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Code Issues Projects Releases Wiki Activity

new traces

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itaicaspi-intel
2018-09-12 15:29:42 +03:00
parent 673911ff7f
commit fa4895f840
76 changed files with 12786 additions and 12606 deletions
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rl_coach/traces/Mujoco_A3C_hopper/trace.csv
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@@ -1,256 +1,256 @@
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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218,167.0,0.0,19.0,1.0,19.0,4835.0,0.10000000000000002,0.7709678341813018,15.419356683626036,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
219,168.0,0.0,13.0,1.0,13.0,4848.0,0.10000000000000002,0.5189041385504856,10.37808277100971,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
220,169.0,0.0,15.0,1.0,15.0,4863.0,0.10000000000000002,0.6659737608108036,13.319475216216071,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
221,170.0,0.0,26.0,1.0,26.0,4889.0,0.10000000000000002,1.4534705209825116,29.06941041965023,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
222,171.0,0.0,15.0,1.0,15.0,4904.0,0.10000000000000002,0.6195043290278429,12.390086580556858,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
223,172.0,0.0,61.0,1.0,61.0,4965.0,0.10000000000000002,3.91567130620012,78.31342612400246,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
224,173.0,0.0,19.0,1.0,19.0,4984.0,0.10000000000000002,0.6564826082499138,13.129652164998276,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
225,174.0,0.0,69.0,1.0,69.0,5053.0,0.10000000000000002,4.523085459133274,90.46170918266544,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
226,175.0,0.0,17.0,1.0,17.0,5070.0,0.10000000000000002,0.8066091054229676,16.132182108459357,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
227,176.0,0.0,28.0,1.0,28.0,5098.0,0.10000000000000002,0.8882146054688719,17.76429210937744,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
228,177.0,0.0,33.0,1.0,33.0,5131.0,0.10000000000000002,1.6256566811569482,32.513133623138955,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
229,178.0,0.0,26.0,1.0,26.0,5157.0,0.10000000000000002,0.8956786213695598,17.913572427391202,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
230,179.0,0.0,75.0,1.0,75.0,5232.0,0.10000000000000002,4.5110929959889035,90.22185991977804,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
231,180.0,0.0,52.0,1.0,52.0,5284.0,0.10000000000000002,3.4347189050901017,68.69437810180203,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
232,181.0,0.0,23.0,1.0,23.0,5307.0,0.10000000000000002,1.0349519636804547,20.699039273609106,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
233,182.0,0.0,17.0,1.0,17.0,5324.0,0.10000000000000002,0.5334670594739863,10.669341189479724,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
234,183.0,0.0,9.0,1.0,9.0,5333.0,0.10000000000000002,0.3558557935782046,7.117115871564093,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
235,184.0,0.0,69.0,1.0,69.0,5402.0,0.10000000000000002,4.748837100494492,94.97674200988982,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
236,185.0,0.0,30.0,1.0,30.0,5432.0,0.10000000000000002,1.9952529334140467,39.90505866828094,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
237,186.0,0.0,15.0,1.0,15.0,5447.0,0.10000000000000002,0.7499920866804244,14.999841733608491,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
238,187.0,0.0,15.0,1.0,15.0,5462.0,0.10000000000000002,0.4724036860473234,9.448073720946468,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
239,188.0,0.0,24.0,1.0,24.0,5486.0,0.10000000000000002,1.0410645511489924,20.82129102297984,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
240,189.0,0.0,52.0,1.0,52.0,5538.0,0.10000000000000002,3.9048029932404233,78.09605986480845,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
241,190.0,0.0,19.0,1.0,19.0,5557.0,0.10000000000000002,0.5198037415711714,10.396074831423432,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
