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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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47
rl_coach/traces/Atari_DQN_with_PER_space_invaders/trace.csv
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@@ -3,29 +3,24 @@ Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,To
2,0.0,1.0,573.0,573.0,87.0,573.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
3,0.0,1.0,722.0,722.0,149.0,722.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
4,0.0,1.0,1057.0,1057.0,335.0,1057.0,1.0,,,0.0,,,,,,,,,,,,,,,,,,,
5,51.0,0.0,1259.0,1259.0,202.0,1259.0,0.999818200000006,3.0,35.0,0.0,,,,0.002354268465055879,0.0022267908155453207,0.008399246260523796,8.872663784131873e-06,0.00025,0.0,0.00025,0.00025,0.007744235,0.005350461,0.022665123,0.0008465818,,,,
6,81.0,0.0,1382.0,1382.0,123.0,1382.0,0.9997075000000096,4.0,55.0,0.0,,,,0.006926822468327979,0.002244478491556321,0.0135076642036438,0.0033381427638232712,0.0002500000000000001,5.421010862427521e-20,0.00025,0.00025,0.018759595,0.0053872466,0.032931123,0.009214188,,,,
7,152.0,0.0,1665.0,1665.0,283.0,1665.0,0.9994528000000179,2.0,45.0,0.0,,,,0.00354002532754159,0.0019023348592878372,0.009204687550663948,0.00030229013646021485,0.00025,0.0,0.00025,0.00025,0.01304985,0.0035053138,0.024019292,0.008035132,,,,
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28,1173.0,0.0,5749.0,5749.0,82.0,5749.0,0.995777200000139,0.0,0.0,0.0,,,,0.0031465753330849108,0.0012105911527881745,0.0058187893591821185,0.0013689068146049974,0.0002500000000000001,5.421010862427521e-20,0.00025,0.00025,0.018286983,0.005796103299999999,0.036277987000000005,0.011089685,,,,
29,1218.0,0.0,5928.0,5928.0,179.0,5928.0,0.9956161000001444,1.0,5.0,0.0,,,,0.0031859539345734647,0.001230199051850356,0.005495925433933735,0.0007681638235226274,0.00025,0.0,0.00025,0.00025,0.017322628,0.004681325,0.032449782,0.008565956999999999,,,,
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5,63.0,0.0,1310.0,1310.0,253.0,1310.0,0.9997723000000076,4.0,50.0,0.0,,,,0.003875652090250191,0.006230668056782436,0.04718368873000145,2.2094836822361685e-05,0.00025,0.0,0.00025,0.00025,0.01209846,0.018056398,0.1446681,0.0014401993,,,,
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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 Q/Mean Q/Stdev Q/Max Q/Min
3 2 0.0 1.0 573.0 573.0 87.0 573.0 1.0 0.0
4 3 0.0 1.0 722.0 722.0 149.0 722.0 1.0 0.0
5 4 0.0 1.0 1057.0 1057.0 335.0 1057.0 1.0 0.0
6 5 51.0 63.0 0.0 1259.0 1310.0 1259.0 1310.0 202.0 253.0 1259.0 1310.0 0.999818200000006 0.9997723000000076 3.0 4.0 35.0 50.0 0.0 0.002354268465055879 0.003875652090250191 0.0022267908155453207 0.006230668056782436 0.008399246260523796 0.04718368873000145 8.872663784131873e-06 2.2094836822361685e-05 0.00025 0.0 0.00025 0.00025 0.007744235 0.01209846 0.005350461 0.018056398 0.022665123 0.1446681 0.0008465818 0.0014401993
7 6 81.0 191.0 0.0 1382.0 1821.0 1382.0 1821.0 123.0 511.0 1382.0 1821.0 0.9997075000000096 0.9993124000000226 4.0 12.0 55.0 185.0 0.0 0.006926822468327979 0.003655906816839981 0.002244478491556321 0.0017923743519973538 0.0135076642036438 0.008377103134989737 0.0033381427638232712 0.00027508928906172514 0.0002500000000000001 5.421010862427521e-20 1.0842021724855042e-19 0.00025 0.00025 0.018759595 0.013568986000000002 0.0053872466 0.0035154566 0.032931123 0.026353458 0.009214188 0.007167939
