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new traces

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itaicaspi-intel
2018-09-12 15:29:42 +03:00
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commit fa4895f840
76 changed files with 12786 additions and 12606 deletions
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rl_coach/traces/Doom_Basic_DFP/trace.csv
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@@ -1,66 +1,66 @@
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
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3,0.0,1.0,187.0,3.0,47.0,187.0,0.5,,,0.0,,,,,,,,,,,,,,,
4,0.0,1.0,262.0,4.0,75.0,262.0,0.5,,,0.0,,,,,,,,,,,,,,,
5,0.0,1.0,265.0,5.0,3.0,265.0,0.5,,,0.0,,,,,,,,,,,,,,,
6,0.0,1.0,277.0,6.0,12.0,277.0,0.5,,,0.0,,,,,,,,,,,,,,,
7,0.0,1.0,343.0,7.0,66.0,343.0,0.5,,,0.0,,,,,,,,,,,,,,,
8,0.0,1.0,356.0,8.0,13.0,356.0,0.5,,,0.0,,,,,,,,,,,,,,,
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11,0.0,1.0,447.0,11.0,75.0,447.0,0.5,,,0.0,,,,,,,,,,,,,,,
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50,1111.0,0.0,2170.0,50.0,28.0,2170.0,0.4444000000000061,-23.0,-23.0,0.0,,,,2167.5146213107637,418.6486196316667,2978.5595703125,1144.399169921875,0.0001,1.3552527156068802e-20,0.0001,0.0001,10905.161,6223.7334,30859.734,2938.511
51,1125.0,0.0,2184.0,51.0,14.0,2184.0,0.4437000000000062,47.0,47.0,0.0,,,,2260.243361253005,270.9846229965501,2814.1787109375,1916.0750732421875,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,10421.190999999999,4779.9146,18740.24,4033.5125
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60,1536.0,0.0,2595.0,60.0,75.0,2595.0,0.4231500000000085,-345.0,-345.0,0.0,,,,2085.1278554555533,437.58567881234,3290.2333984375,1268.5421142578125,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,9111.574,5091.9233,25067.517999999996,1348.4824
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62,1686.0,0.0,2745.0,62.0,75.0,2745.0,0.4156500000000093,-325.0,-325.0,0.0,,,,2026.1754109150654,450.22828808801705,3065.60986328125,987.6249389648438,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,10752.766000000001,6122.658,27771.957000000002,1372.0846
63,1761.0,0.0,2820.0,63.0,75.0,2820.0,0.4119000000000097,-335.0,-335.0,0.0,,,,1894.7486151617927,481.5040244992176,3235.630126953125,915.2020263671876,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,9413.462,4855.9287,24218.564,1202.1124
64,1772.0,0.0,2831.0,64.0,11.0,2831.0,0.41135000000000976,49.0,49.0,0.0,,,,1993.5283447265624,453.2569012371,3084.971435546875,1584.0709228515625,0.0001,0.0,0.0001,0.0001,8501.79,4672.495,16319.774,3136.5254
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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,Discounted Return/Mean,Discounted Return/Stdev,Discounted Return/Max,Discounted Return/Min
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15,0.0,1.0,535.0,15.0,4.0,535.0,0.5,,,0.0,,,,,,,,,,,,,,,,91.56477525,5.523422867125757,99.0,84.17920099999998
16,0.0,1.0,604.0,16.0,69.0,604.0,0.5,,,0.0,,,,,,,,,,,,,,,,-59.19519221300213,83.80512135465513,96.01,-188.03567411417015
17,0.0,1.0,634.0,17.0,30.0,634.0,0.5,,,0.0,,,,,,,,,,,,,,,,24.450353672843228,44.387031797498466,99.0,-44.78293545641712
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20,0.0,1.0,752.0,20.0,6.0,752.0,0.5,,,0.0,,,,,,,,,,,,,,,,82.26434579505,10.5527077225185,97.0,67.74155480030001
21,0.0,1.0,761.0,21.0,9.0,761.0,0.5,,,0.0,,,,,,,,,,,,,,,,78.39326117403546,14.001209986736805,99.0,55.49960251953212
