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Trace tests update

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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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281
rl_coach/traces/Mujoco_NAF_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,Q/Mean,Q/Stdev,Q/Max,Q/Min,L/Mean,L/Stdev,L/Max,L/Min,Advantage/Mean,Advantage/Stdev,Advantage/Max,Advantage/Min,Action/Mean,Action/Stdev,Action/Max,Action/Min,V/Mean,V/Stdev,V/Max,V/Min,TD targets/Mean,TD targets/Stdev,TD targets/Max,TD targets/Min
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278,24615.0,0.0,5982.0,278.0,22.0,5982.0,0.02347088152231773,38.083842206931365,38.083842206931365,1.0,,,,0.21766415963118727,0.16518915730837005,0.8174054631963372,0.008034555241465569,0.0010000000000000005,4.336808689942018e-19,0.001,0.001,4.6255794,2.9967697,16.596804000000002,1.0018855,8.452831,2.3787944,11.279135,2.20733,0.12961863,0.39518267,1.614417,-1.3511659,0.0,0.0,-0.0,-0.0,0.8189899,0.33112085,0.999986,-0.18672195,8.452831,2.3787944,11.279135,2.20733,7.824263135419621,2.594542951101801,11.407530463552062,-0.6690623779118383
279,24725.0,0.0,6004.0,279.0,22.0,6004.0,0.013657421660206163,38.95417328199984,38.95417328199984,1.0,,,,0.16794761332090605,0.12836071378643868,0.6261330768465996,0.008222946897149086,0.0010000000000000005,4.336808689942018e-19,0.001,0.001,4.385148,3.359828,18.476053,0.97972715,8.662768,2.3480804,11.378121,2.0079919999999998,0.13581973,0.47479573,1.7953613000000002,-1.5015116000000002,0.0,0.0,-0.0,-0.0,0.88987863,0.19794801,0.9999872999999999,0.19540967,8.662768,2.3480804,11.378121,2.0079919999999998,7.82300427262381,2.5932452635496936,11.443612202475213,-1.1607234714743306
280,24830.0,0.0,6025.0,280.0,21.0,6025.0,-0.11030998553856647,36.933513383908405,36.933513383908405,0.0,,,,0.18460843887712275,0.12996935347314068,0.7471570186316967,0.02625323459506035,0.0010000000000000005,4.336808689942018e-19,0.001,0.001,4.303935500000001,2.5078638,13.813926,0.8200921,8.833388000000001,2.144002,11.44572,3.4159602999999996,0.10921351,0.30954054,1.2515916,-1.0730511999999999,0.0,0.0,-0.0,-0.0,0.8287822,0.30314365,0.99998075,-0.10841655,8.833388000000001,2.144002,11.44572,3.4159602999999996,7.868979214522778,2.6790201910425706,11.512720999049902,-1.1852546040513543
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 L/Mean L/Stdev L/Max L/Min Advantage/Mean Advantage/Stdev Advantage/Max Advantage/Min Action/Mean Action/Stdev Action/Max Action/Min V/Mean V/Stdev V/Max V/Min TD targets/Mean TD targets/Stdev TD targets/Max TD targets/Min
2 1 0.0 1.0 15.0 1.0 15.0 15.0 0.0 0.0
3 2 0.0 1.0 34.0 2.0 19.0 34.0 0.0 0.0
4 3 0.0 1.0 46.0 3.0 12.0 46.0 0.0 0.0
5 4 0.0 1.0 71.0 4.0 25.0 71.0 0.0 0.0
6 5 0.0 1.0 103.0 5.0 32.0 103.0 0.0 0.0
7 6 0.0 1.0 119.0 6.0 16.0 119.0 0.0 0.0
8 7 0.0 1.0 147.0 7.0 28.0 147.0 0.0 0.0
9 8 0.0 1.0 204.0 8.0 57.0 204.0 0.0 0.0
10 9 0.0 1.0 219.0 9.0 15.0 219.0 0.0 0.0
11 10 0.0 1.0 230.0 10.0 11.0 230.0 0.0 0.0
12 11 0.0 1.0 255.0 11.0 25.0 255.0 0.0 0.0
13 12 0.0 1.0 288.0 12.0 33.0 288.0 0.0 0.0
14 13 0.0 1.0 299.0 13.0 11.0 299.0 0.0 0.0
15 14 0.0 1.0 313.0 14.0 14.0 313.0 0.0 0.0
16 15 0.0 1.0 328.0 15.0 15.0 328.0 0.0 0.0
17 16 0.0 1.0 371.0 16.0 43.0 371.0 0.0 0.0
18 17 0.0 1.0 390.0 17.0 19.0 390.0 0.0 0.0
19 18 0.0 1.0 414.0 18.0 24.0 414.0 0.0 0.0
20 19 0.0 1.0 429.0 19.0 15.0 429.0 0.0 0.0
21 20 0.0 1.0 446.0 20.0 17.0 446.0 0.0 0.0
