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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/Fetch_DDPG_HER_baselines_slide/trace.csv
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@@ -1,121 +1,121 @@
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,Q/Mean,Q/Stdev,Q/Max,Q/Min,TD targets/Mean,TD targets/Stdev,TD targets/Max,TD targets/Min,actions/Mean,actions/Stdev,actions/Max,actions/Min
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70,1960.0,0.0,17220.0,70.0,50.0,3500.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.8590095,0.06743985400000001,-2.705806,-2.9761326,,,,,-0.1140647277763888,0.5794673450928847,1.1580088428125093,-1.308084467261595
71,2000.0,0.0,17466.0,71.0,50.0,3550.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.0443683000000001,0.45131195,-0.5413604000000001,-1.9176447,,,,,-0.2045161209898888,0.6239785247462247,1.1236075853020535,-1.6111703371597141
72,2040.0,0.0,17712.0,72.0,50.0,3600.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.0678198,0.24895296,-1.5700306,-2.3396242000000003,,,,,-0.038317599369143585,0.5862347816009267,1.2819700706326604,-1.4779521514829037
73,2080.0,0.0,17958.0,73.0,50.0,3650.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.757268,0.057650782000000005,-2.6842852,-2.955076,,,,,-0.06397690215349539,0.4924542061784374,0.9706348051509576,-1.2014591748955614
74,2120.0,0.0,18204.0,74.0,50.0,3700.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.2540574,0.13137417,-2.0654504,-2.5938467999999997,,,,,0.20070325379681034,0.8145695618310825,1.5391162656590356,-1.4185922493955112
75,2160.0,0.0,18450.0,75.0,50.0,3750.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.423068,0.04118608,-2.3586411,-2.569798,,,,,0.3083023312295575,0.4754594053377512,1.3268536505318158,-0.9895616689051594
76,2200.0,0.0,18696.0,76.0,50.0,3800.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.5353694,0.12237016,-2.320174,-2.8967159,,,,,0.1863389852528184,0.6868609179316125,1.3792907269559715,-1.162784438637446
77,2240.0,0.0,18942.0,77.0,50.0,3850.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.0722994999999997,0.056910317,-2.9488866000000002,-3.167251,,,,,-0.02816530919307715,0.6690111475162567,1.397227449122553,-1.1754738495853323
78,2280.0,0.0,19188.0,78.0,50.0,3900.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.57954,0.08289930000000001,-3.392689,-3.6827078,,,,,0.2774311380378605,0.475353332011277,1.3172206545957164,-0.926632937282216
79,2320.0,0.0,19434.0,79.0,50.0,3950.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.7987062999999996,0.046286296,-2.7161832,-2.9367107999999997,,,,,0.28442315307419896,0.6017897272764939,1.3525040199433995,-0.9745275302815136
80,2360.0,0.0,19680.0,80.0,50.0,4000.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.3287312,0.20427454,-1.0509951000000002,-1.7631866000000003,,,,,0.17608831982412,0.5952834615471121,1.3463144442436947,-1.1969953951174614
81,2400.0,0.0,19926.0,81.0,50.0,4050.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.9376407,0.09256915,-2.7281747000000003,-3.1525323,,,,,-0.18734106134605216,0.5949595780385071,1.18652439780973,-1.4102067970898675
82,2440.0,0.0,20172.0,82.0,50.0,4100.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.2079923,0.070021264,-3.0861422999999997,-3.3294156000000004,,,,,0.0032246157641808576,0.623412694746026,1.1306997282032554,-1.233139024922721
83,2480.0,0.0,20418.0,83.0,50.0,4150.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.0974863,0.060003977,-3.0229256,-3.2685148999999996,,,,,-0.049951498324609024,0.4347005963943047,0.9689411154798222,-0.9821274539735534
84,2520.0,0.0,20664.0,84.0,50.0,4200.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.1221865,0.29446512,-0.7096495,-1.7937633000000002,,,,,0.02945768929206893,0.6446149867580385,1.3337265400447724,-1.2534003341475497
85,2560.0,0.0,20910.0,85.0,50.0,4250.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.1045439999999997,0.15051521,-1.8818272,-2.4989324,,,,,0.054544627316991744,0.6536447201363763,1.4075452728763502,-1.3051923441798232
86,2600.0,0.0,21156.0,86.0,50.0,4300.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.7792926,0.08755199,-2.6564338,-3.1033604,,,,,0.4670057265839921,0.4815473188766065,1.3198472979888485,-0.8496107650765157