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51,1136.0,0.0,2195.0,51.0,7.0,2195.0,0.4431500000000063,68.0,68.0,0.0,,,,2105.003133138021,545.0308520525516,3252.09375,1513.617919921875,0.0001,0.0,0.0001,0.0001,8096.7485,5309.719,16555.355,1593.9109,79.52145914608528,11.857136384969074,97.0,63.064139252297004
52,1200.0,0.0,2259.0,52.0,64.0,2259.0,0.4399500000000066,-172.0,-172.0,0.0,,,,2076.306134905134,411.62804360849447,3618.78759765625,1295.5577392578125,0.00010000000000000003,4.0657581468206416e-20,0.0001,0.0001,6875.9980000000005,4384.9243,26074.375,1276.7764,-37.28882279406413,70.58997223364348,96.01,-149.63146809272615
53,1254.0,0.0,2313.0,53.0,54.0,2313.0,0.4372500000000069,-148.0,-148.0,0.0,,,,2062.9143964659493,404.9923512755002,2872.9365234375,1128.6954345703125,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,9784.452,4749.795,23301.467,2328.4897,-25.098979653045536,67.49519644231191,99.0,-135.80459695692457
54,1329.0,0.0,2388.0,54.0,75.0,2388.0,0.4335000000000073,-355.0,-355.0,0.0,,,,2032.5821714659,475.4288284225326,3192.84375,1093.6826171875,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8299.046999999999,5501.347,23451.635,1708.4868,-139.05135560903489,70.56243022522945,-4.0,-253.24392251840783
55,1348.0,0.0,2407.0,55.0,19.0,2407.0,0.4325500000000074,12.0,12.0,0.0,,,,1932.242350260417,407.40015476970365,3074.233642578125,1500.82177734375,0.0001,0.0,0.0001,0.0001,9567.251,4618.74,20141.332,3189.5544,52.44680627873906,29.67111139339345,99.0,2.055663441454086
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57,1428.0,0.0,2487.0,57.0,75.0,2487.0,0.4285500000000079,-350.0,-350.0,0.0,,,,2046.8871971336569,433.2413911714434,3145.328369140625,1241.1619873046875,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8318.016,4681.134,22736.222999999998,1363.9845,-139.41023208669137,72.0475470283148,-4.0,-247.92154134846604
58,1435.0,0.0,2494.0,58.0,7.0,2494.0,0.4282000000000079,71.0,71.0,0.0,,,,2023.9227498372393,482.7472971356896,2575.93017578125,1355.9217529296875,0.0001,0.0,0.0001,0.0001,11316.526000000002,6137.6816,21020.406000000003,3036.7776,70.24187279442843,30.61416160211121,96.01,-1.0
59,1510.0,0.0,2569.0,59.0,75.0,2569.0,0.4244500000000083,-340.0,-340.0,0.0,,,,2164.7145847629863,396.8809203620778,3320.08203125,1509.9635009765625,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,9712.334,5969.1006,30496.428,1196.6857,-129.35191966415786,68.50938816894997,-4.0,-245.4404649008904
60,1583.0,0.0,2642.0,60.0,73.0,2642.0,0.4208000000000087,-234.0,-234.0,0.0,,,,2033.5743459065757,425.59716624421014,3318.57177734375,1075.3277587890623,0.00010000000000000002,1.3552527156068802e-20,0.0001,0.0001,9088.255,6180.422,29278.343999999997,1780.5922,-59.36023768877866,84.48006018118045,99.0,-192.59295604766814
61,1592.0,0.0,2651.0,61.0,9.0,2651.0,0.4203500000000088,57.0,57.0,0.0,,,,2053.125991821289,343.56935879518954,2455.6279296875,1377.9791259765625,0.0001,0.0,0.0001,0.0001,10337.521999999999,4881.9546,18788.223,4377.1763,75.67048616847991,16.083178250199186,99.0,50.696622469532116
62,1667.0,0.0,2726.0,62.0,75.0,2726.0,0.4166000000000092,-335.0,-335.0,0.0,,,,2174.27130291913,454.75056931188817,3421.951416015625,1202.7655029296875,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,9672.26,5690.7725,27005.385,1466.6191,-131.24610661098382,68.12268557477266,-4.0,-238.9549697391535
63,1742.0,0.0,2801.0,63.0,75.0,2801.0,0.4128500000000096,-345.0,-345.0,0.0,,,,1987.8187140387454,436.0526358838751,3128.17333984375,1124.53271484375,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,10713.618999999999,6373.6587,28116.477000000003,1484.0427,-135.21448898670928,68.5353338825021,-4.0,-246.04962955552315
