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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
Download Patch File Download Diff File Expand all files Collapse all files

396
rl_coach/traces/Atari_Bootstrapped_DQN_breakout/trace.csv
View File

@@ -1,196 +1,206 @@
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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180,1068.0,0.0,5341.0,5341.0,24.0,5341.0,0.0,0.0,0.0,0.0,,,,0.0007052614043156307,3.99640944341777e-05,0.0007683390867896378,0.0006615084712393582,0.00025,0.0,0.00025,0.00025,0.0058175119999999995,0.00028599962,0.0063370913,0.005416173000000001,,,,
181,1074.0,0.0,5365.0,5365.0,24.0,5365.0,2.0,0.0,0.0,0.0,,,,0.005772346291147794,0.01162358542152948,0.03176339343190193,0.0005321194184944035,0.00025,0.0,0.00025,0.00025,0.0070195645,0.0038079484000000004,0.015533217,0.0052372795,,,,
182,1080.0,0.0,5389.0,5389.0,24.0,5389.0,9.0,0.0,0.0,0.0,,,,0.003074380574010623,0.0058099168020117825,0.016065718606114388,0.0004548155702650547,0.00025,0.0,0.00025,0.00025,0.0058865409999999995,0.002517935,0.0114888875,0.004329839,,,,
183,1086.0,0.0,5413.0,5413.0,24.0,5413.0,6.0,0.0,0.0,0.0,,,,0.0031413032556883986,0.005882387406057678,0.01629454456269741,0.0004533133469522,0.00025,0.0,0.00025,0.00025,0.00607061,0.002394195,0.011405054,0.0046613785,,,,
184,1091.0,0.0,5433.0,5433.0,20.0,5433.0,7.0,0.0,0.0,0.0,,,,0.0037109955912455923,0.006387700774854597,0.016486307606101036,0.0004980566445738077,0.00025,0.0,0.00025,0.00025,0.0058491025,0.00274459,0.011305306999999999,0.0039285896,,,,
185,1106.0,0.0,5491.0,5491.0,58.0,5491.0,8.0,1.0,1.0,0.0,,,,0.0046672117023263135,0.0070156627238116545,0.016432885080575943,0.00036531346268020565,0.0002500000000000001,1.0842021724855042e-19,0.00025,0.00025,0.0059634885,0.0030967373999999997,0.011355354,0.0037232903000000003,,,,
186,1112.0,0.0,5515.0,5515.0,24.0,5515.0,3.0,0.0,0.0,0.0,,,,0.00553916238519984,0.011449363056066602,0.03114051185548305,0.00037904808414168656,0.00025,0.0,0.00025,0.00025,0.006882925,0.005911077,0.020094633,0.0039821197,,,,
187,1118.0,0.0,5539.0,5539.0,24.0,5539.0,1.0,0.0,0.0,0.0,,,,0.00035515646838272613,3.838219424117168e-05,0.00040246406570076937,0.00030476783285848796,0.00025,0.0,0.00025,0.00025,0.00408072,9.9515375e-05,0.004249587,0.003954905,,,,
188,1138.0,0.0,5622.0,5622.0,83.0,5622.0,6.0,2.0,2.0,0.0,,,,0.0064581017191812865,0.007571006205542616,0.015897143632173538,0.0002435080677969381,0.0002500000000000001,5.421010862427521e-20,0.00025,0.00025,0.006269695699999999,0.0032252863,0.011176118999999998,0.0033332759999999996,0.013389683999999999,0.0041976627,0.019113302,0.00817342