22 21 0.0 1.0 467.0 21.0 21.0 467.0 0.0 0.0
23 22 0.0 1.0 478.0 22.0 11.0 478.0 0.0 0.0
24 23 0.0 1.0 504.0 23.0 26.0 504.0 0.0 0.0
25 24 0.0 1.0 517.0 24.0 13.0 517.0 0.0 0.0
26 25 0.0 1.0 536.0 25.0 19.0 536.0 0.0 0.0
27 26 0.0 1.0 573.0 26.0 37.0 573.0 0.0 0.0
28 27 0.0 1.0 584.0 27.0 11.0 584.0 0.0 0.0
29 28 0.0 1.0 607.0 28.0 23.0 607.0 0.0 0.0
30 29 0.0 1.0 646.0 29.0 39.0 646.0 0.0 0.0
31 30 0.0 1.0 671.0 30.0 25.0 671.0 0.0 0.0
32 31 0.0 1.0 687.0 31.0 16.0 687.0 0.0 0.0
33 32 0.0 1.0 714.0 32.0 27.0 714.0 0.0 0.0
34 33 0.0 1.0 742.0 33.0 28.0 742.0 0.0 0.0
35 34 0.0 1.0 770.0 34.0 28.0 770.0 0.0 0.0
36 35 0.0 1.0 788.0 35.0 18.0 788.0 0.0 0.0
37 36 0.0 1.0 808.0 36.0 20.0 808.0 0.0 0.0
38 37 0.0 1.0 858.0 37.0 50.0 858.0 0.0 0.0
39 38 0.0 1.0 871.0 38.0 13.0 871.0 0.0 0.0
40 39 0.0 1.0 892.0 39.0 21.0 892.0 0.0 0.0
41 40 0.0 1.0 902.0 40.0 10.0 902.0 0.0 0.0
42 41 0.0 1.0 928.0 41.0 26.0 928.0 0.0 0.0
43 42 0.0 1.0 951.0 42.0 23.0 951.0 0.0 0.0
44 43 0.0 1.0 976.0 43.0 25.0 976.0 0.0 0.0
45 44 0.0 1.0 1009.0 44.0 33.0 1009.0 0.0 0.0
46 45 0.0 1.0 1022.0 45.0 13.0 1022.0 0.0 0.0
47 46 0.0 1.0 1058.0 46.0 36.0 1058.0 0.0 1.0
48 47 75.0 0.0 1074.0 47.0 16.0 1074.0 0.03789561163161001 16.577607058113063 16.577607058113063 1.0 0.8540831119567156 1.6146012278373478 8.76256239414215 0.031633805483579636 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 2.6474867000000004 5.5255237 45.712833 0.31053525 1.1216016000000002 0.51782316 1.9766134999999998 0.01532107 0.19443457 0.2754207 1.0046593000000001 -0.16803239999999997 0.0 0.0 -0.0 -0.0 0.058126986 0.36312783 0.84579015 -0.7727347 1.1216016000000002 0.51782316 1.9766134999999998 0.01532107 0.9001279895862752 0.43122607094394 2.4246531162399174 -0.5927555142806396
49 48 155.0 0.0 1090.0 48.0 16.0 1090.0 -0.04580146105676147 17.088912601736098 17.088912601736098 1.0 0.038968222180847084 0.02486835275461294 0.11837487295269965 0.005998675711452961 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.44659209999999994 0.25887817 1.6199883999999998 0.133326 1.4879016999999999 0.2572936 2.0578089 1.166339 0.13053255 0.19196877 0.6650474000000001 -0.1109861 0.0 0.0 -0.0 -0.0 0.14427382 0.35880938 0.8921041 -0.70510644 1.4879016999999999 0.2572936 2.0578089 1.166339 0.9077292081924307 0.4074733783407886 2.4397411280113577 -0.5927555142806396
50 49 285.0 0.0 1116.0 49.0 26.0 1116.0 -0.07513021395009728 36.628199591650564 36.628199591650564 1.0 0.028665890272420187 0.015820049207191666 0.06832310277968645 0.004584616050124168 0.001 0.0 0.001 0.001 0.46916828 0.24484527 1.0870913 0.094181605 1.7488141 0.39360526 2.6241262 1.1944661 0.104657814 0.18000554 0.48089899999999997 -0.25001162 0.0 0.0 -0.0 -0.0 0.19621137 0.40399298 0.95113593 -0.9399749 1.7488141 0.39360526 2.6241262 1.1944661 0.9373834576955414 0.4290949765187887 2.501465346290481 -0.5927555142806396
51 50 350.0 0.0 1129.0 50.0 13.0 1129.0 -0.02789639992786186 13.844440536337016 13.844440536337016 0.0 0.051360601072128 0.03061161181706897 0.14069381915032864 0.005059745628386736 0.001 0.0 0.001 0.001 0.8332681999999999 0.64660907 4.689482 0.14386791 1.7256335999999999 0.41807017 2.3677976000000003 1.1784207 0.08917686 0.25353953 0.7811401 -0.8690585 0.0 0.0 -0.0 -0.0 0.10976091 0.5074515 0.92915446 -0.89188564 1.7256335999999999 0.41807017 2.3677976000000003 1.1784207 0.9721377748484884 0.4500539056554256 3.1367266299568977 -0.5927555142806396