242,191.0,0.0,51.0,1.0,51.0,5608.0,0.10000000000000002,4.5793677476303,91.58735495260595,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
243,192.0,0.0,16.0,1.0,16.0,5624.0,0.10000000000000002,0.5162723630185547,10.325447260371094,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
244,193.0,0.0,22.0,1.0,22.0,5646.0,0.10000000000000002,0.8287648794258466,16.575297588516936,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
245,194.0,0.0,23.0,1.0,23.0,5669.0,0.10000000000000002,0.7276586279019428,14.553172558038852,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
246,195.0,0.0,21.0,1.0,21.0,5690.0,0.10000000000000002,1.052134020375725,21.042680407514503,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
247,196.0,0.0,19.0,1.0,19.0,5709.0,0.10000000000000002,0.7157136420874037,14.314272841748073,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
248,197.0,0.0,28.0,1.0,28.0,5737.0,0.10000000000000002,0.9778279362575854,19.556558725151703,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
249,198.0,0.0,21.0,1.0,21.0,5758.0,0.10000000000000002,0.3680959724078439,7.361919448156878,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
250,199.0,0.0,24.0,1.0,24.0,5782.0,0.10000000000000002,1.262293958548161,25.24587917096321,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
251,200.0,0.0,26.0,1.0,26.0,5808.0,0.10000000000000002,0.4849962735219826,9.699925470439652,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
252,201.0,0.0,15.0,1.0,15.0,5823.0,0.10000000000000002,0.4100412047809676,8.20082409561935,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
253,202.0,0.0,22.0,1.0,22.0,5845.0,0.10000000000000002,1.2776708650219917,25.55341730043983,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
254,203.0,0.0,37.0,1.0,37.0,5882.0,0.10000000000000002,3.1290759757258053,62.5815195145161,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
255,204.0,0.0,25.0,1.0,25.0,5907.0,0.10000000000000002,1.2560199968306776,25.12039993661356,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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,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
1,0.0,1.0,14.0,1.0,14.0,14.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.2456291198296514,0.1485720227336834,0.4942178178295216,0.02284679373615421,,,,,,,,,,,,,,,,,,,,
2,0.0,1.0,20.0,1.0,20.0,34.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.17600218405849968,0.17409081435461718,0.5197994032058006,-0.0013057342519407404,,,,,,,,,,,,,,,,,,,,
3,0.0,1.0,18.0,1.0,18.0,52.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.3306560805889505,0.20727530047762036,0.6690173118678339,0.02046607885612641,,,,,,,,,,,,,,,,,,,,
4,0.0,1.0,24.0,1.0,24.0,76.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.2794267527892386,0.17314713201760915,0.6310889301816526,0.01839389127480678,,,,,,,,,,,,,,,,,,,,
5,0.0,1.0,18.0,1.0,18.0,94.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4371489414088806,0.2272134430182501,0.8046543104848425,0.04258113345091402,,,,,,,,,,,,,,,,,,,,
6,0.0,1.0,33.0,1.0,33.0,127.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.08744374926442819,0.13314589536990595,0.4585844317993215,-0.006954643330674745,,,,,,,,,,,,,,,,,,,,
7,0.0,1.0,16.0,1.0,16.0,143.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.3330372995131608,0.1870320161273056,0.6424935755666001,0.036330000012605015,,,,,,,,,,,,,,,,,,,,
8,0.0,1.0,20.0,1.0,20.0,163.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.3071536592977029,0.18702153048619066,0.6524772333501697,0.03093463527634384,,,,,,,,,,,,,,,,,,,,
9,0.0,1.0,11.0,1.0,11.0,174.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.15209532704229353,0.11694816375916894,0.3588654157463031,0.006899891867214185,,,,,,,,,,,,,,,,,,,,
10,0.0,1.0,20.0,1.0,20.0,194.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.3544414856105883,0.2445730419413569,0.7745051170907518,0.0119993835683613,,,,,,,,,,,,,,,,,,,,
