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Trace tests update

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This commit is contained in:
Shadi Endrawis
2018-08-20 13:01:17 +03:00
parent c1f428666e
commit 3abb6cd415
99 changed files with 12876 additions and 39 deletions
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rl_coach/traces/Mujoco_A3C_LSTM_hopper/trace.csv Normal file
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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
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264,288.0,0.0,32.0,1.0,32.0,5192.0,0.10000000000000002,2.482746279865317,49.65492559730633,0.0,,,,,,,,,,,,1.3929171999999999,0.20043570000000002,1.5933528000000001,1.1924814,,,,,0.6161877000943209,0.5473437954280784,1.7005047798156738,-0.6504038572311401,0.6955411,0.11815073,0.86444455,0.25348085,0.47804236,0.17902641,0.6570688,0.29901597,1.9893322,0.51882696,2.5081592,1.4705052
265,289.0,0.0,15.0,1.0,15.0,5207.0,0.10000000000000002,0.7473228461846044,14.946456923692088,0.0,,,,,,,,,,,,0.5067408,0.0,0.5067408,0.5067408,,,,,0.10949990650018056,0.4468526134041447,0.9353376030921936,-0.4817399680614472,0.49067152,0.14024223,0.627548,0.17415076,0.10583374,0.0,0.10583374,0.10583374,0.19247656,0.0,0.19247656,0.19247656
266,290.0,0.0,16.0,1.0,16.0,5223.0,0.10000000000000002,0.9705065926368962,19.410131852737926,0.0,,,,,,,,,,,,0.21059157,0.0,0.21059157,0.21059157,,,,,-0.00846358338991801,0.2574605302266558,0.5776309967041016,-0.2283314019441605,0.38759598,0.11527029,0.532362,0.11979626,0.03317878,0.0,0.03317878,0.03317878,-0.13625576,0.0,-0.13625576,-0.13625576
267,291.0,0.0,15.0,1.0,15.0,5238.0,0.10000000000000002,0.7027217673481955,14.054435346963912,0.0,,,,,,,,,,,,0.47117648,0.0,0.47117648,0.47117648,,,,,0.14166940934956074,0.3413736427581455,0.7722140550613403,-0.40134239196777344,0.3924267,0.10863769999999999,0.49021843,0.12177706,0.06830309,0.0,0.06830309,0.06830309,0.59007734,0.0,0.59007734,0.59007734
268,293.0,0.0,31.0,1.0,31.0,5269.0,0.10000000000000002,2.283561411061196,45.67122822122393,0.0,,,,,,,,,,,,0.5721454,0.2987468,0.87089217,0.2733986,,,,,0.3622553297451565,0.3388917874978052,0.9563581943511964,-0.1905052959918976,0.5029945,0.21342725,0.72233784,0.12028699,0.19214907,0.16533802,0.35748709999999995,0.026811047,1.2902155,0.70583975,1.9960552,0.58437574
269,296.0,0.0,43.0,1.0,43.0,5312.0,0.10000000000000002,3.716664921371358,74.33329842742717,0.0,,,,,,,,,,,,1.1400665,0.83755827,2.2973166000000003,0.34272942,,,,,0.6295371108195361,0.5770810802490037,2.0564074516296387,-0.5133648514747621,0.7260246,0.3080932,1.1788251,0.06897014,0.4744538,0.41342947,1.0553066,0.12620477,1.5835075,0.9807709000000001,2.808307,0.40739945
270,299.0,0.0,48.0,1.0,48.0,5360.0,0.10000000000000002,3.9720427619434147,79.44085523886827,0.0,,,,,,,,,,,,1.3424392,0.8707958,2.3894558,0.25746393,,,,,0.7231142385754474,0.43389171894700856,1.4634573459625244,-0.09572654962539673,0.8059166,0.20783971,1.0665878,0.09577175,0.45565054,0.34738466,0.8552236999999999,0.008335907,2.0006310000000003,1.4631473999999998,3.793404,0.20944048
