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Itaicaspi/episode reset refactoring (#105)

Browse Source 
* 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
This commit is contained in:
Itai Caspi
2018-09-04 15:07:54 +03:00
committed by GitHub
parent 7086492127
commit 72a1d9d426
92 changed files with 9803 additions and 9740 deletions
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210
rl_coach/traces/Doom_Basic_A3C/trace.csv
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@@ -24,103 +24,113 @@ Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,To
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24,0.0,1.0,3.0,1.0,3.0,971.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
25,0.0,1.0,75.0,1.0,75.0,1046.0,0.0,,,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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122,201.0,0.0,75.0,1.0,75.0,5474.0,0.0,-3.550000000000001,-355.0,0.0,,,,,,,,,,,,1.1641353,0.08314788,1.2472832,1.0809875,1.3549463,0.0023445706,1.3583336000000001,1.3491211,-0.6444816781251159,0.3473906465504453,-0.017922812104225166,-1.2632787779065715,-0.15952565,0.01056897,-0.14205746,-0.18425788,0.26801845,0.022625126000000002,0.29064357,0.24539332,-0.88073206,0.016097306999999998,-0.86463475,-0.89682937
123,202.0,0.0,2.0,1.0,2.0,5476.0,0.0,0.95,95.0,0.0,,,,,,,,,,,,,,,,1.3542923999999998,9.775162e-06,1.3543022,1.3542826000000001,,,,,,,,,,,,,,,,
124,205.0,0.0,75.0,1.0,75.0,5551.0,0.0,-3.450000000000001,-345.0,0.0,,,,,,,,,,,,1.7915651999999997,0.0758391,1.8674043000000002,1.7157261000000001,1.3536475000000001,0.0025989802,1.356349,1.3458863,-0.6311689404551575,0.33380382318361873,-0.02782211542129517,-1.1368111657951323,-0.15873542,0.009834788,-0.14305216,-0.1869144,0.2548996,0.0008423626400000001,0.25574195,0.25405723,-0.9357493,0.0045098662,-0.9312394,-0.94025916
125,208.0,0.0,75.0,1.0,75.0,5626.0,0.0,-3.600000000000001,-360.0,0.0,,,,,,,,,,,,1.5431185,0.14640397,1.6895224999999998,1.3967146000000001,1.3503208,0.0032081567,1.3550524,1.3419981,-0.647608584336881,0.34526095799998546,-0.015995332002639782,-1.2358415515683656,-0.17158829,0.011918065,-0.14979975,-0.19935639,0.26930097,0.0061507522999999995,0.27545172,0.26315022,-0.92053074,0.007097125,-0.9134336,-0.92762786
126,211.0,0.0,75.0,1.0,75.0,5701.0,0.0,-3.7500000000000013,-375.0,0.0,,,,,,,,,,,,1.3253839,0.061731398,1.3871152,1.2636524,1.3437642,0.0037232274,1.3493396,1.333231,-0.6676206535674994,0.36514927029717104,-0.03830403923988343,-1.2780524993144076,-0.20211743,0.014490966999999999,-0.1685412,-0.22781351,0.2895257,0.004619032,0.29414472,0.28490666,-0.89881563,0.001573354,-0.89724225,-0.90038896
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129,216.0,0.0,3.0,1.0,3.0,5786.0,0.0,0.91,91.0,0.0,,,,,,,,,,,,,,,,1.3270081,0.0014484782999999999,1.32899,1.3255683999999999,,,,,,,,,,,,,,,,
130,219.0,0.0,75.0,1.0,75.0,5861.0,0.0,-3.650000000000001,-365.0,0.0,,,,,,,,,,,,1.6967714,0.1305291,1.8273005,1.5662423,1.3205233,0.0045011034,1.3278142,1.3090442,-0.6568562251497009,0.3442016337305423,-0.01895306348800657,-1.2326476872251395,-0.29071388,0.015522659,-0.2584232,-0.3213945,0.27496737,0.009405896,0.28437328,0.2655615,-0.8710215,0.02878347,-0.8422379999999999,-0.89980495
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133,224.0,0.0,2.0,1.0,2.0,5962.0,0.0,0.95,95.0,0.0,,,,,,,,,,,,,,,,1.2941566999999998,0.00011026858999999998,1.2942669,1.2940464,,,,,,,,,,,,,,,,
