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itaicaspi-intel
2018-09-12 15:29:42 +03:00
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commit fa4895f840
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rl_coach/traces/Atari_Dueling_DDQN_space_invaders/trace.csv
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@@ -1,26 +1,21 @@
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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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,,,,,,,,,,,,,,,,,,,
5,51.0,0.0,1260.0,1260.0,203.0,1260.0,0.9997990300000044,5.0,55.0,0.0,,,,0.011159177685519406,0.014670889632016437,0.05586982890963554,0.00014776474563404918,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,0.06980593,0.04550845,0.23672238,0.012701003,,,,
6,70.0,0.0,1335.0,1335.0,75.0,1335.0,0.999724780000006,2.0,15.0,0.0,,,,0.011363721369937258,0.01113743869358625,0.02980226650834084,0.00037189509021118283,0.0001,0.0,0.0001,0.0001,0.061391924,0.02929353,0.110355645,0.014809295,,,,
7,91.0,0.0,1422.0,1422.0,87.0,1422.0,0.9996386500000078,1.0,15.0,0.0,,,,0.011624419426966813,0.013655546794886331,0.04332234337925911,0.0002809247234836221,0.0001,1.3552527156068802e-20,0.0001,0.0001,0.065822564,0.03866646,0.16192491,0.021505926,,,,
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16,626.0,0.0,3560.0,3560.0,298.0,3560.0,0.9975220300000538,6.0,145.0,0.0,,,,0.00915405042571758,0.00990793648084188,0.038579311221838,0.0002719838812481612,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,0.055197,0.029597567,0.14903925,0.010181868,-0.011365135,0.013168923,0.013799908,-0.025668386
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19,1006.0,0.0,5081.0,5081.0,251.0,5081.0,0.9960162400000864,0.0,0.0,0.0,,,,0.011435095637646171,0.011009362492248348,0.04369494318962097,0.0002374518953729421,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,0.06413252,0.03206017,0.17680877,0.015071165,,,,
20,1062.0,0.0,5304.0,5304.0,223.0,5304.0,0.9957954700000912,6.0,105.0,0.0,,,,0.008425145343997948,0.010476737255273365,0.04278689250349999,0.0002318604965694249,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,0.05528172,0.033389688,0.16662869,0.013080816,0.02990371,0.01963076,0.059646500000000005,0.005463021
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22,1125.0,0.0,5556.0,5556.0,177.0,5556.0,0.9955459900000968,2.0,35.0,0.0,,,,0.007088124197418272,0.007553918383053855,0.02735380455851555,0.00016635317297186702,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,0.046250745999999995,0.027780753,0.12917177,0.009924813000000001,,,,
23,1169.0,0.0,5733.0,5733.0,177.0,5733.0,0.9953707600001004,3.0,30.0,0.0,,,,0.007776185804686975,0.009135069977912141,0.03013703227043152,0.0002250532270409167,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,0.051641665,0.030256712999999998,0.13535246,0.012026708,,,,
24,1190.0,0.0,5815.0,5815.0,82.0,5815.0,0.9952895800001024,1.0,5.0,0.0,,,,0.011108649816984931,0.010548835692936798,0.042301006615161896,0.00035882263910025364,0.0001,1.3552527156068802e-20,0.0001,0.0001,0.06612081,0.03200974,0.15909933,0.027230294,,,,
25,1212.0,0.0,5904.0,5904.0,89.0,5904.0,0.9952014700001042,1.0,10.0,0.0,,,,0.004195408909502227,0.007376560022200305,0.025709044188261032,0.00019116624025627968,0.0001,1.3552527156068802e-20,0.0001,0.0001,0.03334951,0.028961857999999997,0.10913753,0.008333857,,,,