189,1140.0,0.0,5628.0,5628.0,6.0,5628.0,9.0,0.0,0.0,0.0,,,,0.015295407734811306,0.0,0.015295407734811306,0.015295407734811306,0.00025,0.0,0.00025,0.00025,0.00922109,0.0,0.00922109,0.00922109,-0.015242763999999999,0.0015106951,-0.013364602,-0.01756613
190,1146.0,0.0,5652.0,5652.0,24.0,5652.0,4.0,0.0,0.0,0.0,,,,0.005448862318492805,0.007236518040763812,0.015874821692705154,0.0002912871132139116,0.00025,0.0,0.00025,0.00025,0.0058127553,0.0030408136,0.010460923,0.0032668987,,,,
191,1152.0,0.0,5676.0,5676.0,24.0,5676.0,6.0,0.0,0.0,0.0,,,,0.0003458602247216428,1.752821842645404e-05,0.0003679682849906385,0.00031406633206643164,0.00025,0.0,0.00025,0.00025,0.0040731759999999995,0.00018424366000000002,0.0043680985,0.0038459226,,,,
192,1158.0,0.0,5700.0,5700.0,24.0,5700.0,1.0,0.0,0.0,0.0,,,,0.008048765875476723,0.011829206499038505,0.031257953494787216,0.0002793838502839208,0.00025,0.0,0.00025,0.00025,0.007708535999999999,0.0061435914000000005,0.02038512,0.003527945,,,,
193,1164.0,0.0,5724.0,5724.0,24.0,5724.0,2.0,0.0,0.0,0.0,,,,0.00030321558006107807,3.7434389647781984e-05,0.0003781483683269471,0.00026287973742000764,0.00025,0.0,0.00025,0.00025,0.0035585890999999996,0.00012295066999999999,0.0037462192,0.0033638034999999996,,,,
194,1170.0,0.0,5748.0,5748.0,24.0,5748.0,9.0,0.0,0.0,0.0,,,,0.0003788941636836777,2.369668697607825e-05,0.00041463956586085265,0.00034187184064649045,0.00025,0.0,0.00025,0.00025,0.004086547,0.00025116384,0.0045621920000000005,0.0037107703000000005,,,,
195,1176.0,0.0,5772.0,5772.0,24.0,5772.0,4.0,0.0,0.0,0.0,,,,0.010572193520298848,0.011382070257897791,0.03100407123565674,0.00040244008414447313,0.00025,0.0,0.00025,0.00025,0.007723868,0.0034986709999999996,0.013698802,0.0043682083,0.0531943,0.004029863,0.058354697999999997,0.047571506
196,1182.0,0.0,5796.0,5796.0,24.0,5796.0,3.0,0.0,0.0,0.0,,,,0.005526127900035743,0.0071652721486833715,0.01567025668919086,0.0004428662941791117,0.00025,0.0,0.00025,0.00025,0.006029308000000001,0.0023689838,0.009556727,0.0042737937,,,,
197,1188.0,0.0,5820.0,5820.0,24.0,5820.0,2.0,0.0,0.0,0.0,,,,0.002972651724121533,0.0056804815275527856,0.01567457802593708,0.00041388245881535113,0.00025,0.0,0.00025,0.00025,0.0049891938,0.0024912704,0.010551692,0.0036193659999999997,,,,
198,1194.0,0.0,5844.0,5844.0,24.0,5844.0,2.0,0.0,0.0,0.0,,,,0.010646890029117154,0.011451306008668958,0.031204123049974438,0.00041194306686520576,0.00025,0.0,0.00025,0.00025,0.008467193000000001,0.005753667,0.019727292,0.0036315609999999997,,,,
199,1200.0,0.0,5868.0,5868.0,24.0,5868.0,0.0,0.0,0.0,0.0,,,,0.0005904120140864202,3.2986826977412546e-05,0.0006402230937965214,0.0005413803155533968,0.00025,0.0,0.00025,0.00025,0.0041632648,0.00030787903,0.0046315165,0.003751369,-0.004008972,0.004022249,0.002536932,-0.008183761500000001