134,227.0,0.0,75.0,1.0,75.0,6037.0,0.0,-3.700000000000001,-370.0,0.0,,,,,,,,,,,,2.444325,0.24716079,2.6914860000000003,2.1971643,1.2770138999999998,0.010255184,1.2931968999999999,1.2513416000000002,-0.6161493825242733,0.3456571668285863,-0.037974663972854594,-1.1931613630155866,-0.38556036,0.020749448,-0.34513396,-0.43289843,0.24955945,0.017245486,0.26680493,0.23231396,-0.8604765,0.060799599999999995,-0.7996769,-0.9212761
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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
24 23 0.0 1.0 75.0 1.0 75.0 968.0 0.0 0.0
25 24 0.0 1.0 3.0 1.0 3.0 971.0 0.0 0.0
26 25 0.0 1.0 75.0 1.0 75.0 1046.0 0.0 0.0
27 26 3.0 0.0 0.0 75.0 6.0 1.0 75.0 6.0 1121.0 1052.0 0.0 -3.650000000000001 0.79 -365.0 79.0 0.0 1.4210448 0.43517196 2.0333636000000004 1.0613953 1.3854993999999998 1.3858805 0.00019843189999999998 4.9300383e-05 1.3859350000000001 1.3859346000000001 1.3849983000000001 1.3857906999999998 -1.1180653877275262 0.7278069200605847 -0.02584952205419541 -2.5995019091996867 -0.04345649 0.07208687 0.035159677 -0.17203778 0.6476585 0.51463443 1.3743427 0.24938077 -1.3049358999999998 0.52861917 -0.8823958000000001 -2.050296
28 27 6.0 2.0 0.0 75.0 48.0 1.0 75.0 48.0 1196.0 1100.0 0.0 -3.450000000000001 -1.2400000000000009 -345.0 -124.0 0.0 1.1649608999999999 1.0603528999999998 0.61194307 0.0 1.7380313000000003 1.0603528999999998 0.31681705 1.0603528999999998 1.3844464 1.3843464 0.00039841184999999996 0.0006111205999999999 1.3851235 1.3850988000000002 1.3834118 1.3831844 -0.484717402537712 -0.7179118247005697 0.3496162668459896 0.3831718130157461 0.2027145689725876 -0.04496447831392288 -1.1186897590733305 -1.3242349502361983 -0.33312684 0.06258804 0.05856229 0.005679825 -0.22961883 0.080068044 -0.43346795 0.051643826 0.15419178 0.33110902 0.08743089 0.0 0.23261923 0.33110902 0.03219465 0.33110902 -0.5896762 -0.99340945 0.28100467 0.0 -0.19386367 -0.99340945 -0.81831974 -0.99340945
29 28 9.0 5.0 0.0 75.0 1.0 75.0 1271.0 1175.0 0.0 -3.5500000000000016 -3.5000000000000018 -355.0 -350.0 0.0 1.7624241000000003 0.97736835 0.96009046 0.07318029 2.5512102000000003 1.0505487 0.41094026 0.9041880999999999 1.382723 1.3832214 0.00044694457999999997 0.0003312171 1.383704 1.3838422 1.3813375 1.3825413999999998 -0.418581430398668 -0.6545199456116205 0.390871006618249 0.3521466388088303 0.44515912890434267 -0.023736187219619752 -1.0607924090564924 -1.2746953388329203 -0.6369351 0.073084235 0.095566474 0.00925333 -0.46922275 0.092455514 -0.78618646 0.05494927 0.14091729999999997 0.27620184 0.08230059599999999 0.029216102999999997 0.2118034 0.30541795 0.025527695 0.24698575 -0.455658 -0.8890959 0.43203005 0.04729542 0.15457033 -0.84180045 -0.78705925 -0.9363913
30 29 11.0 8.0 0.0 45.0 75.0 1.0 45.0 75.0 1316.0 1250.0 0.0 -0.9700000000000008 -3.5000000000000013 -97.0 -350.0 0.0 2.7919473999999997 0.7753800000000001 0.022935271 0.031005442 2.8148828 0.80638546 2.7690122 0.7443746 1.3826326 1.3834916000000002 0.00045131562999999996 0.00033727614 1.3834785 1.3840059999999998 1.3813818000000002 1.3826296 -0.15841347366468694 -0.6601529701655661 0.5339760723564214 0.3498331567271064 0.8070183014869692 -0.0354124903306365 -0.9115656940164812 -1.2316039241651071 -0.9113421999999999 0.0011263175 0.044855833 0.017030407 -0.8421049999999999 0.028038273 -1.022633 -0.026930882000000003 0.15271601 0.27909259999999997 0.0071896464 0.0041956455 0.15990566 0.28328824 0.14552636 0.27489695 0.023793876000000002 -0.9122646999999999 0.6911689999999999 0.0056624413 0.7149629 -0.90660226 -0.66737515 -0.91792715
