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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_DDQN_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,,,,,,,,,,,,,,,,,,,
5,51.0,0.0,1259.0,1259.0,202.0,1259.0,0.9998000200000045,3.0,35.0,0.0,,,,0.0034466183491281745,0.003340898543875149,0.01218117494136095,2.661944745341316e-05,6.25e-05,0.0,6.25e-05,6.25e-05,0.011219176,0.007470515600000001,0.02738716,0.0017668923,,,,
6,81.0,0.0,1382.0,1382.0,123.0,1382.0,0.9996782500000072,4.0,55.0,0.0,,,,0.011165372235700487,0.004458774445701718,0.021819429472088814,0.005195816047489643,6.250000000000001e-05,1.3552527156068802e-20,6.25e-05,6.25e-05,0.027822528,0.007687265,0.04223389599999999,0.016463846,,,,
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27,966.0,0.0,4920.0,4920.0,67.0,4920.0,0.996175630000083,1.0,5.0,0.0,,,,0.002170577046105309,0.0011411493600190698,0.00466995220631361,0.0002499166294001043,6.25e-05,0.0,6.25e-05,6.25e-05,0.008650793,0.0019061747,0.012208687,0.005993179,,,,
28,1047.0,0.0,5245.0,5245.0,325.0,5245.0,0.99585388000009,4.0,40.0,0.0,,,,0.0024006758916427463,0.0012690461042417142,0.005421573296189308,0.0001969042932614684,6.250000000000001e-05,1.3552527156068802e-20,6.25e-05,6.25e-05,0.009089955,0.0023783583,0.015432458000000001,0.0056008375,0.058892712,0.021359037999999997,0.10233389,0.030309968
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23,1033.0,0.0,5187.0,5187.0,175.0,5187.0,0.9959113000000888,0.0,0.0,0.0,,,,0.0021631214036791453,0.0010276500026280158,0.004965011961758137,0.00023919624800328165,6.25e-05,0.0,6.25e-05,6.25e-05,0.009726720999999999,0.0021573787,0.01670704,0.006440047,0.13069957,0.037176996000000004,0.19228284,0.08094616
24,1089.0,0.0,5412.0,5412.0,225.0,5412.0,0.9956885500000936,3.0,30.0,0.0,,,,0.002553392111232305,0.0011096866629888736,0.005850483663380146,0.0003285239799879492,6.25e-05,0.0,6.25e-05,6.25e-05,0.011104784,0.002389212,0.017829941999999998,0.00757342,0.0682852,0.061801534000000005,0.18812282,-0.006229040999999999
25,1136.0,0.0,5602.0,5602.0,190.0,5602.0,0.9955004500000976,2.0,45.0,0.0,,,,0.001876247199648555,0.0011046318131782585,0.004761672578752041,0.00023924620472826064,6.250000000000001e-05,1.3552527156068802e-20,6.25e-05,6.25e-05,0.009521739,0.002407699,0.016262773,0.005831246700000001,0.035645377,0.06185295,0.17193483,-0.037299167
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 0.9998000200000045 0.9997495300000054 3.0 4.0 35.0 50.0 0.0 0.0034466183491281745 0.007803874562153987 0.003340898543875149 0.008763884069155965 0.01218117494136095 0.04718368873000145 2.661944745341316e-05 2.0029816369060427e-05 6.25e-05 0.0 6.25e-05 6.25e-05 0.011219176 0.021732036 0.007470515600000001 0.022223754 0.02738716 0.1446681 0.0017668923 0.0012787414999999999
7 6 81.0 191.0 0.0 1382.0 1821.0 1382.0 1821.0 123.0 511.0 1382.0 1821.0 0.9996782500000072 0.9992436400000164 4.0 12.0 55.0 185.0 0.0 0.011165372235700487 0.0076840334204318905 0.004458774445701718 0.00407478669790096 0.021819429472088814 0.020887335762381557 0.005195816047489643 0.0006209309794940053 6.250000000000001e-05 6.250000000000003e-05 1.3552527156068802e-20 2.7105054312137605e-20 6.25e-05 6.25e-05 0.027822528 0.024990046000000002 0.007687265 0.007374348 0.04223389599999999 0.05583174 0.016463846 0.01457165
8 7 152.0 296.0 0.0 1665.0 2240.0 1665.0 2240.0 283.0 419.0 1665.0 2240.0 0.9993980800000132 0.9988288300000254 2.0 5.0 45.0 100.0 0.0 0.00623855225964856 0.006064200656865503 0.0030330486680636712 0.0026079780747149924 0.013224589638412 0.013106426224112509 0.0007156636565923692 0.0005442567635327578 6.25e-05 6.250000000000003e-05 0.0 2.7105054312137605e-20 6.25e-05 6.25e-05 0.018865645 0.022204678999999998 0.005285673 0.0051587676 0.033977974 0.03801172 0.010334366999999999 0.01337866 0.04552897400000001 0.014450824 0.06804762 0.022983871