200,1206.0,0.0,5892.0,5892.0,24.0,5892.0,3.0,0.0,0.0,0.0,,,,0.00571736553683877,0.007166880705736317,0.015945447608828545,0.000615639437455684,0.00025,0.0,0.00025,0.00025,0.0067311428,0.0022736867000000003,0.010167416,0.0049001332,,,,
201,1212.0,0.0,5916.0,5916.0,24.0,5916.0,2.0,0.0,0.0,0.0,,,,0.0031864690245129172,0.005668946009825254,0.01586248353123665,0.0006105082575231791,0.00025,0.0,0.00025,0.00025,0.0058919440000000005,0.0019688401,0.010270476,0.004698408,0.017797045,0.002667085,0.020214628000000002,0.013366026999999999
202,1225.0,0.0,5968.0,5968.0,52.0,5968.0,2.0,1.0,1.0,0.0,,,,0.002946585080980395,0.005472538001487024,0.015908917412161827,0.0005342193762771785,0.0002500000000000001,1.0842021724855042e-19,0.00025,0.00025,0.005424489300000001,0.002106088,0.010424684,0.0041501783000000006,,,,
203,1231.0,0.0,5992.0,5992.0,24.0,5992.0,2.0,0.0,0.0,0.0,,,,0.008460521950231245,0.007837311241162616,0.016478467732667926,0.0006102157640270889,0.00025,0.0,0.00025,0.00025,0.0080851745,0.0033784702000000002,0.011604343,0.004449917,,,,
204,1237.0,0.0,6016.0,6016.0,24.0,6016.0,7.0,0.0,0.0,0.0,,,,0.0006064342936345688,5.712764476502136e-05,0.0006743455305695534,0.0005268207751214504,0.00025,0.0,0.00025,0.00025,0.0047076694,0.00038727926,0.005361051800000001,0.0041359933,,,,
205,1243.0,0.0,6040.0,6040.0,24.0,6040.0,3.0,0.0,0.0,0.0,,,,0.005843518107819061,0.007575576093751754,0.016729332506656647,0.000452770123956725,0.00025,0.0,0.00025,0.00025,0.0065482184,0.0034289393,0.0115698,0.0039897487,,,,
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
2 1 0.0 1.0 73.0 73.0 73.0 73.0 7.0 0.0
3 2 0.0 1.0 92.0 92.0 19.0 92.0 2.0 0.0
4 3 0.0 1.0 116.0 116.0 24.0 116.0 2.0 1.0 0.0
5 4 0.0 1.0 140.0 140.0 24.0 140.0 3.0 6.0 0.0
6 5 0.0 1.0 164.0 164.0 24.0 164.0 3.0 6.0 0.0
7 6 0.0 1.0 254.0 188.0 254.0 188.0 90.0 24.0 254.0 188.0 4.0 0.0 0.0
8 7 0.0 1.0 278.0 212.0 278.0 212.0 24.0 278.0 212.0 8.0 6.0 0.0
9 8 0.0 1.0 302.0 264.0 302.0 264.0 24.0 52.0 302.0 264.0 6.0 5.0 0.0
10 9 0.0 1.0 326.0 288.0 326.0 288.0 24.0 326.0 288.0 4.0 1.0 0.0
11 10 0.0 1.0 378.0 312.0 378.0 312.0 52.0 24.0 378.0 312.0 7.0 1.0 0.0
12 11 0.0 1.0 379.0 336.0 379.0 336.0 1.0 24.0 379.0 336.0 3.0 2.0 0.0
13 12 0.0 1.0 403.0 388.0 403.0 388.0 24.0 52.0 403.0 388.0 6.0 0.0
14 13 0.0 1.0 427.0 412.0 427.0 412.0 24.0 427.0 412.0 2.0 6.0 0.0
15 14 0.0 1.0 451.0 436.0 451.0 436.0 24.0 451.0 436.0 7.0 6.0 0.0
16 15 0.0 1.0 475.0 460.0 475.0 460.0 24.0 475.0 460.0 8.0 0.0 0.0
17 16 0.0 1.0 527.0 484.0 527.0 484.0 52.0 24.0 527.0 484.0 7.0 5.0 0.0
18 17 0.0 1.0 536.0 508.0 536.0 508.0 9.0 24.0 536.0 508.0 2.0 6.0 0.0
19 18 0.0 1.0 560.0 532.0 560.0 532.0 24.0 560.0 532.0 6.0 0.0 0.0
20 19 0.0 1.0 628.0 556.0 628.0 556.0 68.0 24.0 628.0 556.0 0.0 9.0 0.0
21 20 0.0 1.0 652.0 580.0 652.0 580.0 24.0 652.0 580.0 5.0 6.0 0.0