271,300.0,0.0,15.0,1.0,15.0,5375.0,0.10000000000000002,0.6959671576493036,13.919343152986071,0.0,,,,,,,,,,,,0.6477495,0.0,0.6477495,0.6477495,,,,,-0.0497877448797226,0.340375262485017,0.5400193929672241,-0.4626357555389404,0.43158987,0.14828089,0.5671826999999999,0.14614223,0.05916707,0.0,0.05916707,0.05916707,-0.08325451,0.0,-0.08325451,-0.08325451
272,302.0,0.0,35.0,1.0,35.0,5410.0,0.10000000000000002,2.7021611455095305,54.0432229101906,0.0,,,,,,,,,,,,0.7167121999999999,0.44725758,1.1639698,0.2694546,,,,,0.3655963297401156,0.4544766482114629,1.0343155860900881,-0.32816866040229803,0.623853,0.21607892,0.8709919,0.12585014,0.27697957,0.24122016,0.51819974,0.0357594,1.0865326000000002,1.0527806,2.1393132,0.03375206
273,303.0,0.0,18.0,1.0,18.0,5428.0,0.10000000000000002,1.0443054837459271,20.886109674918547,0.0,,,,,,,,,,,,0.629424,0.0,0.629424,0.629424,,,,,0.2712044099966685,0.5340991715291875,1.1906348466873171,-0.5137592554092407,0.4575153,0.17176789999999997,0.65242606,0.094867416,0.17940688,0.0,0.17940688,0.17940688,0.74422777,0.0,0.74422777,0.74422777
274,304.0,0.0,10.0,1.0,10.0,5438.0,0.10000000000000002,0.4348685604789131,8.697371209578263,0.0,,,,,,,,,,,,0.37166524,0.0,0.37166524,0.37166524,,,,,0.12345476200183232,0.33285291678643164,0.8279199004173279,-0.3326966762542725,0.42510690000000007,0.12008656,0.5825016,0.12719566,0.06301608,0.0,0.06301608,0.06301608,0.52994794,0.0,0.52994794,0.52994794
275,306.0,0.0,29.0,1.0,29.0,5467.0,0.10000000000000002,2.078599526997992,41.57199053995985,0.0,,,,,,,,,,,,0.7602057,0.5001488000000001,1.2603544,0.26005694,,,,,0.4250395814577738,0.4190604132107391,0.9815008640289308,-0.3431753516197205,0.60735303,0.21878047,0.8292493000000001,0.12693714,0.25193724,0.22975279999999998,0.48169005,0.022184457999999997,1.1301912,1.2917577,2.421949,-0.16156654
276,308.0,0.0,30.0,1.0,30.0,5497.0,0.10000000000000002,2.0272975576555394,40.54595115311079,0.0,,,,,,,,,,,,0.6747310000000001,0.21505992,0.88979095,0.45967109999999994,,,,,0.40620496046954185,0.34396476177842306,0.7581955790519714,-0.4510785937309265,0.5442081999999999,0.14058310000000002,0.7405841,0.15966882,0.19477529999999998,0.13206385,0.32683915,0.06271145,1.0045475,0.7696314000000001,1.7741789000000001,0.23491610000000002
277,312.0,0.0,70.0,1.0,70.0,5567.0,0.10000000000000002,7.171859017455622,143.43718034911242,0.0,,,,,,,,,,,,1.8025208,0.77927345,2.752591,0.7811794,,,,,0.8364718654326031,0.5732430043762371,1.8496172428131104,-0.6777095794677734,0.82412094,0.16027212,1.0206851000000001,0.13193629999999998,0.719784,0.35882458,1.0387708,0.11335748400000001,2.2533996,1.3789917999999999,3.2821178,-0.10737562
278,313.0,0.0,10.0,1.0,10.0,5577.0,0.10000000000000002,0.4560631757446939,9.121263514893878,0.0,,,,,,,,,,,,2.1474472999999996,0.0,2.1474472999999996,2.1474472999999996,,,,,0.031153565645217894,0.6747092004211628,1.2208356857299805,-0.9496926069259644,0.8450235,0.24704571,1.1210002000000001,0.31987384,0.22810154,0.0,0.22810154,0.22810154,-0.28289240000000004,0.0,-0.28289240000000004,-0.28289240000000004