87,2640.0,0.0,21402.0,87.0,50.0,4350.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.8513718,0.13088353,-2.6779985,-3.2919316,,,,,0.036195255825786865,0.6036167773512188,1.4080817143143587,-1.1618184669228262
88,2680.0,0.0,21648.0,88.0,50.0,4400.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.6744133999999997,0.055435885,-3.569443,-3.8243747000000003,,,,,0.20585015389331093,0.507645897381521,1.170502257539154,-0.9929165580456588
89,2720.0,0.0,21894.0,89.0,50.0,4450.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.6702492,0.20479229999999998,-2.3021027999999997,-3.163353,,,,,0.19200452769642845,0.8284775380458402,1.440473227442468,-1.358935693640991
90,2760.0,0.0,22140.0,90.0,50.0,4500.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.8288088,0.25550413,-2.532669,-3.363318,,,,,0.2423226633342269,0.4904127865206372,1.3039552069573406,-0.9529767081415732
91,2800.0,0.0,22386.0,91.0,50.0,4550.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.8400351000000001,0.24452664,-1.4642625,-2.4890103,,,,,0.2401488410176021,0.7403699760564281,1.3844917479398429,-1.3766769574712872
92,2840.0,0.0,22632.0,92.0,50.0,4600.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.3384888,0.088029824,-3.2452571,-3.6441882000000003,,,,,0.2694697317436577,0.7261670096120841,1.5453778650708625,-1.4175846270715562
93,2880.0,0.0,22878.0,93.0,50.0,4650.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.6075407999999998,0.2172091,-3.2896962,-3.954105,,,,,-0.08854308767902007,0.7546651150142404,1.4867712355191904,-1.3439946568619674
94,2920.0,0.0,23124.0,94.0,50.0,4700.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.2813227000000005,0.12847067,-2.043287,-2.5550199,,,,,-0.17694735738352685,0.492248374411054,1.3477518453705928,-1.323845775142464
95,2960.0,0.0,23370.0,95.0,50.0,4750.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.946085,0.18847758,-2.7402808999999997,-3.490946,,,,,-0.06536489464702852,0.5340848794562104,1.15493528444825,-1.1227915793403196
96,3000.0,0.0,23616.0,96.0,50.0,4800.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.4380517,0.040264957000000004,-3.3771402999999998,-3.5494611000000003,,,,,-0.04184124414391557,0.4372370098845664,0.981070667017124,-0.9673340280533124
97,3040.0,0.0,23862.0,97.0,50.0,4850.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.4082508000000002,0.08805543,-3.2786632000000004,-3.6156987999999997,,,,,0.21471927516623807,0.6908956266056449,1.363433205715488,-1.10005308211356
98,3080.0,0.0,24108.0,98.0,50.0,4900.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.3346372000000004,0.17043224,-2.898628,-3.6801684,,,,,0.11014566665791303,0.7150292708970316,1.4883161567879957,-1.394704008563589
99,3120.0,0.0,24354.0,99.0,50.0,4950.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.1143224,0.26812983,-2.7029066000000004,-3.5036254000000002,,,,,0.0688692507751107,0.6360456348920339,1.2908667629138115,-1.1661700689022887
100,3160.0,0.0,24600.0,100.0,50.0,5000.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.4552217000000005,0.052327402,-3.3602526,-3.598292,,,,,0.03009804233101091,0.4494202539171542,0.9973908415223632,-1.0626481924322089
101,3200.0,0.0,24846.0,101.0,50.0,5050.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.4247085999999998,0.16525234,-2.142931,-2.787823,,,,,-0.05287082792757216,0.6753178301370718,1.3542644470683218,-1.3783996459208494
102,3240.0,0.0,25092.0,102.0,50.0,5100.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.678747,0.08559595,-2.4464822,-2.870227,,,,,-0.13173404847479978,0.5784192020245794,1.2169492347536337,-1.174730418213738
103,3280.0,0.0,25338.0,103.0,50.0,5150.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.8463027000000003,0.086537,-3.6924984,-4.053755799999999,,,,,0.018837693463836663,0.5292894273355129,1.1160684636035199,-1.1952336367323015
104,3320.0,0.0,25584.0,104.0,50.0,5200.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.489949,0.07528181,-4.3677335,-4.6123614,,,,,0.20593668590983896,0.6417125225744613,1.4467558266129386,-1.028509824118234
105,3360.0,0.0,25830.0,105.0,50.0,5250.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.1515379999999995,0.064833164,-4.0609226000000005,-4.3274817,,,,,-0.06668423986600866,0.6619248442953942,1.4754127007374265,-1.2408326224280095