64,1817.0,0.0,2876.0,64.0,75.0,2876.0,0.40910000000001,-335.0,-335.0,0.0,,,,1994.9834512246618,381.3618638059726,2752.541015625,967.9312744140624,0.00010000000000000003,2.7105054312137605e-20,0.0001,0.0001,8420.51,5059.065,25717.832000000002,1672.1285,-132.9964791103916,63.787680865350474,-4.0,-237.62892996687492
65,1824.0,0.0,2883.0,65.0,7.0,2883.0,0.4087500000000101,68.0,68.0,0.0,,,,1897.7358194986982,289.1970352574714,2283.934326171875,1467.1312255859375,0.0001,0.0,0.0001,0.0001,6556.342,2698.2393,11575.618,3923.11,79.52145914608528,11.857136384969074,97.0,63.064139252297004
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
2 1 0.0 1.0 65.0 1.0 65.0 65.0 0.5 0.0 -46.39309781107478 78.69078630967911 99.0 -163.47927921495085
3 2 0.0 1.0 140.0 2.0 75.0 140.0 0.5 0.0 -145.11733929351846 77.45119435465236 -4.0 -258.74949043420304
4 3 0.0 1.0 187.0 3.0 47.0 187.0 0.5 0.0 -14.124982524140995 59.166064787437755 96.01 -103.3952103168219
5 4 0.0 1.0 262.0 4.0 75.0 262.0 0.5 0.0 -147.10186751984475 71.18101362111399 -4.0 -252.19555490920843
6 5 0.0 1.0 265.0 5.0 3.0 265.0 0.5 0.0 94.02663333333334 4.053963410732211 99.0 89.0699
7 6 0.0 1.0 277.0 6.0 12.0 277.0 0.5 0.0 70.40749385959573 18.485081950657637 99.0 41.97080882509949
8 7 0.0 1.0 343.0 7.0 66.0 343.0 0.5 0.0 -48.80936600486318 80.34021001863798 99.0 -175.54123074423256
9 8 0.0 1.0 356.0 8.0 13.0 356.0 0.5 0.0 70.13084248857672 17.67662622826485 99.0 42.30605098634849
10 9 0.0 1.0 366.0 9.0 10.0 366.0 0.5 0.0 71.82435460159118 15.51820933922208 97.0 49.310671252364514
11 10 0.0 1.0 372.0 10.0 6.0 372.0 0.5 0.0 86.69009081501667 8.353358589486014 99.0 74.5440349001
12 11 0.0 1.0 447.0 11.0 75.0 447.0 0.5 0.0 -138.40596798936093 70.01123795990729 -9.0 -243.63184243230225
13 12 0.0 1.0 452.0 12.0 5.0 452.0 0.5 0.0 85.16890399399999 9.111137050102801 97.0 72.46621696999998
14 13 0.0 1.0 456.0 13.0 4.0 456.0 0.5 0.0 91.56477525 5.523422867125757 99.0 84.17920099999998
15 14 0.0 1.0 531.0 14.0 75.0 531.0 0.5 0.0 -141.31846016799287 68.73089096339329 -4.0 -241.4254089636417
16 15 0.0 1.0 535.0 15.0 4.0 535.0 0.5 0.0 91.56477525 5.523422867125757 99.0 84.17920099999998
17 16 0.0 1.0 604.0 16.0 69.0 604.0 0.5 0.0 -59.19519221300213 83.80512135465513 96.01 -188.03567411417015
18 17 0.0 1.0 634.0 17.0 30.0 634.0 0.5 0.0 24.450353672843228 44.387031797498466 99.0 -44.78293545641712
19 18 0.0 1.0 709.0 18.0 75.0 709.0 0.5 0.0 -141.70517126690208 73.12708685808927 -4.0 -251.2334561109327
20 19 0.0 1.0 746.0 19.0 37.0 746.0 0.5 0.0 9.360214765701393 47.1423598403253 96.01 -68.14472673061566
21 20 0.0 1.0 752.0 20.0 6.0 752.0 0.5 0.0 82.26434579505 10.5527077225185 97.0 67.74155480030001
22 21 0.0 1.0 761.0 21.0 9.0 761.0 0.5 0.0 78.39326117403546 14.001209986736805 99.0 55.49960251953212
23 22 0.0 1.0 836.0 22.0 75.0 836.0 0.5 0.0 -137.8242175825955 70.69869213458422 -4.0 -244.07256243742756
24 23 0.0 1.0 902.0 23.0 66.0 902.0 0.5 0.0 -54.42280849950666 82.9023485115816 99.0 -176.84944079830865
25 24 0.0 1.0 905.0 24.0 3.0 905.0 0.5 0.0 94.02663333333334 4.053963410732211 99.0 89.0699
26 25 0.0 1.0 909.0 25.0 4.0 909.0 0.5 0.0 91.56477525 5.523422867125757 99.0 84.17920099999998
27 26 0.0 1.0 984.0 26.0 75.0 984.0 0.5 0.0 -142.71642638668678 71.52798320591751 -4.0 -250.46735374745938
28 27 0.0 1.0 993.0 27.0 9.0 993.0 0.5 0.0 67.91537963119279 27.36940757923588 96.01 -1.0
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