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,Discounted Return/Mean,Discounted Return/Stdev,Discounted Return/Max,Discounted Return/Min,Q/Mean,Q/Stdev,Q/Max,Q/Min
1,0.0,1.0,486.0,486.0,486.0,486.0,1.0,,,0.0,,,,,,,,,,,,,,,,1.027285241237078,0.8961037725396955,3.502959469093688,0.0,,,,
2,0.0,1.0,573.0,573.0,87.0,573.0,1.0,,,0.0,,,,,,,,,,,,,,,,0.2991949731169189,0.4147830569909918,1.0,0.0,,,,
3,0.0,1.0,722.0,722.0,149.0,722.0,1.0,,,0.0,,,,,,,,,,,,,,,,1.089942054123867,0.6773639260883686,1.9560606270183023,0.0,,,,
4,0.0,1.0,1057.0,1057.0,335.0,1057.0,1.0,,,0.0,,,,,,,,,,,,,,,,1.6150170189100268,1.2171006279541683,4.3034191502088746,0.0,,,,
5,51.0,0.0,1260.0,1260.0,203.0,1260.0,0.9997990300000044,5.0,55.0,0.0,,,,0.01115525748330173,0.01482958817978088,0.05945311859250069,9.304942068411036e-05,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,0.06464555,0.044470195,0.23793462,0.007608571999999999,1.5742518458459676,1.1031375801910266,3.252515696371334,0.0,,,,
6,70.0,0.0,1335.0,1335.0,75.0,1335.0,0.999724780000006,2.0,15.0,0.0,,,,0.011412088440633131,0.011330222103483587,0.030992994084954262,0.00042172591201961035,0.0001,0.0,0.0001,0.0001,0.05938535599999999,0.02777386,0.11668128,0.020656634,0.630055465573955,0.7534012288320482,1.886384871716129,0.0,,,,
7,91.0,0.0,1422.0,1422.0,87.0,1422.0,0.9996386500000078,1.0,15.0,0.0,,,,0.011660500895231962,0.013899003705844034,0.04478336870670319,0.0002201012684963644,0.0001,1.3552527156068802e-20,0.0001,0.0001,0.06497177,0.03783021,0.16582458,0.011831452,0.2731692938539037,0.40901966584690697,1.0,0.0,,,,
8,159.0,0.0,1693.0,1693.0,271.0,1693.0,0.9993703600000136,5.0,55.0,0.0,,,,0.008784510728463516,0.010676103421827277,0.044153913855552666,0.00017267921066377312,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,0.052586783,0.03147318,0.16514115,0.01360802,1.3777471984624352,0.8115021837176055,3.11412900057984,0.0,,,,
9,201.0,0.0,1861.0,1861.0,168.0,1861.0,0.9992040400000172,3.0,50.0,0.0,,,,0.0057493484051693005,0.009297238709482698,0.04292438179254532,0.0001674733939580619,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,0.038713556,0.02916971,0.15294549,0.012743682,0.9971291228971556,0.7740837108535874,2.18976824447548,0.0,,,,
10,279.0,0.0,2172.0,2172.0,311.0,2172.0,0.998896150000024,4.0,65.0,0.0,,,,0.009585858937032008,0.012244045271861657,0.05662017315626144,8.848439028952271e-05,0.00010000000000000003,4.0657581468206416e-20,0.0001,0.0001,0.053857964,0.037834246,0.18018270000000003,0.0054985806000000005,1.0234306140936356,0.5002579938176909,2.1008995427938943,0.0,,,,
11,406.0,0.0,2681.0,2681.0,509.0,2681.0,0.9983922400000348,9.0,320.0,0.0,,,,0.008271162704208052,0.010108575283067541,0.04325417801737785,0.00013097573537379503,0.0001,1.3552527156068802e-20,0.0001,0.0001,0.051466412999999996,0.02947413,0.15955271,0.007228236,1.5487425802799972,0.9434112651663112,4.0430534797383535,0.0,0.010711596,0.012882838,0.024684543,-0.014303938
12,471.0,0.0,2941.0,2941.0,260.0,2941.0,0.9981348400000404,7.0,110.0,0.0,,,,0.009526190986910548,0.01270130936938865,0.0587114579975605,0.0002338076883461326,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,0.054751746,0.034732427,0.20657991,0.011495937,1.9247686125714616,1.4763974008694143,4.5174296147906645,0.0,,,,
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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 Discounted Return/Mean Discounted Return/Stdev Discounted Return/Max Discounted Return/Min Q/Mean Q/Stdev Q/Max Q/Min
