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Itaicaspi/episode reset refactoring (#105)

Browse Source 
* reordering of the episode reset operation and allowing to store episodes only when they are terminated

* reordering of the episode reset operation and allowing to store episodes only when they are terminated

* revert tensorflow-gpu to 1.9.0 + bug fix in should_train()

* tests readme file and refactoring of policy optimization agent train function

* Update README.md

* Update README.md

* additional policy optimization train function simplifications

* Updated the traces after the reordering of the environment reset

* docker and jenkins files

* updated the traces to the ones from within the docker container

* updated traces and added control suite to the docker

* updated jenkins file with the intel proxy + updated doom basic a3c test params

* updated line breaks in jenkins file

* added a missing line break in jenkins file

* refining trace tests ignored presets + adding a configurable beta entropy value

* switch the order of trace and golden tests in jenkins + fix golden tests processes not killed issue

* updated benchmarks for dueling ddqn breakout and pong

* allowing dynamic updates to the loss weights + bug fix in episode.update_returns

* remove docker and jenkins file
This commit is contained in:
Itai Caspi
2018-09-04 15:07:54 +03:00
committed by GitHub
parent 7086492127
commit 72a1d9d426
92 changed files with 9803 additions and 9740 deletions
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47
rl_coach/traces/Atari_C51_space_invaders/trace.csv
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@@ -3,29 +3,24 @@ Episode #,Training Iter,In Heatup,ER #Transitions,ER #Episodes,Episode Length,To
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,,,,,,,,,,,,,,,,,,,
5,51.0,0.0,1260.0,1260.0,203.0,1260.0,0.9997990300000044,3.0,30.0,0.0,,,,3.931728353687361,1.7148335424993695e-05,3.9317572116851807,3.931634187698364,0.00025,0.0,0.00025,0.00025,0.0015541904000000001,0.0023056455,0.009599385,0.0007559575999999999,,,,
6,116.0,0.0,1519.0,1519.0,259.0,1519.0,0.99954262000001,3.0,30.0,0.0,,,,3.9316723786867582,5.269867767456892e-05,3.9317219257354736,3.9313907623291016,0.00025,0.0,0.00025,0.00025,0.001739312,0.0026554922,0.009864504,0.00067749363,,,,
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26,969.0,0.0,4934.0,4934.0,272.0,4934.0,0.9961617700000832,1.0,5.0,0.0,,,,3.929590607390684,0.0006133207352767329,3.930098295211792,3.927515745162964,0.00025,0.0,0.00025,0.00025,0.0038270776,0.005072999999999999,0.021740799999999998,0.0010850433,,,,
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28,1047.0,0.0,5245.0,5245.0,77.0,5245.0,0.99585388000009,2.0,45.0,0.0,,,,3.9298872069308635,0.0005701280611071911,3.9302644729614262,3.9285831451416016,0.0002500000000000001,5.421010862427521e-20,0.00025,0.00025,0.0042041945,0.0059060673,0.016562391,0.0008514148599999999,0.03760540119061923,0.01643017217867538,0.05344712957739886,0.01295695789158402
29,1107.0,0.0,5486.0,5486.0,241.0,5486.0,0.9956152900000952,6.0,105.0,0.0,,,,3.929187309741974,0.0007912253650240303,3.930028200149536,3.92718768119812,0.00025,0.0,0.00025,0.00025,0.0057351263,0.0060241455000000005,0.018669646,0.0012705077,,,,
30,1170.0,0.0,5738.0,5738.0,252.0,5738.0,0.9953658100001006,0.0,0.0,0.0,,,,3.9288085188184474,0.0009372335274004561,3.929582357406616,3.926055908203125,0.00025,0.0,0.00025,0.00025,0.0061082826,0.006076769,0.019835133,0.001853791,,,,
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24,1165.0,0.0,5718.0,5718.0,180.0,5718.0,0.9953856100001002,3.0,55.0,0.0,,,,3.9300585714253513,0.00053408662096811,3.9305152893066406,3.928401231765747,0.00025,0.0,0.00025,0.00025,0.0033172776,0.004863477299999999,0.016010353,0.0006072133999999999,,,,
25,1190.0,0.0,5815.0,5815.0,97.0,5815.0,0.9952895800001024,0.0,0.0,0.0,,,,3.9299856324990587,0.0004047671393024133,3.9302456378936768,3.9285967350006095,0.00025,0.0,0.00025,0.00025,0.0030563176,0.004401815999999999,0.016188376,0.0011075826,,,,
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
3 2 0.0 1.0 573.0 573.0 87.0 573.0 1.0 0.0
4 3 0.0 1.0 722.0 722.0 149.0 722.0 1.0 0.0