52 51 420.0 0.0 1143.0 51.0 14.0 1143.0 0.017338063311244722 16.685074072075587 16.685074072075587 1.0 0.04106143092337464 0.023495644546949798 0.11403202917426825 0.0059029459953308105 0.001 0.0 0.001 0.001 0.6060217 0.36712733 1.9415816000000004 0.11985664 1.9493401999999997 0.5732969 3.1450386000000004 1.1821176000000002 0.09752841 0.22624694 0.9035349 -0.36505258 0.0 0.0 -0.0 -0.0 0.26715952 0.55112284 0.94909745 -0.90287024 1.9493401999999997 0.5732969 3.1450386000000004 1.1821176000000002 0.9892720524196498 0.4489081359015966 3.145653214677509 -0.5927555142806396
53 52 495.0 0.0 1158.0 52.0 15.0 1158.0 -0.0016236730576975609 18.02358901897743 18.02358901897743 1.0 0.03937141195250054 0.02382653548321963 0.10747948754578827 0.004212350118905306 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.5614915 0.34710497 2.1351192 0.17173113 1.8318483 0.42405820000000005 2.4796287999999995 1.1459596 0.08704416 0.18304886 0.59262145 -0.3075946 0.0 0.0 -0.0 -0.0 0.28214759999999994 0.543615 0.91816676 -0.8653628000000001 1.8318483 0.42405820000000005 2.4796287999999995 1.1459596 1.0213209342513287 0.4812529420482631 3.1673254206024968 -0.5927555142806396
54 53 575.0 0.0 1174.0 53.0 16.0 1174.0 -0.005582878948131154 20.461795378597 20.461795378597 1.0 0.06713521191850305 0.048670428831190285 0.2646806221455336 0.006335198879241943 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.94577676 0.8241436 4.3954287 0.16574973 2.0544412 0.59750295 3.0652369999999998 1.1758332 0.07777548599999999 0.22453965 1.1367961000000002 -0.62813205 0.0 0.0 -0.0 -0.0 0.30277625 0.561371 0.9031549999999999 -0.8970370000000001 2.0544412 0.59750295 3.0652369999999998 1.1758332 1.0376107799389946 0.478657971965046 3.173950906022724 -0.5927555142806396
55 54 650.0 0.0 1189.0 54.0 15.0 1189.0 -0.07492933242554975 17.7035182596279 17.7035182596279 1.0 0.048115308241297804 0.036552045143918806 0.17439860478043556 0.004039286635816097 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.7084753 0.43073407 1.9935296000000002 0.16241816 1.9325728 0.5268622 2.9106326 1.1684309 0.1051202 0.23390113 1.0198033000000002 -0.48715878 0.0 0.0 -0.0 -0.0 0.26997045 0.5145390999999999 0.9267472999999999 -0.871202 1.9325728 0.5268622 2.9106326 1.1684309 1.0551637544748866 0.5173644691461377 3.1900923540436588 -0.5927555142806396
56 55 740.0 0.0 1207.0 55.0 18.0 1207.0 0.08418932674587802 23.949474704658684 23.949474704658684 0.0 0.054975091277932125 0.037233068957102634 0.14050208404660225 0.00548442779108882 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.80796677 0.6243539 3.171769 0.14655568 2.1721096 0.6554829000000001 3.2570226000000004 1.2095341999999998 0.09299554 0.26001856 1.0363691 -0.8890555 0.0 0.0 -0.0 -0.0 0.32050058 0.56914896 0.9546581000000001 -0.9182405999999999 2.1721096 0.6554829000000001 3.2570226000000004 1.2095341999999998 1.0997715709181617 0.5308697714150956 3.2032868885066463 -0.5927555142806396
57 56 825.0 0.0 1224.0 56.0 17.0 1224.0 -0.07395921307331997 21.96421580905557 21.96421580905557 1.0 0.05253710447098402 0.0384245329820159 0.16507110930979252 0.004559743218123914 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.73564684 0.49309453 2.8865792999999997 0.06796304 2.0901495999999997 0.62687385 3.169285 1.2155833 0.08697986 0.21167319 0.95076007 -0.46251655 0.0 0.0 -0.0 -0.0 0.28034359999999997 0.50410485 0.91017747 -0.9176128 2.0901495999999997 0.62687385 3.169285 1.2155833 1.1259598139680402 0.5581785565285166 3.2293578753140157 -0.5927555142806396