2 1 0.0 1.0 486.0 486.0 486.0 486.0 1.0 0.0 1.027285241237078 0.8961037725396955 3.502959469093688 0.0
3 2 0.0 1.0 573.0 573.0 87.0 573.0 1.0 0.0 0.2991949731169189 0.4147830569909918 1.0 0.0
4 3 0.0 1.0 722.0 722.0 149.0 722.0 1.0 0.0 1.089942054123867 0.6773639260883686 1.9560606270183023 0.0
5 4 0.0 1.0 1057.0 1057.0 335.0 1057.0 1.0 0.0 1.6150170189100268 1.2171006279541683 4.3034191502088746 0.0
6 5 51.0 0.0 1260.0 1260.0 203.0 1260.0 0.9997990300000044 5.0 55.0 0.0 0.011159177685519406 0.01115525748330173 0.014670889632016437 0.01482958817978088 0.05586982890963554 0.05945311859250069 0.00014776474563404918 9.304942068411036e-05 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.06980593 0.06464555 0.04550845 0.044470195 0.23672238 0.23793462 0.012701003 0.007608571999999999 1.5742518458459676 1.1031375801910266 3.252515696371334 0.0
7 6 70.0 0.0 1335.0 1335.0 75.0 1335.0 0.999724780000006 2.0 15.0 0.0 0.011363721369937258 0.011412088440633131 0.01113743869358625 0.011330222103483587 0.02980226650834084 0.030992994084954262 0.00037189509021118283 0.00042172591201961035 0.0001 0.0 0.0001 0.0001 0.061391924 0.05938535599999999 0.02929353 0.02777386 0.110355645 0.11668128 0.014809295 0.020656634 0.630055465573955 0.7534012288320482 1.886384871716129 0.0
8 7 91.0 0.0 1422.0 1422.0 87.0 1422.0 0.9996386500000078 1.0 15.0 0.0 0.011624419426966813 0.011660500895231962 0.013655546794886331 0.013899003705844034 0.04332234337925911 0.04478336870670319 0.0002809247234836221 0.0002201012684963644 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.065822564 0.06497177 0.03866646 0.03783021 0.16192491 0.16582458 0.021505926 0.011831452 0.2731692938539037 0.40901966584690697 1.0 0.0
9 8 159.0 0.0 1693.0 1693.0 271.0 1693.0 0.9993703600000136 5.0 55.0 0.0 0.008774163406046885 0.008784510728463516 0.01056874345135505 0.010676103421827277 0.042830634862184525 0.044153913855552666 0.0001717623672448099 0.00017267921066377312 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.05377827 0.052586783 0.032895934 0.03147318 0.16196515 0.16514115 0.00941183 0.01360802 1.3777471984624352 0.8115021837176055 3.11412900057984 0.0
10 9 201.0 0.0 1861.0 1861.0 168.0 1861.0 0.9992040400000172 3.0 50.0 0.0 0.005785983745660079 0.0057493484051693005 0.00916921106544553 0.009297238709482698 0.04197276383638382 0.04292438179254532 0.00021147351071704182 0.0001674733939580619 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.04083436 0.038713556 0.028236978 0.02916971 0.14960715 0.15294549 0.012452139499999999 0.012743682 0.9971291228971556 0.7740837108535874 2.18976824447548 0.0
11 10 279.0 0.0 2172.0 2172.0 311.0 2172.0 0.998896150000024 4.0 65.0 0.0 0.009643888652461987 0.009585858937032008 0.012217253908083524 0.012244045271861657 0.056894369423389435 0.05662017315626144 0.00016667474119458348 8.848439028952271e-05 0.00010000000000000003 4.0657581468206416e-20 0.0001 0.0001 0.0560394 0.053857964 0.039682023 0.037834246 0.1913731 0.18018270000000003 0.008496345 0.0054985806000000005 1.0234306140936356 0.5002579938176909 2.1008995427938943 0.0