22 21 0.0 1.0 676.0 604.0 676.0 604.0 24.0 676.0 604.0 6.0 1.0 0.0
23 22 0.0 1.0 700.0 647.0 700.0 647.0 24.0 43.0 700.0 647.0 0.0 6.0 0.0
24 23 0.0 1.0 781.0 671.0 781.0 671.0 81.0 24.0 781.0 671.0 8.0 3.0 0.0
25 24 0.0 1.0 805.0 695.0 805.0 695.0 24.0 805.0 695.0 0.0 9.0 0.0
26 25 0.0 1.0 829.0 719.0 829.0 719.0 24.0 829.0 719.0 3.0 0.0
27 26 0.0 1.0 853.0 801.0 853.0 801.0 24.0 82.0 853.0 801.0 0.0 1.0 0.0
28 27 0.0 1.0 877.0 825.0 877.0 825.0 24.0 877.0 825.0 6.0 1.0 0.0
29 28 0.0 1.0 901.0 849.0 901.0 849.0 24.0 901.0 849.0 4.0 3.0 0.0
30 29 0.0 1.0 925.0 873.0 925.0 873.0 24.0 925.0 873.0 7.0 5.0 0.0
31 30 0.0 1.0 949.0 897.0 949.0 897.0 24.0 949.0 897.0 2.0 0.0
32 31 0.0 1.0 954.0 921.0 954.0 921.0 5.0 24.0 954.0 921.0 7.0 8.0 0.0
33 32 0.0 1.0 963.0 945.0 963.0 945.0 9.0 24.0 963.0 945.0 9.0 8.0 0.0
34 33 0.0 1.0 987.0 969.0 987.0 969.0 24.0 987.0 969.0 0.0 9.0 0.0
35 34 0.0 1.0 1011.0 993.0 1011.0 993.0 24.0 1011.0 993.0 8.0 5.0 0.0
36 35 0.0 1.0 1063.0 1017.0 1063.0 1017.0 52.0 24.0 1063.0 1017.0 5.0 6.0 0.0
37 36 6.0 0.0 0.0 1.0 1087.0 1069.0 1087.0 1069.0 24.0 52.0 1087.0 1069.0 6.0 0.0 0.0 0.0 0.0 0.004805730908022572 0.006237067599972664 0.018748469650745392 0.0017122285207733512 0.00025 0.0 0.00025 0.00025 0.014546898 0.0026244777000000003 0.019920666 0.011653074
38 37 37.0 6.0 0.0 1210.0 1093.0 1210.0 1093.0 123.0 24.0 1210.0 1093.0 1.0 5.0 2.0 0.0 2.0 0.0 0.0 0.00453646288106909 0.001763172389473766 0.006944863148852518 7.250054870583629e-05 0.018271220847964287 0.0018824617145583036 0.00047184174763970077 0.0016743753803893926 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.009499902 0.011866318999999998 0.00421711 0.00020488579 0.018604184 0.012277938 0.005083367 0.01166378
39 38 43.0 12.0 0.0 1234.0 1117.0 1234.0 1117.0 24.0 1234.0 1117.0 4.0 0.0 0.0 0.0 0.003181562235113233 0.006973939249292016 0.005720652311080746 0.012545481869191277 0.01597325317561626 0.03502574563026428 0.0005875613423995674 0.0012416692916303873 0.00025 0.0 0.00025 0.00025 0.0072174366 0.012250958999999999 0.0022525578 0.0047357758000000005 0.012199943000000001 0.022814982 0.0055087176 0.009773775
40 39 49.0 38.0 0.0 1258.0 1221.0 1258.0 1221.0 24.0 104.0 1258.0 1221.0 6.0 8.0 0.0 2.0 0.0 2.0 0.0 0.0030545921957430737 0.004956842465057539 0.0056324319507202025 0.011705366417868292 0.015648895874619484 0.051273562014102936 0.0004824912175536156 0.00029506091959774494 0.00025 0.0 0.00025 0.00025 0.006799991700000001 0.008285457 0.0022392564 0.005254878 0.011723962 0.028597743999999998 0.0050689327 0.0036231333000000003