8 7 152.0 296.0 0.0 1665.0 2240.0 1665.0 2240.0 283.0 419.0 1665.0 2240.0 0.9994528000000179 0.998935300000035 2.0 5.0 45.0 100.0 0.0 0.00354002532754159 0.003318573732810494 0.0019023348592878372 0.0015315255248514966 0.009204687550663948 0.007952019572257996 0.00030229013646021485 0.00021419327822513878 0.00025 0.0002500000000000001 0.0 1.0842021724855042e-19 0.00025 0.00025 0.01304985 0.014484913 0.0035053138 0.003961455 0.024019292 0.033718556000000004 0.008035132 0.0059639704 0.040829557999999995 0.021066558 0.07627003 0.013901123
9 8 208.0 339.0 0.0 1887.0 2414.0 1887.0 2414.0 222.0 174.0 1887.0 2414.0 0.9992530000000246 0.9987787000000402 1.0 20.0 5.0 0.0 0.003386984325646024 0.003183173737217954 0.0014584238962574282 0.0015401180638853654 0.006831846199929714 0.006335136014968157 0.0003159668995067477 0.00038450717693194747 0.00025 0.0 0.00025 0.00025 0.013196401000000002 0.015692346 0.0034898983 0.0040802797 0.025287742000000002 0.025410485 0.008569226 0.009213975 0.10701928 0.10879564 0.30108258 -0.011487618
10 9 220.0 368.0 0.0 1938.0 2529.0 1938.0 2529.0 51.0 115.0 1938.0 2529.0 0.999207100000026 0.9986752000000436 0.0 3.0 0.0 30.0 0.0 0.003167361059846977 0.003484182040015834 0.0015483758671841056 0.0017209235393860082 0.006221367511898279 0.0067713456228375435 0.0007139326771721244 0.00019597783102653918 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.013424491 0.015461218999999998 0.002968179 0.0044411486 0.0176331 0.025622195 0.009279029 0.005317989699999999
11 10 269.0 411.0 0.0 2131.0 2702.0 2131.0 2702.0 193.0 173.0 2131.0 2702.0 0.9990334000000318 0.9985195000000489 1.0 3.0 5.0 75.0 0.0 0.0032611473170061573 0.003653256459497349 0.0016850956682255482 0.0013851372165254595 0.007028852589428425 0.006258142180740832 0.00020222167950123549 0.0008657328435219824 0.00025 0.0 0.00025 0.00025 0.013227931 0.017220842 0.0036521524 0.0031612364 0.021845128 0.025344394 0.007127245999999999 0.009269036999999999
12 11 363.0 465.0 0.0 2510.0 2915.0 2510.0 2915.0 379.0 213.0 2510.0 2915.0 0.9986923000000429 0.9983278000000549 8.0 3.0 100.0 20.0 0.0 0.003091246536449886 0.0032540040171951195 0.001322660534422889 0.0013094868857552425 0.006632269825786352 0.006947712041437626 0.00032261264277622104 0.0004492675070650876 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.013847044 0.016636208 0.0034531087 0.004167957 0.023722986 0.027587958 0.008786425 0.009301778 0.08158561 0.036171492 0.17906709 0.03910739
13 12 403.0 510.0 0.0 2670.0 3097.0 2670.0 3097.0 160.0 182.0 2670.0 3097.0 0.9985483000000478 0.9981640000000604 1.0 4.0 25.0 60.0 0.0 0.0033887081764987672 0.003109362826216966 0.001894344488589778 0.0013988949206461794 0.00896457675844431 0.006362042855471373 0.00035247692721895874 0.0003950340324081481 0.00025 0.0 0.00025 0.00025 0.014799103000000001 0.016663404 0.005142509 0.004190624 0.03727644 0.027471463999999998 0.008755262 0.010103953
14 13 566.0 550.0 0.0 3319.0 3258.0 3319.0 3258.0 649.0 161.0 3319.0 3258.0 0.997964200000067 0.9980191000000652 20.0 3.0 515.0 75.0 0.0 0.0033814117187088463 0.0035577299742726607 0.001794335243639714 0.001388862490205299 0.00981593132019043 0.008318169042468071 0.00033476535463705664 0.0004163705743849278 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.01542785 0.017404305 0.0042213122 0.0035805209999999997 0.035808 0.02947828 0.008857572 0.012193107
15 14 608.0 594.0 0.0 3490.0 3433.0 3490.0 3433.0 171.0 175.0 3490.0 3433.0 0.997810300000072 0.9978616000000704 2.0 4.0 15.0 50.0 0.0 0.00307327011181596 0.003484184082142662 0.0014598479376536175 0.001732970471266746 0.007876500487327577 0.007269437424838544 0.0004184547869954258 0.0006064289482310414 0.00025 0.0 0.00025 0.00025 0.015182586000000001 0.019197596 0.003907353 0.0056097833 0.025957266 0.03633184 0.008718804 0.009341977