12 11 440.0 406.0 0.0 2815.0 2681.0 2815.0 2681.0 643.0 509.0 2815.0 2681.0 0.9982595800000378 0.9983922400000348 10.0 9.0 335.0 320.0 0.0 0.00861433394022231 0.008271162704208052 0.010348496102126023 0.010108575283067541 0.04432229697704315 0.04325417801737785 0.0001522430102340877 0.00013097573537379503 0.00010000000000000002 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.05220816 0.051466412999999996 0.03156275 0.02947413 0.16941099999999998 0.15955271 0.009055335999999999 0.007228236 1.5487425802799972 0.9434112651663112 4.0430534797383535 0.0 0.023975812000000003 0.010711596 0.012025122 0.012882838 0.040999293 0.024684543 0.0039341394 -0.014303938
13 12 458.0 471.0 0.0 2888.0 2941.0 2888.0 2941.0 73.0 260.0 2888.0 2941.0 0.9981873100000394 0.9981348400000404 2.0 7.0 45.0 110.0 0.0 0.009530787179957971 0.009526190986910548 0.010701133845478595 0.01270130936938865 0.03999783843755722 0.0587114579975605 0.00031216014758683736 0.0002338076883461326 0.0001 0.00010000000000000002 0.0 1.3552527156068802e-20 0.0001 0.0001 0.062311728 0.054751746 0.026771976 0.034732427 0.14921491 0.20657991 0.02184285 0.011495937 1.9247686125714616 1.4763974008694143 4.5174296147906645 0.0
14 13 478.0 506.0 0.0 2969.0 3082.0 2969.0 3082.0 81.0 141.0 2969.0 3082.0 0.9981071200000412 0.9979952500000436 0.0 0.0 0.0 0.006778308925277089 0.008103997894379844 0.00818221383451154 0.010146384256501963 0.02816874161362648 0.02888230979442596 0.0002485926379449665 0.00016939456691034138 0.0001 0.0 1.3552527156068802e-20 0.0001 0.0001 0.044908725 0.054213032 0.026523566000000002 0.03339996 0.117372274 0.123893134 0.016029207 0.00751579 0.0 0.0 0.0 0.0 -0.012888752 0.021964371 0.011372567 0.014109812 -0.0004688017 0.037105702000000004 -0.031455092000000004 -0.004680969
15 14 532.0 569.0 0.0 3183.0 3331.0 3183.0 3331.0 214.0 249.0 3183.0 3331.0 0.9978952600000456 0.9977487400000488 4.0 7.0 50.0 110.0 0.0 0.0069169835669863795 0.007924241924727892 0.009669208516406907 0.009418823926395129 0.030461043119430545 0.04199397563934326 0.0002085747983073816 0.00015404188889078796 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.047045134 0.04968934 0.03206875 0.028010858 0.123922676 0.16092885 0.010909475 0.010448261 2.0098751682981617 1.1093871734323564 4.000165956499947 0.0
16 15 551.0 655.0 0.0 3262.0 3677.0 3262.0 3677.0 79.0 346.0 3262.0 3677.0 0.9978170500000474 0.9974062000000564 2.0 0.0 15.0 0.0 0.0 0.008465479291963243 0.009106423050980084 0.01222064269286522 0.010111300667633431 0.04136095941066742 0.03859076648950577 0.00024427170865237713 0.00029026111587882037 0.0001 9.999999999999998e-05 0.0 2.7105054312137605e-20 0.0001 0.0001 0.051463115999999996 0.05579937 0.036649507000000005 0.029248272999999998 0.14754368 0.14688299999999999 0.013367546000000001 0.014692408 0.0 0.0 0.0 0.0 0.0037893213 0.013087699 0.021280576000000002 -0.02601921
17 16 626.0 674.0 0.0 3560.0 3753.0 3560.0 3753.0 298.0 76.0 3560.0 3753.0 0.9975220300000538 0.997330960000058 6.0 1.0 145.0 10.0 0.0 0.00915405042571758 0.005520004818160822 0.00990793648084188 0.006733671599695406 0.038579311221838 0.015792973339557648 0.0002719838812481612 0.00023233161482494327 0.00010000000000000003 0.0001 2.7105054312137605e-20 0.0 0.0001 0.0001 0.055197 0.038671996 0.029597567 0.022766063 0.14903925 0.07300336 0.010181868 0.007988145 0.42667230386804816 0.4209997414589432 1.0 0.0 -0.011365135 0.013168923 0.013799908 -0.025668386
