdev,L/Max,L/Min,Advantage/Mean,Advantage/Stdev,Advantage/Max,Advantage/Min,Action/Mean,Action/Stdev,Action/Max,Action/Min,V/Mean,V/Stdev,V/Max,V/Min,TD targets/Mean,TD targets/Stdev,TD targets/Max,TD targets/Min
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2,0.0,1.0,34.0,2.0,19.0,34.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
3,0.0,1.0,46.0,3.0,12.0,46.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
4,0.0,1.0,71.0,4.0,25.0,71.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
5,0.0,1.0,103.0,5.0,32.0,103.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
6,0.0,1.0,119.0,6.0,16.0,119.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
7,0.0,1.0,147.0,7.0,28.0,147.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
8,0.0,1.0,204.0,8.0,57.0,204.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
9,0.0,1.0,219.0,9.0,15.0,219.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
10,0.0,1.0,230.0,10.0,11.0,230.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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18,0.0,1.0,414.0,18.0,24.0,414.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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21,0.0,1.0,467.0,21.0,21.0,467.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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50,1195.0,0.0,1298.0,50.0,39.0,1298.0,0.003865664970593368,63.56320340091675,63.56320340091675,0.0,,,,0.021575050965858333,0.011886344990314948,0.057236373191699386,0.0020821942016482358,0.0010000000000000002,2.168404344971009e-19,0.001,0.001,0.33279672,0.15957052,0.85854894,0.067698255,1.8669738999999999,0.5338279,2.8731902000000002,1.1518760000000001,0.07884838,0.14219898,0.43123770000000006,-0.1919344,0.0,0.0,-0.0,-0.0,0.61922663,0.28194016,0.9749068999999999,0.07787583,1.8669738999999999,0.5338279,2.8731902000000002,1.1518760000000001,0.7853491834202951,0.5714610681112472,2.9685061826708523,-1.1991729621388942
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