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Code Issues Projects Releases Wiki Activity

Trace tests update

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This commit is contained in:
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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351
rl_coach/traces/Mujoco_NAF_inverted_pendulum/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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347,21790.0,0.0,5384.0,347.0,75.0,5384.0,0.060671334674488715,75.0,75.0,1.0,,,,0.13453240365162492,0.08421223202105829,0.4111027866601944,0.004481745418161154,0.0010000000000000002,2.168404344971009e-19,0.001,0.001,1.7303047999999999,1.1643214,6.8531949999999995,0.15921858,4.1746992999999994,0.5739361,4.5422583,1.2001398,0.34166658,0.09310800000000001,0.6536502,0.26102516,0.0,0.0,-0.0,-0.0,0.037012964,0.40938875,2.8546286,-0.5811398,4.1746992999999994,0.5739361,4.5422583,1.2001398,3.997026974397152,0.9149776754058808,4.6312272214889525,1.0
348,22280.0,0.0,5482.0,348.0,98.0,5482.0,-0.09641149295666246,98.0,98.0,1.0,,,,0.15073943326382766,0.09760096781623154,0.5139647051692009,0.0073789479210972795,0.0010000000000000002,2.168404344971009e-19,0.001,0.001,1.8595644,1.2162573,10.085481,0.16121265,4.2982435,0.5269408,4.613461,1.2388031000000002,0.32818627,0.09202402,0.6857746,0.25082168,0.0,0.0,-0.0,-0.0,0.09911861,0.43460956,2.8110807,-0.6220431,4.2982435,0.5269408,4.613461,1.2388031000000002,4.049786087558395,0.9503121190958012,4.736983139514923,1.0
349,22675.0,0.0,5561.0,349.0,79.0,5561.0,0.06356970704381024,79.0,79.0,1.0,,,,0.16208628364897604,0.1055439849112882,0.5026236465200782,0.005416620057076216,0.0010000000000000002,2.168404344971009e-19,0.001,0.001,1.8576423999999998,1.2311538,7.8511686,0.18503845,4.23425,0.7658674,4.704326,0.94744074,0.32076994,0.10894622,0.6915968000000001,0.08440009,0.0,0.0,-0.0,-0.0,-0.09717136,0.9904389000000001,2.3487419999999997,-2.9999802000000004,4.23425,0.7658674,4.704326,0.94744074,4.121213940648008,0.972843331879068,4.809874808788299,1.0
350,23055.0,0.0,5637.0,350.0,76.0,5637.0,-0.007264543497715825,76.0,76.0,0.0,,,,0.15036754147639791,0.1050674548811278,0.4739758744835854,0.005147923715412618,0.0010000000000000002,2.168404344971009e-19,0.001,0.001,1.8848683999999998,1.2833649,8.922008,0.20103481,4.2693553,0.8143034,4.7274666,0.95347434,0.32386363,0.10428062,0.7765068,0.092170075,0.0,0.0,-0.0,-0.0,-0.03434042,0.6799468000000001,1.547982,-2.9998426,4.2693553,0.8143034,4.7274666,0.95347434,4.177004114846552,0.9929261651435051,4.891065211296081,1.0
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 4.0 1.0 4.0 4.0 0.0 0.0
3 2 0.0 1.0 7.0 2.0 3.0 7.0 0.0 0.0
4 3 0.0 1.0 10.0 3.0 3.0 10.0 0.0 0.0
5 4 0.0 1.0 17.0 4.0 7.0 17.0 0.0 0.0
6 5 0.0 1.0 23.0 5.0 6.0 23.0 0.0 0.0
7 6 0.0 1.0 31.0 6.0 8.0 31.0 0.0 0.0
8 7 0.0 1.0 34.0 7.0 3.0 34.0 0.0 0.0
9 8 0.0 1.0 37.0 8.0 3.0 37.0 0.0 0.0
10 9 0.0 1.0 41.0 9.0 4.0 41.0 0.0 0.0
11 10 0.0 1.0 47.0 10.0 6.0 47.0 0.0 0.0
12 11 0.0 1.0 53.0 11.0 6.0 53.0 0.0 0.0
13 12 0.0 1.0 56.0 12.0 3.0 56.0 0.0 0.0
14 13 0.0 1.0 59.0 13.0 3.0 59.0 0.0 0.0
15 14 0.0 1.0 63.0 14.0 4.0 63.0 0.0 0.0
16 15 0.0 1.0 67.0 15.0 4.0 67.0 0.0 0.0
17 16 0.0 1.0 72.0 16.0 5.0 72.0 0.0 0.0
18 17 0.0 1.0 82.0 17.0 10.0 82.0 0.0 0.0
19 18 0.0 1.0 85.0 18.0 3.0 85.0 0.0 0.0
20 19 0.0 1.0 91.0 19.0 6.0 91.0 0.0 0.0
21 20 0.0 1.0 95.0 20.0 4.0 95.0 0.0 0.0
22 21 0.0 1.0 100.0 21.0 5.0 100.0 0.0 0.0
23 22 0.0 1.0 103.0 22.0 3.0 103.0 0.0 0.0
24 23 0.0 1.0 118.0 23.0 15.0 118.0 0.0 0.0
25 24 0.0 1.0 121.0 24.0 3.0 121.0 0.0 0.0
26 25 0.0 1.0 131.0 25.0 10.0 131.0 0.0 0.0
27 26 0.0 1.0 134.0 26.0 3.0 134.0 0.0 0.0
28 27 0.0 1.0 138.0 27.0 4.0 138.0 0.0 0.0
29 28 0.0 1.0 142.0 28.0 4.0 142.0 0.0 0.0
30 29 0.0 1.0 146.0 29.0 4.0 146.0 0.0 0.0
31 30 0.0 1.0 152.0 30.0 6.0 152.0 0.0 0.0
32 31 0.0 1.0 168.0 31.0 16.0 168.0 0.0 0.0
33 32 0.0 1.0 172.0 32.0 4.0 172.0 0.0 0.0
34 33 0.0 1.0 178.0 33.0 6.0 178.0 0.0 0.0
35 34 0.0 1.0 187.0 34.0 9.0 187.0 0.0 0.0
36 35 0.0 1.0 199.0 35.0 12.0 199.0 0.0 0.0
37 36 0.0 1.0 210.0 36.0 11.0 210.0 0.0 0.0
38 37 0.0 1.0 216.0 37.0 6.0 216.0 0.0 0.0
39 38 0.0 1.0 221.0 38.0 5.0 221.0 0.0 0.0
40 39 0.0 1.0 225.0 39.0 4.0 225.0 0.0 0.0
41 40 0.0 1.0 231.0 40.0 6.0 231.0 0.0 0.0
42 41 0.0 1.0 239.0 41.0 8.0 239.0 0.0 0.0
43 42 0.0 1.0 244.0 42.0 5.0 244.0 0.0 0.0
44 43 0.0 1.0 251.0 43.0 7.0 251.0 0.0 0.0
45 44 0.0 1.0 262.0 44.0 11.0 262.0 0.0 0.0
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47 46 0.0 1.0 273.0 46.0 3.0 273.0 0.0 0.0
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