11,0.0,1.0,18.0,1.0,18.0,212.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.1951491448835768,0.1807795122921884,0.5335388921474492,-0.0034241770032252352,,,,,,,,,,,,,,,,,,,,
12,0.0,1.0,13.0,1.0,13.0,225.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.2599258970553296,0.1467084225016422,0.5102047319372071,0.03738723434414621,,,,,,,,,,,,,,,,,,,,
13,0.0,1.0,27.0,1.0,27.0,252.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4181475784047955,0.2205051580815296,0.8377334597798765,0.03571197292551182,,,,,,,,,,,,,,,,,,,,
14,0.0,1.0,21.0,1.0,21.0,273.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4265401073220592,0.2230316053113296,0.798616690336875,0.03986461826018843,,,,,,,,,,,,,,,,,,,,
15,0.0,1.0,22.0,1.0,22.0,295.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.6380484364272989,0.31252936457819985,1.1106840871886152,0.060169344651217586,,,,,,,,,,,,,,,,,,,,
16,0.0,1.0,18.0,1.0,18.0,313.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.46050961595351003,0.24924018305579315,0.8464593174120876,0.04240144220638645,,,,,,,,,,,,,,,,,,,,
17,0.0,1.0,10.0,1.0,10.0,323.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.21181613228030827,0.10750303068486068,0.3864853029845265,0.044371263706323986,,,,,,,,,,,,,,,,,,,,
18,0.0,1.0,15.0,1.0,15.0,338.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.1819469923800748,0.13299845008736072,0.43207177335632097,0.01171213223468804,,,,,,,,,,,,,,,,,,,,
19,0.0,1.0,21.0,1.0,21.0,359.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.11972402306853948,0.1535317951048719,0.4430585229663941,-0.02995856962102635,,,,,,,,,,,,,,,,,,,,
20,0.0,1.0,40.0,1.0,40.0,399.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.8665050461585512,0.4694254131283197,1.6191182536260142,0.047608549442357186,,,,,,,,,,,,,,,,,,,,
21,0.0,1.0,26.0,1.0,26.0,425.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.35484352657594503,0.24695659556159366,0.8077850637054096,0.010591432351947056,,,,,,,,,,,,,,,,,,,,
22,0.0,1.0,25.0,1.0,25.0,450.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.5717334883365771,0.3247695659945097,1.0871034403198,0.0305737487997779,,,,,,,,,,,,,,,,,,,,
23,0.0,1.0,17.0,1.0,17.0,467.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.16024670915543993,0.13873232725261425,0.4303334053963367,0.00034311260725337385,,,,,,,,,,,,,,,,,,,,
24,0.0,1.0,36.0,1.0,36.0,503.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.6678228922349178,0.3879524702479107,1.2718829921062391,0.018898239487454116,,,,,,,,,,,,,,,,,,,,
25,0.0,1.0,22.0,1.0,22.0,525.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.22470012144620166,0.1937801611685395,0.6060880243168881,0.008739569473694756,,,,,,,,,,,,,,,,,,,,
26,0.0,1.0,18.0,1.0,18.0,543.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.11305762902493913,0.14319467785221435,0.4129293428013665,-0.01386056460605452,,,,,,,,,,,,,,,,,,,,
27,0.0,1.0,23.0,1.0,23.0,566.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4527480390220098,0.2575068683678474,0.875136217908634,0.03148685914013958,,,,,,,,,,,,,,,,,,,,
28,0.0,1.0,25.0,1.0,25.0,591.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.5179090245393764,0.2874082287613444,0.9980968162728866,0.031054081282801512,,,,,,,,,,,,,,,,,,,,
29,0.0,1.0,23.0,1.0,23.0,614.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,-0.03496185623301666,0.12305802451532034,0.2588347923297942,-0.16144407277041084,,,,,,,,,,,,,,,,,,,,
30,0.0,1.0,16.0,1.0,16.0,630.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4380726094228039,0.20862058518781698,0.7674469713682945,0.06752246401151173,,,,,,,,,,,,,,,,,,,,
31,0.0,1.0,27.0,1.0,27.0,657.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.08358617733709058,0.16217994994885002,0.4485251911269297,-0.058729089774254124,,,,,,,,,,,,,,,,,,,,
32,0.0,1.0,29.0,1.0,29.0,686.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.8351887539597613,0.4193669008819579,1.4506380993129928,0.06861275049796038,,,,,,,,,,,,,,,,,,,,
33,0.0,1.0,16.0,1.0,16.0,702.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.31482703991677524,0.18316606488765827,0.6285685183941564,0.03270970777908668,,,,,,,,,,,,,,,,,,,,