31 30 12.0 11.0 0.0 12.0 75.0 1.0 12.0 75.0 1328.0 1325.0 0.0 0.5 -3.5000000000000013 50.0 -350.0 0.0 9.916115 0.89581734 0.0 0.042768717000000005 9.916115 0.93858606 9.916115 0.8530485999999999 1.3831218 1.3829811 0.00042228852 0.00043420504999999997 1.3838873 1.3837812 1.3822594 1.3820933000000002 1.63756731079016 -0.6518041444950805 0.2014156642633167 0.33774153118045697 1.9823022389411928 -0.03557998031377793 1.3203434273961905 -1.1937909453485678 -1.0079272 -0.10043154 0.027325856000000003 0.017749084 -0.9587193000000002 -0.073084176 -1.0487063 -0.12670578 1.3610975 0.26945895 0.0 0.0026946813 1.3610975 0.27215365 1.3610975 0.26676428 2.25483 -0.9013469000000001 0.0 0.007905691999999999 2.25483 -0.8934412 2.25483 -0.9092526
32 31 15.0 12.0 0.0 75.0 3.0 1.0 75.0 3.0 1403.0 1328.0 0.0 -3.550000000000001 0.91 -355.0 91.0 0.0 5.382782499999999 3.65655 10.553925 2.7961776 1.3824899 1.3820944 0.0005690091 5.5096232e-05 1.3838294 1.3821553999999998 1.3811178999999998 1.3820218999999998 -0.11546784206235708 0.8724918500006197 2.0152687931060798 -1.0283473250386264 -0.9298415999999999 0.06621869 -0.8089274999999999 -1.1022822 0.6130714 0.6386850000000001 1.5162071000000001 0.14979243 0.33293024 1.4310055 2.3564950000000002 -0.7024036
33 32 18.0 15.0 0.0 75.0 1.0 75.0 1478.0 1403.0 0.0 -3.450000000000001 -3.5000000000000013 -345.0 -350.0 0.0 2.649051 1.2222917 0.25735536 0.05011362 2.9123175 1.2724053999999998 2.2997810000000003 1.1721781 1.3783106 1.3832096999999999 0.0011385782 0.0005254522 1.3804581 1.3842524999999999 1.3751411 1.3821847 -0.32894932590569764 -0.6588844337502759 0.4751254119893012 0.3448566434059799 0.7446368074417115 -0.03847547709941865 -1.0124301682427042 -1.202938337894229 -0.8360904 -0.21195003 0.027581895 0.009782445 -0.7843071 -0.19226079 -0.91500205 -0.23789321 0.158633 0.27652740000000003 0.030366378 0.0050875396000000005 0.18832868 0.28161493 0.11691882 0.27143985 -0.28210807 -0.9011829 0.63541853 0.021726906 0.6161074000000001 -0.8794559999999999 -0.7544930999999999 -0.9229098
34 33 21.0 18.0 0.0 75.0 1.0 75.0 1553.0 1478.0 0.0 -3.450000000000001 -3.5000000000000013 -345.0 -350.0 0.0 2.49016 1.4189493999999998 0.09313669 0.035537064 2.5964717999999998 1.4544864 2.3696616 1.3834122 1.372891 1.3838558 0.0016733349 0.00028254266 1.37565 1.3845279 1.3681931 1.3829571000000003 -0.31343886352959155 -0.6073100738953641 0.4705809817758987 0.3215651056051668 0.7353200531005859 -0.01577136754989622 -0.9623084072597464 -1.1579134771207027 -0.7952610999999999 -0.27792463 0.029490948 0.015424719 -0.73593146 -0.25469622 -0.8873118 -0.31427386 0.15416552 0.23611483 0.02130747 0.008968971999999999 0.17709233 0.24508381 0.12576744 0.22714587 -0.24090977 -0.83952886 0.62895656 0.016391695 0.6485679 -0.82313716 -0.6869225 -0.85592055
35 34 24.0 21.0 0.0 75.0 1.0 75.0 1628.0 1553.0 0.0 -3.550000000000001 -3.650000000000001 -355.0 -365.0 0.0 2.7285235 1.9385436000000003 0.18519671 0.08677387 2.9557915 2.0253174 2.5021567000000005 1.8517697 1.3656700000000002 1.3826957 0.0022438597 0.0004984584500000001 1.3693026000000001 1.3834374 1.3587936999999999 1.3811913 -0.3239587144391952 -0.6128985557276221 0.4756180043841353 0.3264381883338669 0.7655251816749572 -0.02646312952041624 -0.9916574291249814 -1.1697141269348459 -0.8492019000000001 -0.39514172 0.03211048 0.025269035 -0.7850520000000001 -0.36096355 -0.9321128000000001 -0.45909120000000003 0.15836017 0.24110329 0.02759391 0.0010471418 0.18923949 0.24215044 0.12225685 0.24005616 -0.2639742 -0.8548022 0.6423032 0.00088471174 0.6435434 -0.8539174999999999 -0.75148135 -0.8556869