279,315.0,0.0,35.0,1.0,35.0,5612.0,0.10000000000000002,2.6675511826107146,53.351023652214266,0.0,,,,,,,,,,,,0.9097936,0.21056679,1.1203604,0.6992268,,,,,0.4288371796409289,0.447476356144444,1.0127742290496826,-0.3948252499103546,0.59176797,0.18898097,0.8047344,0.13179179,0.26028836,0.22865349,0.48894185,0.03163487,0.9365338,1.310289,2.2468228,-0.37375516
280,317.0,0.0,37.0,1.0,37.0,5649.0,0.10000000000000002,2.2095321543622184,44.19064308724437,0.0,,,,,,,,,,,,0.5827281,0.021677553999999998,0.60440564,0.56105053,,,,,0.26915144494601656,0.3584584324189194,1.1149436235427856,-0.5920053124427795,0.6258095,0.15006424,0.78434724,0.1597914,0.154289,0.0063482374,0.16063724,0.14794077,0.697543,0.16194925,0.8594923000000001,0.5355938
281,321.0,0.0,62.0,1.0,62.0,5711.0,0.10000000000000002,5.76723733462965,115.34474669259292,0.0,,,,,,,,,,,,1.4903355,0.65460485,2.2131383,0.5650321999999999,,,,,0.7311275133064815,0.5699351070151122,1.9044923782348635,-0.5565869808197021,0.8062406999999999,0.23991679999999996,1.1580986999999998,0.0475682,0.65033466,0.29751350000000004,0.9043392,0.16019264,2.113412,0.9916045,3.0089612,0.43466818
282,325.0,0.0,71.0,1.0,71.0,5782.0,0.10000000000000002,7.354030945921425,147.08061891842848,0.0,,,,,,,,,,,,1.6866119,1.1470281999999998,3.3933506,0.37363043,,,,,0.8955154248302982,0.5725376077624694,2.076648235321045,-0.2487485408782959,0.88601434,0.22821346,1.2260137,0.21603256,0.69950205,0.51849204,1.4222363,0.015470532,2.185277,1.6556221000000002,4.2885222,-0.23016675
283,326.0,0.0,13.0,1.0,13.0,5795.0,0.10000000000000002,0.7303079965627123,14.606159931254243,0.0,,,,,,,,,,,,1.5636482,0.0,1.5636482,1.5636482,,,,,0.02376902645284479,0.6941218144942123,1.2654176950454712,-1.0135221481323242,0.8875281999999999,0.2728406,1.1896394,0.29035094,0.24118504,0.0,0.24118504,0.24118504,0.036237326,0.0,0.036237326,0.036237326
284,327.0,0.0,15.0,1.0,15.0,5810.0,0.10000000000000002,0.8019156433658499,16.038312867316996,0.0,,,,,,,,,,,,0.5709736,0.0,0.5709736,0.5709736,,,,,-0.031865323965366066,0.3209074071243956,0.547707200050354,-0.5080950856208801,0.442478,0.14595474,0.58955973,0.13605882,0.05199848,0.0,0.05199848,0.05199848,0.03273366,0.0,0.03273366,0.03273366
285,328.0,0.0,15.0,1.0,15.0,5825.0,0.10000000000000002,0.958615693082999,19.17231386165998,0.0,,,,,,,,,,,,0.3695672,0.0,0.3695672,0.3695672,,,,,-0.03601526618003845,0.29542482126958663,0.6077682971954346,-0.33510154485702515,0.46229246,0.13176897,0.6144487,0.13766012,0.044286463,0.0,0.044286463,0.044286463,-0.16888689,0.0,-0.16888689,-0.16888689
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
2 1 0.0 1.0 17.0 1.0 17.0 17.0 0.10000000000000002 0.0
3 2 0.0 1.0 23.0 1.0 23.0 40.0 0.10000000000000002 0.0
4 3 0.0 1.0 15.0 1.0 15.0 55.0 0.10000000000000002 0.0
5 4 0.0 1.0 17.0 1.0 17.0 72.0 0.10000000000000002 0.0
6 5 0.0 1.0 9.0 1.0 9.0 81.0 0.10000000000000002 0.0