106,3400.0,0.0,26076.0,106.0,50.0,5300.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.4810722000000003,0.06702451,-3.3312163,-3.6192055,,,,,0.21531419223508716,0.7233613348399613,1.4017970420110302,-1.1412416033391242
107,3440.0,0.0,26322.0,107.0,50.0,5350.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-2.7796874,0.24075618,-2.3732238,-3.3517861000000004,,,,,0.17938183007453126,0.4826734626563458,1.375500213010725,-1.1902898082064852
108,3480.0,0.0,26568.0,108.0,50.0,5400.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.9046087,0.06153155,-3.8081887,-4.083968,,,,,-0.020838754044172743,0.5922541797868319,1.2549717269742913,-1.128198815531843
109,3520.0,0.0,26814.0,109.0,50.0,5450.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.7819910000000005,0.07558259,-3.622004,-3.9566739999999996,,,,,0.033571418743756826,0.5432534274624727,1.2469286439524447,-1.0638029196453769
110,3560.0,0.0,27060.0,110.0,50.0,5500.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.6456714,0.07783405,-4.516008,-4.8302190000000005,,,,,0.15316347676539308,0.4700470270111226,1.112775461830791,-0.9698394164484369
111,3600.0,0.0,27306.0,111.0,50.0,5550.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.178212,0.20909244,-3.8713586,-4.673853,,,,,-0.13871438871667274,0.8304089397899956,1.2713951386326898,-1.7022056749134242
112,3640.0,0.0,27552.0,112.0,50.0,5600.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-1.371796,0.20281329999999997,-1.11591,-2.1163366000000003,,,,,0.2303443760194225,0.6089531560402841,1.2459408126552547,-1.1911069905813476
113,3680.0,0.0,27798.0,113.0,50.0,5650.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.9231515,0.15559714,-3.6907074,-4.244309400000001,,,,,-0.03366824449637741,0.6931934709279205,1.2259610094750257,-1.3658820467451251
114,3720.0,0.0,28044.0,114.0,50.0,5700.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.169188500000001,0.03364817,-4.1142254000000005,-4.2350163,,,,,0.09462004660343247,0.4867692883217281,1.046063145315637,-0.9981789504134084
115,3760.0,0.0,28290.0,115.0,50.0,5750.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.13007,0.14570194,-3.9530773,-4.5048237,,,,,-0.08931887454962313,0.7051403360888872,1.399885818226195,-1.4499302121880828
116,3800.0,0.0,28536.0,116.0,50.0,5800.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.7609663,0.15003155,-3.5411277,-4.242407,,,,,0.0366352129439821,0.6073078695117691,1.3067909684747725,-1.4865657929189857
117,3840.0,0.0,28782.0,117.0,50.0,5850.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.571886,0.09401981,-4.3963356,-4.785101999999999,,,,,-0.10631665646759178,0.5194587805580654,0.9389788315812376,-1.2365603852539506
118,3880.0,0.0,29028.0,118.0,50.0,5900.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.474698,0.05127586,-4.387929,-4.608597799999999,,,,,-0.10960963362352164,0.8446645920594688,1.3754326121386995,-1.6541657760253172
119,3920.0,0.0,29274.0,119.0,50.0,5950.0,0.1,-50.0,-50.0,1.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-3.8786619,0.72744113,-3.1931589,-5.3239837,,,,,-0.42880890003812666,0.718607078597157,1.398065421552768,-1.4328618034255136
120,3960.0,0.0,29520.0,120.0,50.0,6000.0,0.1,-50.0,-50.0,0.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,-4.3818803,0.061143212,-4.2775702,-4.5351624,,,,,0.08622143669770993,0.7120996586371341,1.468810720034572,-1.0683222411575068
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,Q/Mean,Q/Stdev,Q/Max,Q/Min,TD targets/Mean,TD targets/Stdev,TD targets/Max,TD targets/Min,actions/Mean,actions/Stdev,actions/Max,actions/Min
1,0.0,1.0,246.0,1.0,50.0,50.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
2,0.0,1.0,492.0,2.0,50.0,100.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
3,0.0,1.0,738.0,3.0,50.0,150.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
4,0.0,1.0,984.0,4.0,50.0,200.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
5,0.0,1.0,1230.0,5.0,50.0,250.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
6,0.0,1.0,1476.0,6.0,50.0,300.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
7,0.0,1.0,1722.0,7.0,50.0,350.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
8,0.0,1.0,1968.0,8.0,50.0,400.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
9,0.0,1.0,2214.0,9.0,50.0,450.0,0.1,,,0.0,,,,,,,,,,,,,,,,-18.84431432426873,9.007305717332294,-1.0,-31.79151599564413,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