41 40 67.0 44.0 0.0 1330.0 1245.0 1330.0 1245.0 72.0 24.0 1330.0 1245.0 4.0 5.0 2.0 0.0 2.0 0.0 0.0 0.007164927873721656 0.0006932815304026008 0.010410145146356093 9.017016236751764e-05 0.030907472595572468 0.0007864774088375269 0.00032723366166464984 0.000560163171030581 0.00025 0.0 0.00025 0.00025 0.008236017 0.0069048647 0.004853998 0.000995945 0.022601577999999997 0.008141493 0.0046788994 0.005059975
42 41 73.0 50.0 0.0 1354.0 1269.0 1354.0 1269.0 24.0 1354.0 1269.0 5.0 7.0 0.0 0.0 0.0 0.008538094494724644 0.0031852636796732745 0.011305856715965418 0.005430529147567568 0.030922237783670425 0.015327418223023416 0.0005500725819729269 0.0006316301296465099 0.00025 0.0 0.00025 0.00025 0.01141091 0.00836023 0.0051348140000000006 0.0019377798000000002 0.022078088 0.012307749 0.005279568 0.0063057009999999995
43 42 79.0 56.0 0.0 1378.0 1293.0 1378.0 1293.0 24.0 1378.0 1293.0 8.0 6.0 0.0 0.0 0.0 0.011256798480947813 0.008242118405178191 0.013948659007799624 0.011591018680771913 0.03131579980254173 0.030955130234360695 0.0013382682809606194 0.000520403147675097 0.00025 0.0 0.00025 0.00025 0.012217789 0.008808558000000001 0.0027733971000000004 0.0036028759 0.016314045 0.014939174 0.009939933 0.005694805600000001
44 43 81.0 74.0 0.0 1387.0 1365.0 1387.0 1365.0 9.0 72.0 1387.0 1365.0 2.0 0.0 0.0 1.0 0.0 1.0 0.0 0.001041217241436243 0.004005187627626583 4.361954052001238e-05 0.006178849113548304 0.0010848367819562554 0.015729648992419243 0.0009975977009162307 0.0003014476096723229 0.00025 0.0 0.00025 0.00025 0.009099709000000001 0.007806296999999999 0.00015480677 0.00221766 0.009254515999999999 0.011442187 0.008944903 0.0035692372
45 44 87.0 76.0 0.0 1411.0 1374.0 1411.0 1374.0 24.0 9.0 1411.0 1374.0 1.0 5.0 0.0 0.0 0.0 0.0034801047392344717 0.0004816773580387234 0.0056466465932676286 1.2535892892628908e-05 0.016104834154248238 0.0004942132509313524 0.000791234546341002 0.0004691414651460945 0.00025 0.0 0.00025 0.00025 0.009061362 0.003966491 0.0018620023999999999 7.8552985e-05 0.013011036 0.004045044 0.007135053000000001 0.003887938
46 45 91.0 89.0 0.0 1425.0 1426.0 1425.0 1426.0 14.0 52.0 1425.0 1426.0 6.0 1.0 0.0 1.0 0.0 1.0 0.0 0.004519143622019328 0.005855457236369451 0.006585247366957597 0.006986684101742854 0.015925049781799316 0.016112362965941433 0.000683511549141258 0.0008550579659640789 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.008312439 0.0090261465 0.0026095455999999998 0.0019677188 0.012825831999999999 0.012225928 0.0066099719999999995 0.006570001
47 46 97.0 95.0 0.0 1449.0 1450.0 1449.0 1450.0 24.0 1449.0 1450.0 3.0 8.0 0.0 0.0 0.0 0.008192792563932016 0.00390332966344431 0.0075793038338782485 0.006083590736481622 0.01616915501654148 0.016069727018475533 0.0005748618859797716 0.0007694005034863949 0.00025 0.0 0.00025 0.00025 0.008764888 0.0075646685 0.002849638 0.0023468505 0.013131302 0.012182789 0.005719640799999999 0.0058811125
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