58 57 895.0 0.0 1238.0 57.0 14.0 1238.0 -0.04113767983609503 17.135733044697258 17.135733044697258 1.0 0.07935004297510855 0.062081926405161726 0.2828081040643156 0.011766964569687843 0.001 0.0 0.001 0.001 0.9580495000000001 0.8312318000000001 5.481578400000001 0.16289642 2.074621 0.56492144 3.367322 1.2489357 0.071930125 0.2507235 0.97707266 -0.8106882 0.0 0.0 -0.0 -0.0 0.31979513 0.5972071 0.94568306 -0.9008139999999999 2.074621 0.56492144 3.367322 1.2489357 1.1523997895887972 0.5633762675481253 3.336712416328752 -0.5927555142806396
59 58 970.0 0.0 1253.0 58.0 15.0 1253.0 0.008108889725843059 19.88137748554767 19.88137748554767 1.0 0.04105828430503607 0.030284063614791964 0.15661031752824786 0.002197022084146738 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.606196 0.44788232 1.9948276000000003 0.11274304 2.3446813 0.6833643 3.3245182 1.2307881 0.06810658 0.23922697 0.8672131999999999 -0.6024399 0.0 0.0 -0.0 -0.0 0.3398624 0.6001451 0.9675075000000001 -0.8730791999999999 2.3446813 0.6833643 3.3245182 1.2307881 1.1526584920222618 0.577483730085434 3.34214344970163 -0.5927555142806396
60 59 1040.0 0.0 1267.0 59.0 14.0 1267.0 -0.04775895264091636 17.546596464424578 17.546596464424578 1.0 0.03799174803841327 0.028968455576222824 0.14205787796527147 0.00568682700395584 0.001 0.0 0.001 0.001 0.6106752 0.57398003 3.7239456 0.07570954 2.2157169999999997 0.5864778 3.2856102 1.2688792 0.08007769999999999 0.23022771 0.9182323 -0.4789572 0.0 0.0 -0.0 -0.0 0.3794774 0.57018816 0.9675651 -0.83200455 2.2157169999999997 0.5864778 3.2856102 1.2688792 1.210425865133408 0.6004318551865281 3.3792796348280603 -0.555140058806631
61 60 1125.0 0.0 1284.0 60.0 17.0 1284.0 0.036248299568977634 23.448444061089354 23.448444061089354 0.0 0.060497980953796826 0.03996726849450361 0.15961005724966526 0.002707339357584715 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.91020864 0.6376783 3.1627650000000003 0.118597366 2.3368792999999997 0.74639237 3.4299104 1.2684309999999999 0.06623162 0.23451921 0.7471566 -0.6308279999999999 0.0 0.0 -0.0 -0.0 0.37305155 0.56690603 0.96259254 -0.8531443999999999 2.3368792999999997 0.74639237 3.4299104 1.2684309999999999 1.1889180744692007 0.601156489053433 3.3832300244517017 -0.5640845655449658
62 61 1200.0 0.0 1299.0 61.0 15.0 1299.0 0.036945012543138346 20.25062880645261 20.25062880645261 1.0 0.05755266365905602 0.04042011118455191 0.21226960141211748 0.006074812263250351 0.0010000000000000002 2.168404344971009e-19 0.001 0.001 0.76072127 0.63545275 2.9297025000000003 0.1240972 2.3029234 0.6702816 3.2854815000000004 1.3580368 0.08942527 0.2102639 0.9335789000000001 -0.46059123 0.0 0.0 -0.0 -0.0 0.33655265 0.59619546 0.9672056999999998 -0.8542063 2.3029234 0.6702816 3.2854815000000004 1.3580368 1.2248287361045316 0.6169358857241323 3.438590232004953 -0.5927555142806396
63 62 1270.0 0.0 1313.0 62.0 14.0 1313.0 -0.06514645859890247 16.913648834266265 16.913648834266265 1.0 0.05285553558995682 0.031996356070701615 0.13720941869542005 0.005883926525712013 0.001 0.0 0.001 0.001 0.7307026999999999 0.5233224 2.2456355 0.10470359 2.1167597999999996 0.52542174 2.916053 1.3667850000000001 0.07390544 0.23488237 0.82828647 -0.71224105 0.0 0.0 -0.0 -0.0 0.35027909999999995 0.6001559 0.9507085999999999 -0.84180623 2.1167597999999996 0.52542174 2.916053 1.3667850000000001 1.2506230658442563 0.6159865312513785 3.4395886574886565 -0.5927555142806396
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