36 35 27.0 24.0 0.0 75.0 71.0 1.0 75.0 71.0 1703.0 1624.0 0.0 -3.450000000000001 -2.410000000000001 -345.0 -241.0 0.0 2.8273566000000003 2.4297166 0.23459432 0.071774006 3.1170185 2.5014906000000003 2.542441 2.3579426 1.3592468999999998 1.37992 0.002624993 0.0010818191 1.362565 1.3815558000000001 1.3514527 1.3769128000000002 -0.29665994171783017 -0.6233785211733873 0.4783325081713127 0.32524402908321737 0.9079026794433592 -0.018147566318512 -1.0377551930646502 -1.1444151565578995 -0.9217337 -0.5908944 0.032966643999999996 0.04701044 -0.8553050999999999 -0.5276795999999999 -1.0115606 -0.671913 0.15677945 0.24719217 0.018011777 0.02952084 0.18174952 0.276713 0.1399346 0.21767133 -0.22104841 -0.84663975 0.63951004 0.06924957 0.6813516 -0.7773901999999999 -0.72435623 -0.9158893
37 36 28.0 27.0 0.0 17.0 75.0 1.0 17.0 75.0 1720.0 1699.0 0.0 0.35 -3.600000000000001 35.0 -360.0 0.0 3.742258 2.6527889 0.0 0.027222872000000002 3.742258 2.6800117 3.742258 2.625566 1.3553870000000001 1.3803284 0.0008664355 0.0007226 1.3575158999999999 1.381536 1.3542912 1.3780663999999998 0.6350319370642021 -0.5496141871958409 0.1913085166686675 0.31269674940721953 0.902070424556732 -0.02035991191864017 0.2819697546083703 -1.0818637706199328 -0.99829966 -0.74196976 0.03760526 0.024090372000000002 -0.9420704 -0.7080188000000001 -1.0626086000000001 -0.7987959 0.21993226 0.19992746 0.0 0.001897946 0.21993226 0.20182541 0.21993226 0.19802952 0.84081686 -0.75930953 0.0 0.009484857 0.84081686 -0.74982464 0.84081686 -0.76879436
38 37 30.0 28.0 0.0 42.0 22.0 1.0 42.0 22.0 1762.0 1721.0 0.0 -0.9600000000000012 0.049999999999999815 -96.0 5.0 0.0 6.043968700000001 3.0536695 9.097638 2.9902992000000004 1.3523086000000002 1.3793775 0.0019513306 0.00031783382000000003 1.3554336999999999 1.3803272 1.3460136999999999 1.3788790000000002 0.2341246332319788 1.0533766168562504 1.948442211151123 -0.9532303971094092 -0.9712589 0.023123555 -0.92171335 -1.0299104 0.73448837 0.5505509 1.2850392 0.18393749 0.6894125 1.3823181 2.0717306 -0.6929056
39 38 33.0 31.0 0.0 75.0 1.0 75.0 1837.0 1796.0 0.0 -3.450000000000001 -3.700000000000001 -345.0 -370.0 0.0 5.476917299999999 2.884435 3.5220568 0.061094284000000006 10.44921 2.9455292 2.7366917 2.8233407 1.3576466999999999 1.3799344 0.0026756634 0.000563691 1.3624886999999999 1.3814925 1.3490535 1.3784752 -0.19368305056866209 -0.544068269594048 0.8505655488246631 0.3170961459103222 1.8951812195777893 -0.03251282215118412 -1.0532688598131048 -1.0707267591771623 -0.86361307 -0.8160941999999999 0.052983046 0.028093813 -0.7678024 -0.7647708000000001 -1.0086156 -0.8681261999999998 0.57011694 0.19827999999999998 0.5366733 0.0037748292 1.3286352 0.20205484 0.16816604 0.19450518 0.28191712 -0.7599563 1.4597291000000001 0.011392355 2.3446999 -0.74856395 -0.8195375 -0.77134866
40 39 36.0 33.0 0.0 75.0 35.0 1.0 75.0 35.0 1912.0 1831.0 0.0 -3.350000000000002 -0.6700000000000008 -335.0 -67.0 0.0 2.603609 3.3811746 0.23581594 0.0 2.8374145 3.3811746 2.2807574 3.3811746 1.3581367 1.3777697 0.0019727566 0.0007079522 1.3637162 1.3787724 1.3533932 1.375472 -0.3312130665604611 -0.6313017298261623 0.4904378221395714 0.31035096318624983 0.7267015194892883 -0.019853391647338903 -1.0203936459988294 -1.1412189076199588 -0.78329283 -0.83163416 0.02891695 0.027063154 -0.70815706 -0.8016962 -0.8577065999999999 -0.88318825 0.16742122 0.24742958 0.027988192000000002 0.0 0.19471570000000002 0.24742958 0.12894925 0.24742958 -0.28230083 -0.87917167 0.6371789000000001 0.0 0.61879504 -0.87917167 -0.73673457 -0.87917167
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