16 15 661.0 630.0 0.0 3699.0 3578.0 3699.0 3578.0 209.0 145.0 3699.0 3578.0 0.9976222000000784 0.9977311000000748 3.0 2.0 30.0 25.0 0.0 0.003574654932204142 0.0037337387426911537 0.0013611143826604485 0.0015802323114164785 0.006663748994469643 0.007099532522261144 0.0012790606124326589 0.0005637581925839187 0.00025 0.0 0.00025 0.00025 0.015538703000000001 0.018333083 0.0037677127 0.0047576996 0.02521416 0.031882799999999996 0.009612316999999999 0.010614046
17 16 699.0 675.0 0.0 3853.0 3756.0 3853.0 3756.0 154.0 178.0 3853.0 3756.0 0.9974836000000828 0.99757090000008 3.0 0.0 75.0 0.0 0.0 0.003063707425577664 0.0036686222513460298 0.0016034075091713835 0.0014980166633852432 0.007304192055016756 0.007150433491915464 0.00034941814374178653 0.0005505527369678019 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.016172405 0.018643329 0.0048504383 0.004285918499999999 0.027080176 0.029188786 0.008548103 0.009071933
18 17 743.0 779.0 0.0 4030.0 4171.0 4030.0 4171.0 177.0 415.0 4030.0 4171.0 0.997324300000088 0.9971974000000924 3.0 6.0 30.0 80.0 0.0 0.00310047399133592 0.003027278060192027 0.0014594212466929055 0.0014114358437464045 0.0075475480407476425 0.007179290056228638 0.0003596151655074209 0.00035245553590357304 0.00025 0.0002500000000000001 0.0 1.0842021724855042e-19 0.00025 0.00025 0.015252826 0.017073763999999998 0.0038106788 0.004743929 0.029333811 0.03250031 0.009897261 0.0089325765 0.109428376 0.008589801 0.08142622 0.041869998 0.25112388 0.065109685 0.031323746 -0.06993793
19 18 763.0 802.0 0.0 4107.0 4265.0 4107.0 4265.0 77.0 94.0 4107.0 4265.0 0.9972550000000904 0.9971128000000952 2.0 1.0 15.0 30.0 0.0 0.00320658921264112 0.002608991115424863 0.0014737941431521605 0.0016136469631561243 0.006449719425290823 0.006101616192609072 0.0006320171523839235 0.0004670571361202746 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.015207966000000002 0.016327688 0.0041951295 0.004186721 0.026854733 0.02735403 0.009781642 0.011188851000000001
20 19 799.0 859.0 0.0 4254.0 4494.0 4254.0 4494.0 147.0 229.0 4254.0 4494.0 0.9971227000000948 0.9969067000001018 2.0 5.0 35.0 100.0 0.0 0.003265373379690573 0.002831909199972359 0.0015747774825930286 0.0013861029304045335 0.006731272675096989 0.006143730133771896 0.0007752227247692645 0.00027022871654480696 0.00025 0.0 0.00025 0.00025 0.016477453 0.016310083 0.0043514105 0.0043867540000000005 0.030398313 0.027778333 0.009153037 0.007568861999999999 0.046633485999999995 0.052421506 0.14200787 -0.033771105
21 20 857.0 925.0 0.0 4485.0 4758.0 4485.0 4758.0 231.0 264.0 4485.0 4758.0 0.9969148000001016 0.9966691000001096 7.0 6.0 110.0 75.0 0.0 0.0033697776560639514 0.0030004231411462213 0.0017829018890948177 0.0014101580596944704 0.009337665513157845 0.007745119743049146 0.0005270092515274882 0.000437128881458193 0.00025 0.0 0.00025 0.00025 0.017007816999999998 0.018002652 0.004538108 0.0047670375 0.034457795 0.030942027999999996 0.0102955345 0.009946148 0.086831845 0.056299467 0.028143487999999998 0.06465223 0.11529497 0.2402926 0.041701294 -0.024710407
22 21 954.0 952.0 0.0 4871.0 4866.0 4871.0 4866.0 386.0 108.0 4871.0 4866.0 0.9965674000001129 0.9965719000001128 1.0 0.0 10.0 0.0 0.0 0.0032097528227748944 0.0030828455604093442 0.0014270266361265948 0.001222012049279153 0.0072808810509741315 0.005216440185904503 0.00034487116499803966 0.0004437630705069751 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.016735202 0.01797254 0.0040815175 0.004588888 0.029879992999999997 0.029642342000000002 0.009203656999999999 0.011304895 0.08063345 0.06771858 0.22763099 -0.04870935