7 6 0.0 1.0 21.0 1.0 21.0 102.0 0.10000000000000002 0.0
8 7 0.0 1.0 22.0 1.0 22.0 124.0 0.10000000000000002 0.0
9 8 0.0 1.0 14.0 1.0 14.0 138.0 0.10000000000000002 0.0
10 9 0.0 1.0 19.0 1.0 19.0 157.0 0.10000000000000002 0.0
11 10 0.0 1.0 31.0 1.0 31.0 188.0 0.10000000000000002 0.0
12 11 0.0 1.0 13.0 1.0 13.0 201.0 0.10000000000000002 0.0
13 12 0.0 1.0 11.0 1.0 11.0 212.0 0.10000000000000002 0.0
14 13 0.0 1.0 33.0 1.0 33.0 245.0 0.10000000000000002 0.0
15 14 0.0 1.0 10.0 1.0 10.0 255.0 0.10000000000000002 0.0
16 15 0.0 1.0 25.0 1.0 25.0 280.0 0.10000000000000002 0.0
17 16 0.0 1.0 26.0 1.0 26.0 306.0 0.10000000000000002 0.0
18 17 0.0 1.0 11.0 1.0 11.0 317.0 0.10000000000000002 0.0
19 18 0.0 1.0 24.0 1.0 24.0 341.0 0.10000000000000002 0.0
20 19 0.0 1.0 11.0 1.0 11.0 352.0 0.10000000000000002 0.0
21 20 0.0 1.0 24.0 1.0 24.0 376.0 0.10000000000000002 0.0
22 21 0.0 1.0 15.0 1.0 15.0 391.0 0.10000000000000002 0.0
23 22 0.0 1.0 41.0 1.0 41.0 432.0 0.10000000000000002 0.0
24 23 0.0 1.0 23.0 1.0 23.0 455.0 0.10000000000000002 0.0
25 24 0.0 1.0 24.0 1.0 24.0 479.0 0.10000000000000002 0.0
26 25 0.0 1.0 50.0 1.0 50.0 529.0 0.10000000000000002 0.0
27 26 0.0 1.0 16.0 1.0 16.0 545.0 0.10000000000000002 0.0
28 27 0.0 1.0 18.0 1.0 18.0 563.0 0.10000000000000002 0.0
29 28 0.0 1.0 21.0 1.0 21.0 584.0 0.10000000000000002 0.0
30 29 0.0 1.0 19.0 1.0 19.0 603.0 0.10000000000000002 0.0
31 30 0.0 1.0 23.0 1.0 23.0 626.0 0.10000000000000002 0.0
32 31 0.0 1.0 22.0 1.0 22.0 648.0 0.10000000000000002 0.0
33 32 0.0 1.0 13.0 1.0 13.0 661.0 0.10000000000000002 0.0
34 33 0.0 1.0 14.0 1.0 14.0 675.0 0.10000000000000002 0.0
35 34 0.0 1.0 20.0 1.0 20.0 695.0 0.10000000000000002 0.0
36 35 0.0 1.0 8.0 1.0 8.0 703.0 0.10000000000000002 0.0
37 36 0.0 1.0 18.0 1.0 18.0 721.0 0.10000000000000002 0.0
38 37 0.0 1.0 14.0 1.0 14.0 735.0 0.10000000000000002 0.0
39 38 0.0 1.0 11.0 1.0 11.0 746.0 0.10000000000000002 0.0
40 39 0.0 1.0 48.0 1.0 48.0 794.0 0.10000000000000002 0.0
41 40 0.0 1.0 22.0 1.0 22.0 816.0 0.10000000000000002 0.0
42 41 0.0 1.0 21.0 1.0 21.0 837.0 0.10000000000000002 0.0
43 42 0.0 1.0 16.0 1.0 16.0 853.0 0.10000000000000002 0.0
44 43 0.0 1.0 16.0 1.0 16.0 869.0 0.10000000000000002 0.0
45 44 0.0 1.0 16.0 1.0 16.0 885.0 0.10000000000000002 0.0
46 45 0.0 1.0 29.0 1.0 29.0 914.0 0.10000000000000002 0.0
47 46 0.0 1.0 31.0 1.0 31.0 945.0 0.10000000000000002 0.0
48 47 0.0 1.0 13.0 1.0 13.0 958.0 0.10000000000000002 0.0
49 48 0.0 1.0 30.0 1.0 30.0 988.0 0.10000000000000002 0.0
50 49 0.0 1.0 16.0 1.0 16.0 1004.0 0.10000000000000002 0.0
51 50 0.0 1.0 28.0 1.0 28.0 1032.0 0.10000000000000002 0.0
52 51 1.0 0.0 12.0 1.0 12.0 1044.0 0.10000000000000002 0.5528018726885477 11.056037453770957 0.0 0.85716254 0.0 0.85716254 0.85716254 0.6799470553440707 0.35095102322710625 1.227898359298706 0.15324977040290833 -0.03212701 0.025359512999999997 -0.0029592384000000005 -0.11787407 0.2946509 0.0 0.2946509 0.2946509 1.9936936 0.0 1.9936936 1.9936936
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