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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 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 Q/Mean Q/Stdev Q/Max Q/Min TD targets/Mean TD targets/Stdev TD targets/Max TD targets/Min actions/Mean actions/Stdev actions/Max actions/Min
2 1 0.0 1.0 246.0 1.0 50.0 50.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
3 2 0.0 1.0 492.0 2.0 50.0 100.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
4 3 0.0 1.0 738.0 3.0 50.0 150.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
5 4 0.0 1.0 984.0 4.0 50.0 200.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
6 5 0.0 1.0 1230.0 5.0 50.0 250.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
7 6 0.0 1.0 1476.0 6.0 50.0 300.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
8 7 0.0 1.0 1722.0 7.0 50.0 350.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
9 8 0.0 1.0 1968.0 8.0 50.0 400.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
10 9 0.0 1.0 2214.0 9.0 50.0 450.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
11 10 0.0 1.0 2460.0 10.0 50.0 500.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
12 11 0.0 1.0 2706.0 11.0 50.0 550.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
13 12 0.0 1.0 2952.0 12.0 50.0 600.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
14 13 0.0 1.0 3198.0 13.0 50.0 650.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
15 14 0.0 1.0 3444.0 14.0 50.0 700.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
16 15 0.0 1.0 3690.0 15.0 50.0 750.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
17 16 0.0 1.0 3936.0 16.0 50.0 800.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
18 17 0.0 1.0 4182.0 17.0 50.0 850.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
19 18 0.0 1.0 4428.0 18.0 50.0 900.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
20 19 0.0 1.0 4674.0 19.0 50.0 950.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
21 20 0.0 1.0 4920.0 20.0 50.0 1000.0 0.1 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
22 21 0.0 1.0 5166.0 21.0 50.0 1050.0 0.1 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413
23 22 40.0 0.0 5412.0 22.0 50.0 1100.0 0.1 -50.0 -50.0 1.0 1.7188317168969658 1.863912168005481 0.5840198998236316 0.6574716061622019 2.459716944023967 2.699096610769629 0.3135296106338501 0.2480340749025345 0.001 0.0 0.001 0.001 0.43580866 0.41126552 0.57773954 0.40254167 3.1123218999999995 2.1249267999999994 0.062947065 0.13000983 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.2420623 -0.25234120000000004 0.06333557 0.055304136 0.013502683500000001 0.0015052403 -0.35456935 -0.35683304 -0.17971139893852522 -0.23089631381775744 0.3203678218473076 0.4002611170055835 0.0 -0.969183549284935 -1.1447786837816238 0.05488702161667583 0.26696201257808544 0.34446681993147593 0.4834055634381974 0.9814501104952102 1.3605039708370212 -0.9372007403745176
24 23 80.0 0.0 5658.0 23.0 50.0 1150.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.61740243 -0.87845397 0.27791268 0.138221 -0.24723712 -0.66792667 -1.0403504000000001 -1.1555579 -0.11271203474437325 -0.12428369557314987 0.5742631994898589 0.6050682738594667 1.0941433886250913 1.0026655857915008 -1.3697138444417851 -1.4685783709068758
25 24 120.0 0.0 5904.0 24.0 50.0 1200.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.57618105 -0.76239294 0.04426721 0.11341414 -0.4997121 -0.5929415 -0.69842064 -1.0248544 -0.027737032636189842 -0.01829413780954669 0.5321432380501546 0.6773787819104226 1.1100037668658276 1.3821062239084232 -1.2462838648428542 -1.3847075134707094
26 25 160.0 0.0 6150.0 25.0 50.0 1250.0 0.1 -50.0 -50.0 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.6927262 -0.8193398000000001 0.11330087 0.14797132 -0.5510265000000001 -0.6448043999999999 -1.0262163 -1.2388576 0.06264336459874012 -0.027059359403095902 0.4139195643228133 0.5917320029946799 0.919312415922513 1.4531060241319846 -0.9168376403568012 -1.2404277869973068
27 26 200.0 0.0 6396.0 26.0 50.0 1300.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.38757187 -0.30171427 0.089267425 0.06249358 -0.2293561 -0.18274729 -0.6023775 -0.43261809999999995 0.04179834586101398 0.05779393195981149 0.4658737678271033 0.4011109253291522 1.0224315869682925 0.9948808575127016 -0.98098311874754