5 4 0.0 1.0 1057.0 1057.0 335.0 1057.0 1.0 0.0
6 5 51.0 0.0 1260.0 1260.0 203.0 1260.0 0.9997990300000044 3.0 5.0 30.0 55.0 0.0 3.931728353687361 3.931745547874301 1.7148335424993695e-05 1.1304143308005733e-05 3.9317572116851807 3.9317700862884517 3.931634187698364 3.9316890239715576 0.00025 0.0 0.00025 0.00025 0.0015541904000000001 0.0015866637 0.0023056455 0.0023147496 0.009599385 0.009720516 0.0007559575999999999 0.0007565144
7 6 116.0 70.0 0.0 1519.0 1335.0 1519.0 1335.0 259.0 75.0 1519.0 1335.0 0.99954262000001 0.999724780000006 3.0 2.0 30.0 15.0 0.0 3.9316723786867582 3.931735929689909 5.269867767456892e-05 7.235250669185713e-06 3.9317219257354736 3.9317455291748047 3.9313907623291016 3.931711912155152 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.001739312 0.001755927 0.0026554922 0.0026373637 0.009864504 0.009641058000000001 0.00067749363 0.0007148395500000001
8 7 154.0 91.0 0.0 1673.0 1422.0 1673.0 1422.0 154.0 87.0 1673.0 1422.0 0.9993901600000132 0.9996386500000078 0.0 1.0 0.0 15.0 0.0 3.931619857486925 3.931701206025623 6.473394968283058e-05 5.099185273705093e-05 3.9316527843475337 3.93173623085022 3.931235074996948 3.931553602218628 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.0012083224 0.00282516 0.0019307991 0.0035993564000000003 0.009499238 0.009418896999999999 0.0006370891400000001 0.00070036505
9 8 188.0 159.0 0.0 1809.0 1693.0 1809.0 1693.0 136.0 271.0 1809.0 1693.0 0.9992555200000162 0.9993703600000136 0.0 5.0 0.0 55.0 0.0 3.931548202739042 3.931656876606728 7.783996401137547e-05 9.226522325134514e-05 3.9316082000732417 3.931716203689575 3.9312365055084233 3.9311599731445312 0.00025 0.0 0.00025 0.00025 0.0022799673 0.0017165048 0.0033626328000000002 0.0027771054 0.01030305 0.012550428999999998 0.0006125771299999999 0.00063557597
10 9 218.0 201.0 0.0 1927.0 1861.0 1927.0 1861.0 118.0 168.0 1927.0 1861.0 0.9991387000000188 0.9992040400000172 4.0 3.0 50.0 0.0 3.9314806302388514 3.93158137230646 0.00010239504684735038 0.00010474746316658029 3.931550741195679 3.93165135383606 3.931047201156616 3.931158781051636 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.0016353407000000001 0.0017799592 0.002778357 0.002852903 0.01035096 0.009889938000000001 0.0005981442500000001 0.0006321495
11 10 239.0 279.0 0.0 2013.0 2172.0 2013.0 2172.0 86.0 311.0 2013.0 2172.0 0.9990535600000204 0.998896150000024 1.0 4.0 25.0 65.0 0.0 3.9313772519429526 3.9314154325387416 0.00020685918056109227 0.00022279076273676361 3.931517362594605 3.931581258773804 3.9308536052703857 3.930070638656616 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.0034886056 0.0026444625 0.004297202 0.004101368 0.010684523999999999 0.019448647 0.00061402726 0.00062298455
12 11 285.0 407.0 0.0 2197.0 2683.0 2197.0 2683.0 184.0 511.0 2197.0 2683.0 0.9988714000000244 0.9983902600000351 5.0 9.0 75.0 320.0 0.0 3.9313522369965264 3.931240767240524 7.248832757213434e-05 0.00015854553450050932 3.931442975997925 3.931373834609986 3.931007385253906 3.9305694103240967 0.0002500000000000001 5.421010862427521e-20 1.0842021724855042e-19 0.00025 0.00025 0.0017790395999999998 0.0017362889000000002 0.0030002112 0.0029191163 0.011006265 0.011232911000000002 0.0006065490000000001 0.0005518816 0.024129094928503625 0.00904320207528025 0.04169573485851341 0.012993395328522341
13 12 309.0 424.0 0.0 2293.0 2754.0 2293.0 2754.0 96.0 71.0 2293.0 2754.0 0.9987763600000266 0.9983199700000364 2.0 1.0 15.0 0.0 3.931213736534119 3.9310134579153617 0.0002593847407516344 0.000358822446065362 3.93136215209961 3.9312620162963863 3.9304351806640634 3.93019700050354 0.00025 0.0 0.00025 0.00025 0.0028233638 0.0032191304 0.0041352687 0.0045680365999999995 0.011190076 0.011846525 0.0005888872 0.0005631294
14 13 353.0 457.0 0.0 2467.0 2886.0 2467.0 2886.0 174.0 132.0 2467.0 2886.0 0.9986041000000304 0.9981892900000392 2.0 35.0 25.0 0.0 3.9310338009487498 3.931020930409432 0.0002957116497356457 0.00018348520436412824 3.9312725067138667 3.93116307258606 3.929877519607544 3.9301931858062735 0.00025 0.0 0.00025 0.00025 0.0030289008 0.0016074966000000001 0.0042545744 0.002708108 0.012507513 0.012189938999999999 0.0006166726000000001 0.00064319023