9 8 208.0 339.0 0.0 1887.0 2414.0 1887.0 2414.0 222.0 174.0 1887.0 2414.0 0.9991783000000178 0.9986565700000292 1.0 20.0 5.0 0.0 0.0038385935840778975 0.0056167520910263245 0.0021158033238458662 0.003348133333552833 0.00906903576105833 0.01847168803215027 0.0003513850388117134 0.0006152484565973282 6.25e-05 0.0 6.25e-05 6.25e-05 0.013778427 0.022583058 0.0030470558 0.006212645699999999 0.021373875 0.04925069 0.008706516 0.014691319 0.117131494 0.075825356 0.25262827 0.034186434
10 9 220.0 368.0 0.0 1938.0 2529.0 1938.0 2529.0 51.0 115.0 1938.0 2529.0 0.9991278100000188 0.9985427200000316 0.0 3.0 0.0 30.0 0.0 0.003801035270347105 0.00567412653721736 0.0018785112794797772 0.0029112874704095106 0.006776161491870879 0.012542505748569964 0.0003781157138291746 0.0006649551214650272 6.250000000000001e-05 1.3552527156068802e-20 6.25e-05 6.25e-05 0.012194245 0.02317206 0.0018602667000000002 0.005647781 0.01696095 0.034866843 0.01006682 0.014415748999999999
11 10 269.0 411.0 0.0 2131.0 2702.0 2131.0 2702.0 193.0 173.0 2131.0 2702.0 0.9989367400000232 0.9983714500000354 1.0 3.0 5.0 75.0 0.0 0.003452837460066135 0.005447928440421386 0.0021161494549021354 0.0027157055388668696 0.010810058563947678 0.011556550860404968 0.0002755867608357221 0.0005230194656178355 6.25e-05 0.0 6.25e-05 6.25e-05 0.012883931999999999 0.022507405 0.0038414826 0.0063080876 0.026179705 0.04279238 0.007717976999999999 0.014129612
12 11 363.0 465.0 0.0 2509.0 2915.0 2509.0 2915.0 378.0 213.0 2509.0 2915.0 0.9985625200000312 0.99816058000004 8.0 3.0 105.0 20.0 0.0 0.0038385342929185312 0.006813380568516704 0.002197450802281801 0.002953363187898618 0.013560933992266657 0.018070373684167862 0.000329795788275078 0.0024055785033851858 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.013579085 0.024714846000000002 0.0045603695000000005 0.0069003645 0.035137113 0.053911198 0.0076442054 0.013334683 0.060884252 0.008807714 0.07398923 0.044078137999999996
13 12 403.0 510.0 0.0 2667.0 3097.0 2667.0 3097.0 158.0 182.0 2667.0 3097.0 0.9984061000000346 0.9979804000000438 1.0 4.0 20.0 60.0 0.0 0.0039893238288641435 0.0057438461899033035 0.0021892620525771848 0.0028426672841737203 0.009860016405582428 0.013382650911808014 0.0002942612045444548 0.0006364500150084497 6.25e-05 0.0 6.25e-05 6.25e-05 0.013888638 0.023799596 0.0039621494 0.0060355333 0.028397342000000002 0.047333322000000004 0.008886355 0.012709315
14 13 424.0 550.0 0.0 2753.0 3258.0 2753.0 3258.0 86.0 161.0 2753.0 3258.0 0.9983209600000365 0.9978210100000472 1.0 3.0 25.0 75.0 0.0 0.003456612211829495 0.0061742550285998725 0.0020587698243105523 0.002734396119005929 0.008297181688249111 0.011426813900470734 0.00038015557220205675 0.0025493670254945755 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.012752383999999999 0.024373332 0.0027827478 0.0076977109999999994 0.020799935 0.054041553 0.009112617 0.015785009
15 14 487.0 594.0 0.0 3003.0 3433.0 3003.0 3433.0 250.0 175.0 3003.0 3433.0 0.9980734600000418 0.9976477600000512 4.0 35.0 50.0 0.0 0.0035351967242258117 0.0054328095094777285 0.0021189242929216105 0.0027096778707884584 0.009568667039275171 0.01172078587114811 0.00023944152053445575 0.0007941549411043526 6.25e-05 0.0 6.25e-05 6.25e-05 0.013402411000000001 0.023894975 0.0034090402000000004 0.0066084154 0.022448676 0.04917719 0.008539663000000001 0.01552412