34,0.0,1.0,11.0,1.0,11.0,713.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.20451650680378408,0.11600832066982365,0.4033505515750176,0.034077123345230914,,,,,,,,,,,,,,,,,,,,
35,0.0,1.0,19.0,1.0,19.0,732.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.19313964886904134,0.17463934860123645,0.5227471408274542,-0.0021392910148284967,,,,,,,,,,,,,,,,,,,,
36,0.0,1.0,18.0,1.0,18.0,750.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.3530218584036669,0.2080396964420637,0.6968781847577575,0.0322860881138015,,,,,,,,,,,,,,,,,,,,
37,0.0,1.0,14.0,1.0,14.0,764.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.2806813314927357,0.1659455394260049,0.5579692267789135,0.02725255353221336,,,,,,,,,,,,,,,,,,,,
38,0.0,1.0,24.0,1.0,24.0,788.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.6897026769697802,0.32500845451025606,1.1538858810174606,0.06809769361191231,,,,,,,,,,,,,,,,,,,,
39,0.0,1.0,13.0,1.0,13.0,801.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.2438685663492328,0.15122413321965367,0.4957489747906946,0.021155161998548208,,,,,,,,,,,,,,,,,,,,
40,0.0,1.0,28.0,1.0,28.0,829.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.3463667051523808,0.2631038827149538,0.8383605583167129,0.004346686317711486,,,,,,,,,,,,,,,,,,,,
41,0.0,1.0,20.0,1.0,20.0,849.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.34938490940442823,0.20537361459620984,0.6858331316924068,0.026209427336113363,,,,,,,,,,,,,,,,,,,,
42,0.0,1.0,37.0,1.0,37.0,886.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.20778474688573875,0.1917646893230952,0.6532561081702541,0.002456769746890273,,,,,,,,,,,,,,,,,,,,
43,0.0,1.0,15.0,1.0,15.0,901.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.13266644946405595,0.1452820102021151,0.4119977456566617,-0.016460912741045018,,,,,,,,,,,,,,,,,,,,
44,0.0,1.0,12.0,1.0,12.0,913.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.2676217789345696,0.14802401206038535,0.5146987996774298,0.0408913766182237,,,,,,,,,,,,,,,,,,,,
45,0.0,1.0,27.0,1.0,27.0,940.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4494965142681995,0.25196703857242103,0.8959913120593874,0.029767812345795782,,,,,,,,,,,,,,,,,,,,
46,0.0,1.0,11.0,1.0,11.0,951.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.16984554649724173,0.11346753508130157,0.3683475830116554,0.015279384873276082,,,,,,,,,,,,,,,,,,,,
47,0.0,1.0,20.0,1.0,20.0,971.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.40960453119283297,0.22674397986664235,0.7881799421996151,0.04048120058700943,,,,,,,,,,,,,,,,,,,,
48,0.0,1.0,13.0,1.0,13.0,984.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.21363688888295165,0.14237411415448087,0.4613515359326498,0.017339652434842253,,,,,,,,,,,,,,,,,,,,
49,0.0,1.0,26.0,1.0,26.0,1010.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.4742473830554941,0.28473221333991783,0.9572780969332844,0.025000945061403303,,,,,,,,,,,,,,,,,,,,
50,0.0,1.0,15.0,1.0,15.0,1025.0,0.10000000000000002,,,0.0,,,,,,,,,,,,,,,,0.32054820427438563,0.16158847000468285,0.5932993869374333,0.04383405396785589,,,,,,,,,,,,,,,,,,,,
51,0.0,0.0,14.0,1.0,14.0,1039.0,0.10000000000000002,0.6066598837828895,12.133197675657792,0.0,,,,,,,,,,,,,,,,0.3049164471905092,0.15338601001398255,0.5696682638143618,0.05407820609833261,,,,,,,,,,,,,,,,,,,,
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255,204.0,0.0,26.0,1.0,26.0,5999.0,0.10000000000000002,1.0195335328324109,20.39067065664822,0.0,,,,,,,,,,,,,,,,0.44187270027640224,0.2617170041334281,0.9137844755157032,0.051410531761833626,,,,,,,,,,,,,,,,,,,,
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 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 14.0 1.0 14.0 14.0 0.10000000000000002 0.0 0.2456291198296514 0.1485720227336834 0.4942178178295216 0.02284679373615421
3 2 0.0 1.0 20.0 1.0 20.0 34.0 0.10000000000000002 0.0 0.17600218405849968 0.17409081435461718 0.5197994032058006 -0.0013057342519407404
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