18 17 916.0 723.0 0.0 4719.0 3948.0 4719.0 3948.0 1159.0 195.0 4719.0 3948.0 0.9963746200000788 0.997137910000062 22.0 0.0 340.0 0.0 0.0 0.00762058505652962 0.006315292267554097 0.009529140287309196 0.009919354506782935 0.04469184204936028 0.03862195461988449 0.00013019611651543528 0.000192232575500384 0.00010000000000000002 1.3552527156068802e-20 0.0001 0.0001 0.049977854 0.044760402000000005 0.031034742999999997 0.03878928 0.15861663 0.16543822 0.008030025 0.006780449 0.0 0.0 0.0 0.0 0.016384887 0.018671772 0.056820348 -0.0064531965
19 18 943.0 754.0 0.0 4830.0 4073.0 4830.0 4073.0 111.0 125.0 4830.0 4073.0 0.9962647300000812 0.9970141600000648 3.0 2.0 45.0 15.0 0.0 0.009809370868390907 0.005961802070810189 0.011517441918305206 0.007226799990202231 0.04567621275782585 0.025835121050477028 0.0002561989240348339 0.0001774366246536374 0.0001 9.999999999999996e-05 1.3552527156068802e-20 4.0657581468206416e-20 0.0001 0.0001 0.058472212 0.045393094 0.027904749 0.024198316 0.13957499 0.12546872 0.021250565 0.009217705 0.4379218073475659 0.6904045765467619 1.886384871716129 0.0 0.028437674 0.010936578999999998 0.04250892 0.011872215
20 19 1006.0 831.0 0.0 5081.0 4381.0 5081.0 4381.0 251.0 308.0 5081.0 4381.0 0.9960162400000864 0.9967092400000714 0.0 4.0 0.0 90.0 0.0 0.011435095637646171 0.006491211289842311 0.011009362492248348 0.00892109273291234 0.04369494318962097 0.038520261645317085 0.0002374518953729421 7.680161797907203e-05 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.06413252 0.046867255 0.03206017 0.03352056 0.17680877 0.15879646 0.015071165 0.0045105475 1.0691845626589795 0.8498240160885151 2.745451683091903 0.0
21 20 1062.0 933.0 0.0 5304.0 4789.0 5304.0 4789.0 223.0 408.0 5304.0 4789.0 0.9957954700000912 0.9963053200000802 6.0 5.0 105.0 35.0 0.0 0.008425145343997948 0.007263708718728237 0.010476737255273365 0.009710189245773595 0.04278689250349999 0.05345397442579269 0.0002318604965694249 0.0001070786820491776 0.00010000000000000002 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.05528172 0.046955697000000005 0.033389688 0.031957038 0.16662869 0.18837799 0.013080816 0.0063061723 0.9497113318517078 0.5665372653893023 1.841181516831549 0.0 0.02990371 0.049459755 0.01963076 0.012578323999999998 0.059646500000000005 0.07545762 0.005463021 0.038475648
21 1081.0 0.0 5379.0 5379.0 75.0 5379.0 0.9957212200000928 2.0 15.0 0.0 0.007715215652225245 0.010669677149893777 0.03837666660547257 0.00035348522942513233 0.0001 0.0 0.0001 0.0001 0.055993587000000004 0.030775022000000003 0.13761143 0.023046900000000002
22 1125.0 0.0 5556.0 5556.0 177.0 5556.0 0.9955459900000968 2.0 35.0 0.0 0.007088124197418272 0.007553918383053855 0.02735380455851555 0.00016635317297186702 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.046250745999999995 0.027780753 0.12917177 0.009924813000000001
23 1169.0 0.0 5733.0 5733.0 177.0 5733.0 0.9953707600001004 3.0 30.0 0.0 0.007776185804686975 0.009135069977912141 0.03013703227043152 0.0002250532270409167 0.00010000000000000003 2.7105054312137605e-20 0.0001 0.0001 0.051641665 0.030256712999999998 0.13535246 0.012026708
24 1190.0 0.0 5815.0 5815.0 82.0 5815.0 0.9952895800001024 1.0 5.0 0.0 0.011108649816984931 0.010548835692936798 0.042301006615161896 0.00035882263910025364 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.06612081 0.03200974 0.15909933 0.027230294
25 1212.0 0.0 5904.0 5904.0 89.0 5904.0 0.9952014700001042 1.0 10.0 0.0 0.004195408909502227 0.007376560022200305 0.025709044188261032 0.00019116624025627968 0.0001 1.3552527156068802e-20 0.0001 0.0001 0.03334951 0.028961857999999997 0.10913753 0.008333857