16 15 559.0 630.0 0.0 3292.0 3578.0 3292.0 3578.0 289.0 145.0 3292.0 3578.0 0.997787350000048 0.9975042100000542 3.0 2.0 45.0 25.0 0.0 0.0035738618094506404 0.005161296885085499 0.0020785595659065575 0.002379623212789025 0.009401696734130384 0.011234099976718426 0.0003029023064300418 0.000592207710724324 6.25e-05 0.0 6.25e-05 6.25e-05 0.013828838999999999 0.022190819 0.004127528 0.0047294693 0.024494877 0.033406414 0.008980279 0.014175736999999999
17 16 591.0 675.0 0.0 3421.0 3756.0 3421.0 3756.0 129.0 178.0 3421.0 3756.0 0.9976596400000508 0.997327990000058 1.0 0.0 20.0 0.0 0.0 0.002270541154302918 0.005717846387679772 0.0013220278591834814 0.002502733532058393 0.005336767993867397 0.011211811564862728 0.00015750376041978598 0.0006601698696613313 6.25e-05 0.0 6.25e-05 6.25e-05 0.008640400999999999 0.025067486 0.0027808861 0.006331243 0.015539816000000001 0.04131097 0.0048837294 0.016266715
18 17 641.0 779.0 0.0 3619.0 4171.0 3619.0 4171.0 198.0 415.0 3619.0 4171.0 0.9974636200000552 0.9969171400000668 4.0 6.0 50.0 80.0 0.0 0.0023200249412911947 0.004081658166307114 0.001272970510092554 0.0020001996419927288 0.005772919394075871 0.009709015488624571 0.00016006443183869123 0.0003917928552255034 6.25e-05 6.250000000000003e-05 0.0 2.7105054312137605e-20 6.25e-05 6.25e-05 0.008547546999999999 0.018329315 0.0024141644 0.0046630735 0.014635223999999999 0.031186484 0.00513471 0.008738925 0.022281086000000002 0.02669226 0.06086207 -0.0070810173999999995
19 18 659.0 802.0 0.0 3694.0 4265.0 3694.0 4265.0 75.0 94.0 3694.0 4265.0 0.9973893700000568 0.9968240800000692 2.0 1.0 15.0 30.0 0.0 0.00222514630392349 0.003856045330631668 0.0012230397213823035 0.002170383825603264 0.0049801948480308065 0.007952725514769554 0.00019548021373339 0.0005409078439697623 6.25e-05 6.250000000000001e-05 0.0 1.3552527156068802e-20 6.25e-05 6.25e-05 0.008170923 0.018558994 0.0017159204 0.0060107456999999994 0.012074826 0.033156354 0.0055588847 0.012791273999999998
20 19 676.0 859.0 0.0 3761.0 4494.0 3761.0 4494.0 67.0 229.0 3761.0 4494.0 0.997323040000058 0.996597370000074 0.0 5.0 0.0 100.0 0.0 0.002457476888701101 0.003978008200647309 0.001416694384168644 0.0016841297405167286 0.004826911259442568 0.008312854915857315 0.00020686438074335456 0.0003705012204591185 6.25e-05 0.0 6.25e-05 6.25e-05 0.009877314 0.018162485 0.0036330753999999996 0.0049022716 0.016690083 0.03275322 0.0060720159999999995 0.010325382 0.035759527 0.035056762000000005 0.08535823 -0.008915286
21 20 760.0 925.0 0.0 4098.0 4758.0 4098.0 4758.0 337.0 264.0 4098.0 4758.0 0.9969894100000654 0.9963360100000797 5.0 6.0 75.0 0.0 0.0024319054032925385 0.002300493763714957 0.0013263558155535164 0.0010825562309593726 0.005569641478359699 0.0046387091279029855 0.00018588016973808408 0.0002016235230257735 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.009379297 0.010100276 0.0030807509999999996 0.0024906192 0.019846683 0.01585796 0.0054414636 0.0059240386 0.04652569 0.048761707 0.016040854 0.05004603 0.06404913 0.15401264 0.015960556 -0.0024325964
22 21 791.0 952.0 0.0 4222.0 4866.0 4222.0 4866.0 124.0 108.0 4222.0 4866.0 0.9968666500000679 0.996229090000082 1.0 0.0 30.0 0.0 0.0 0.0021794731803839247 0.002475268014957412 0.0011718290688936287 0.0012914969110412403 0.005569073371589185 0.00562380813062191 0.0001716011029202491 0.0003233719035051763 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.00873512 0.01129343 0.0021913913 0.0028471393 0.016666776 0.01932526 0.0058183987 0.007399376500000001