28 27 240.0 0.0 6642.0 27.0 50.0 1350.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.1378105 -1.1923355 0.031368796000000004 0.04778822 -1.0906267 -1.1141538999999998 -1.2227516 -1.3227794 0.034665760646174514 0.03854811567697519 0.3693900901682577 0.380519362167752 0.9657766612792222 -0.9263611181543424
29 28 280.0 0.0 6888.0 28.0 50.0 1400.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.9563456 -0.9926943000000001 0.13723812 0.05068575 -0.7406679 -0.88759255 -1.2111688 -1.1004833 0.11914766510077353 -0.04553279485464262 0.4727342587821676 0.4350157417085375 1.1473878377720177 1.0091018479463023 -1.0633555916935966 -0.994725830593228
30 29 320.0 0.0 7134.0 29.0 50.0 1450.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.7866533 -0.9684069 0.04249498 0.05223586 -0.7055869 -0.8582204 -0.8697239 -1.0952708999999998 0.21451592368539388 0.0124675610515984 0.4582822136990308 0.4135204288420716 1.1069574717361714 0.9613522950489308 -0.9945747161433748
31 30 360.0 0.0 7380.0 30.0 50.0 1500.0 0.1 -50.0 -50.0 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.2491819 -1.5861576000000002 0.08099759 0.05779471 -1.1538235000000001 -1.4617138 -1.5198131000000001 -1.7313699 0.1899263825303622 0.0003338417120956316 0.4856754823858653 0.5349227809303453 1.1225672954415105 1.0745271257947016 -0.982814891819228 -1.0551554968471726
32 31 400.0 0.0 7626.0 31.0 50.0 1550.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.2758684999999998 -1.6487939999999999 0.09126878 0.1530436 -1.0656763 -1.3675805 -1.4053245 -1.9032682 -0.1729774782696692 -0.024131420812547388 0.715943560733121 0.3977490117412472 1.3151942940852681 0.9617801562576314 -1.3435239665462697 -0.9913504469598621
33 32 440.0 0.0 7872.0 32.0 50.0 1600.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.3062719999999999 -1.0448612 0.08536281 0.10695813 -1.0545075000000002 -0.89612293 -1.4259775 -1.4381715 0.014243614033133152 0.03223393597387559 0.7200428000657331 0.667026679532677 1.6567358048329008 1.2659334711346226 -1.0647613704372745 -1.3821157588832564
34 33 480.0 0.0 8118.0 33.0 50.0 1650.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.4415201000000002 -1.1166776000000003 0.032775674 0.17278229 -1.3795292 -0.87218714 -1.5288534 -1.4930443000000002 -0.14303813705148544 -0.040639555907987714 0.6892848221237662 0.5155009792699096 1.5787098365265186 1.0316922440179481 -1.3623742856918404 -1.0215336505541301
35 34 520.0 0.0 8364.0 34.0 50.0 1700.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.9526225 -1.0138104 0.074560665 0.108260125 -0.8395200999999999 -0.76337427 -1.1905370000000002 -1.2314323 0.22378669552208727 0.1375899312683962 0.5689294629596792 0.5275987324013394 1.2604852005171656 1.2328614823593624 -0.9357410694406424 -1.035219624270463
36 35 560.0 0.0 8610.0 35.0 50.0 1750.0 0.1 -50.0 -50.0 0.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.2258973 -1.2837213 0.09099273 0.09221495 -1.0642208999999998 -1.1859896 -1.5139018 -1.5679806 0.5214344739807053 -0.042276897478361455 0.611506587857161 0.8755060128566525 1.5950855195191391 1.5657904326584826 -1.0285206191816554 -1.3653927552015672
37 36 600.0 0.0 8856.0 36.0 50.0 1800.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.953356 -1.9309709 0.07440405 0.06333061 -1.8437569 -1.8146555 -2.1455226 -2.0566635 0.09515688445692368 0.07084352601592844 0.7156657766730242 0.6998279082172459 1.3925414990267515 1.3849254177915542 -1.2519778107822506 -1.319264076841003
38 37 640.0 0.0 9102.0 37.0 50.0 1850.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -0.8454244000000001 -1.1605575000000001 0.32941390000000004 0.11628684 -0.37694475 -1.0214312 -1.4998542 -1.4706941999999998 -0.2214180271319865 0.14814815644018287 0.7134369558087545 0.6944433792730402 1.315860325484811 1.3102390064080165 -1.4363586739178655 -1.2773684129595648
39 38 680.0 0.0 9348.0 38.0 50.0 1900.0 0.1 -50.0 -50.0 1.0 -18.84431432426873 9.007305717332294 -1.0 -31.79151599564413 -1.7886403000000002 -2.109277 0.14224246 0.061685972 -1.5692306 -1.9930078999999998 -2.1063473 -2.249091 -0.2151257726998574 0.2269014555884951 0.7253491206210076 0.6976486167584982 1.401767178450565 1.3212033242654655 -1.3549240396441895 -1.2083681455532331
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