23 22 987.0 989.0 0.0 5006.0 5012.0 5006.0 5012.0 135.0 146.0 5006.0 5012.0 0.9964459000001171 0.9964405000001172 1.0 2.0 15.0 45.0 0.0 0.00348929021944941 0.002605638285684917 0.0013416678040725266 0.0011707703827911154 0.006667369976639748 0.005040653981268406 0.0004941442748531699 0.00027624226640909905 0.00025 0.0 0.00025 0.00025 0.017052516 0.014817067 0.0037629176 0.0034752183 0.02555473 0.023371994 0.010013681 0.00671804
24 23 1038.0 1130.0 0.0 5208.0 5575.0 5208.0 5575.0 202.0 563.0 5208.0 5575.0 0.9962641000001229 0.995933800000134 3.0 9.0 30.0 305.0 0.0 0.003096698048323685 0.002375550828799804 0.001467369498213491 0.0011445915311848994 0.006518170703202486 0.005559086799621582 0.0005598508287221193 0.00019633854390122 0.00025 0.0 0.00025 0.00025 0.017208265 0.014003215 0.004186028 0.003680551 0.02688086 0.026976977000000003 0.009457254 0.0064814542 0.058442097 0.038910393 0.12662977 -0.038043927000000005
25 24 1054.0 1161.0 0.0 5274.0 5702.0 5274.0 5702.0 66.0 127.0 5274.0 5702.0 0.9962047000001251 0.9958195000001376 2.0 3.0 15.0 75.0 0.0 0.0023996760137379174 0.002494539588599676 0.0011494210259765632 0.0010564055929805105 0.005033135414123535 0.005466931965202093 0.00040235067717731 0.0005216930294409393 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.014471052 0.014305183 0.0028194014 0.0035644062 0.018233253 0.02292288 0.0090312585 0.008908606 0.09159353 0.073366776 0.19782996 -0.007508415
26 25 1076.0 1228.0 0.0 5359.0 5970.0 5359.0 5970.0 85.0 268.0 5359.0 5970.0 0.9961282000001276 0.9955783000001456 1.0 0.0 15.0 0.0 0.0 0.0031479224470041863 0.0021856559421091033 0.0018338206488306352 0.0011062408831445708 0.008050543256103992 0.005686123855412006 0.00018393099890090525 0.0002359695208724588 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.016573252 0.013199517 0.0058718068000000005 0.0036920388 0.02915352 0.024785466000000003 0.005962694 0.006574779300000001
26 1133.0 0.0 5587.0 5587.0 228.0 5587.0 0.9959230000001342 4.0 50.0 0.0 0.002919742441327687 0.001194507040554492 0.006624207831919193 0.00057441764511168 0.00025 0.0 0.00025 0.00025 0.016612988000000002 0.00332599 0.026537797999999998 0.010939502 0.09447273 0.045939725 0.15817265 0.033776283
27 1153.0 0.0 5667.0 5667.0 80.0 5667.0 0.9958510000001366 1.0 15.0 0.0 0.00301869151298888 0.0013370276603479855 0.006056639365851879 0.001242607831954956 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.016518693 0.003245745 0.022646153 0.010498283999999998
28 1173.0 0.0 5749.0 5749.0 82.0 5749.0 0.995777200000139 0.0 0.0 0.0 0.0031465753330849108 0.0012105911527881745 0.0058187893591821185 0.0013689068146049974 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.018286983 0.005796103299999999 0.036277987000000005 0.011089685
29 1218.0 0.0 5928.0 5928.0 179.0 5928.0 0.9956161000001444 1.0 5.0 0.0 0.0031859539345734647 0.001230199051850356 0.005495925433933735 0.0007681638235226274 0.00025 0.0 0.00025 0.00025 0.017322628 0.004681325 0.032449782 0.008565956999999999
30 1232.0 0.0 5983.0 5983.0 55.0 5983.0 0.9955666000001461 2.0 15.0 0.0 0.0033092185206312157 0.0009492089431610681 0.0049632079899311074 0.0016535777831450105 0.0002500000000000001 1.0842021724855042e-19 0.00025 0.00025 0.016791698 0.0036438016999999997 0.024807067999999998 0.012081898999999998