23 22 812.0 989.0 0.0 4304.0 5012.0 4304.0 5012.0 82.0 146.0 4304.0 5012.0 0.9967854700000698 0.9960845500000849 1.0 2.0 5.0 45.0 0.0 0.0019065574230071867 0.002166505141455369 0.0011469396393949038 0.000924038288373833 0.003925406374037266 0.004925021436065435 0.00020020424562972042 0.00027738657081499696 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.008078746500000001 0.010186652 0.0020175315 0.0026935977 0.012820823 0.019467099999999998 0.006058481 0.007402484
24 23 858.0 1033.0 0.0 4488.0 5187.0 4488.0 5187.0 184.0 175.0 4488.0 5187.0 0.9966033100000736 0.9959113000000888 3.0 0.0 40.0 0.0 0.0 0.00237545639222093 0.0021631214036791453 0.0014159762842297016 0.0010276500026280158 0.0052749416790902615 0.004965011961758137 0.00012829533079639077 0.00023919624800328165 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.009339779 0.009726720999999999 0.0036552486 0.0021573787 0.02111213 0.01670704 0.0047810297 0.006440047 0.058359805 0.13069957 0.02419141 0.037176996000000004 0.09481566 0.19228284 0.03411417 0.08094616
25 24 877.0 1089.0 0.0 4563.0 5412.0 4563.0 5412.0 75.0 225.0 4563.0 5412.0 0.9965290600000754 0.9956885500000936 2.0 3.0 35.0 30.0 0.0 0.0018037814221124313 0.002553392111232305 0.000942041831796274 0.0011096866629888736 0.0039741676300764075 0.005850483663380146 0.00020381834474392235 0.0003285239799879492 6.250000000000001e-05 6.25e-05 1.3552527156068802e-20 0.0 6.25e-05 6.25e-05 0.007797141600000001 0.011104784 0.0016731704999999998 0.002389212 0.012402746000000001 0.017829941999999998 0.0055578630000000006 0.00757342 0.069268644 0.0682852 0.030192586 0.061801534000000005 0.1046643 0.18812282 0.008713403 -0.006229040999999999
26 25 903.0 1136.0 0.0 4669.0 5602.0 4669.0 5602.0 106.0 190.0 4669.0 5602.0 0.9964241200000776 0.9955004500000976 0.0 2.0 0.0 45.0 0.0 0.0022410110227960665 0.001876247199648555 0.0010767211744821578 0.0011046318131782585 0.0042915213853120795 0.004761672578752041 0.0001786778011592105 0.00023924620472826064 6.25e-05 6.250000000000001e-05 0.0 1.3552527156068802e-20 6.25e-05 6.25e-05 0.008801429 0.009521739 0.0023838158 0.002407699 0.014880427 0.016262773 0.005826161 0.005831246700000001 0.035645377 0.06185295 0.17193483 -0.037299167
26 949.0 0.0 4853.0 4853.0 184.0 4853.0 0.9962419600000816 0.0 0.0 0.0 0.0024887697854074245 0.0014360504525598654 0.00585534330457449 0.00016110201249830425 6.250000000000001e-05 1.3552527156068802e-20 6.25e-05 6.25e-05 0.009557521 0.0031522116999999996 0.01680403 0.005234984 0.053540934000000005 0.0246497 0.09204285599999999 0.013581572
27 966.0 0.0 4920.0 4920.0 67.0 4920.0 0.996175630000083 1.0 5.0 0.0 0.002170577046105309 0.0011411493600190698 0.00466995220631361 0.0002499166294001043 6.25e-05 0.0 6.25e-05 6.25e-05 0.008650793 0.0019061747 0.012208687 0.005993179
28 1047.0 0.0 5245.0 5245.0 325.0 5245.0 0.99585388000009 4.0 40.0 0.0 0.0024006758916427463 0.0012690461042417142 0.005421573296189308 0.0001969042932614684 6.250000000000001e-05 1.3552527156068802e-20 6.25e-05 6.25e-05 0.009089955 0.0023783583 0.015432458000000001 0.0056008375 0.058892712 0.021359037999999997 0.10233389 0.030309968
29 1096.0 0.0 5442.0 5442.0 197.0 5442.0 0.9956588500000942 0.0 0.0 0.0 0.0019011555625035484 0.0011534560731979529 0.005133558064699173 0.00018047218327410516 6.25e-05 0.0 6.25e-05 6.25e-05 0.008425966 0.002764765 0.017151356 0.0056821685 0.06334073 0.02206539 0.102514274 0.027491631000000002
30 1222.0 0.0 5946.0 5946.0 504.0 5946.0 0.9951598900001052 10.0 155.0 0.0 0.002289209580339957 0.001271651628931315 0.006031029857695103 0.0001688292104518041 6.250000000000003e-05 2.7105054312137605e-20 6.25e-05 6.25e-05 0.008890314 0.0025685276 0.01631673 0.004984512 0.04618715 0.025464163999999997 0.0957826 -0.0035402263