15 14 406.0 504.0 0.0 2680.0 3074.0 2680.0 3074.0 213.0 188.0 2680.0 3074.0 0.9983932300000348 0.9980031700000432 3.0 60.0 35.0 0.0 3.930882449419993 3.931025738301485 0.00035235950786128846 0.00015399033015145469 3.9310703277587886 3.9311008453369136 3.929490327835083 3.9300034046173096 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.0028729883 0.0009836307000000001 0.004979132 0.0015528154999999999 0.022557117 0.011335916000000001 0.0007968402 0.0005281837 0.012837511921922923 0.021890531852842 0.022259134634650783 0.014466196029404797 0.040622540563345584 0.03762449622154298 -0.024907390773295932 -0.00010702610015811408
16 15 422.0 528.0 0.0 2745.0 3167.0 2745.0 3167.0 65.0 93.0 2745.0 3167.0 0.9983288800000364 0.9979111000000452 2.0 1.0 15.0 0.0 3.9306667894124985 3.931034368017445 0.0004889590223132316 6.681329033129075e-05 3.9309356212615967 3.9310910701751713 3.929192781448364 3.9308130741119385 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.003993525 0.0016258046 0.005016152 0.0031157003000000004 0.013677783 0.011724828999999999 0.00091032905 0.0004990724
17 16 442.0 598.0 0.0 2826.0 3449.0 2826.0 3449.0 81.0 282.0 2826.0 3449.0 0.998248690000038 0.9976319200000514 0.0 2.0 0.0 55.0 0.0 3.930476784706116 3.930865437643869 0.0005833675931495567 0.0002831683814269127 3.9308347702026367 3.9310925006866455 3.92863392829895 3.9296932220458975 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.0037356387 0.0021639192000000003 0.0048887976000000005 0.0036756303 0.014913436 0.012480825 0.00089475035 0.00047580682 0.0305326876540985 0.00923045073371262 0.0438561670482166 0.021990178897977525
18 17 501.0 668.0 0.0 3060.0 3729.0 3060.0 3729.0 234.0 280.0 3060.0 3729.0 0.9980170300000429 0.9973547200000574 4.0 35.0 45.0 0.0 3.9304699938176038 3.930601644515991 0.00041264778275723504 0.0003480949830888473 3.9306838512420654 3.9308652877807617 3.928467988967896 3.9292240142822266 0.00025 0.0 0.00025 0.00025 0.0030552953999999997 0.0027047140000000004 0.0041774893 0.0042121527 0.01554886 0.013903748 0.0010523795 0.0006515036 0.023353116586804973 0.029686454000572925 0.020788514387939237 0.01902240661079521 0.05141336545348224 0.058909925818443724 -0.0014774784445756026 -0.002814809605478502
19 18 526.0 738.0 0.0 3161.0 4008.0 3161.0 4008.0 101.0 279.0 3161.0 4008.0 0.9979170400000452 0.9970785100000634 1.0 3.0 20.0 45.0 0.0 3.9306457805633546 3.930277814183917 0.00023956495978218428 0.0005110864544539217 3.930816650390625 3.930636167526245 3.929875612258911 3.9281198978424072 0.00025 0.0 0.00025 0.00025 0.002464988 0.0036887865999999997 0.003725262 0.0051101656 0.013498537 0.02086526 0.00077633635 0.0008114038499999999
20 19 589.0 792.0 0.0 3413.0 4223.0 3413.0 4223.0 252.0 215.0 3413.0 4223.0 0.9976675600000506 0.9968656600000679 2.0 4.0 55.0 90.0 0.0 3.9304992774176224 3.930134093319928 0.00034951799503506604 0.00047399490243328624 3.9307899475097656 3.930522918701172 3.9290616512298575 3.9284942150115967 0.00025 0.0 0.00025 0.00025 0.0029548485999999997 0.0037553142999999997 0.0043363147 0.004891396 0.01425068 0.0151908295 0.0007409669 0.0010129308999999999 0.030484313207368687 0.012861465171913404 0.04339803867042122 0.011251759901643564
21 20 646.0 893.0 0.0 3642.0 4630.0 3642.0 4630.0 229.0 407.0 3642.0 4630.0 0.9974408500000556 0.9964627300000768 2.0 10.0 15.0 115.0 0.0 3.930309973264996 3.929736850285294 0.0005540508390044677 0.000766311293002325 3.930628061294556 3.930368661880493 3.928320169448853 3.926426649093628 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.0032555721999999996 0.004180377 0.004834081 0.006044741700000001 0.015668849 0.031209853 0.0008300698 0.0009457401 0.026904297930499418 0.0355303921426342 0.021589106230980433 0.014215304187277478 0.05910116657614764 0.05135452747345026 0.005408810079098325 0.012931596487761264
22 21 698.0 937.0 0.0 3849.0 4805.0 3849.0 4805.0 207.0 175.0 3849.0 4805.0 0.99723592000006 0.9962894800000806 4.0 1.0 50.0 5.0 0.0 3.929926037788391 3.930479177208834 0.0006353061160591977 0.00023689537153461093 3.9303271770477295 3.930684328079224 3.9271233081817623 3.929489135742188 0.00025 0.0 0.00025 0.00025 0.004353328 0.0021777323 0.006303993000000001 0.0034656142999999998 0.029395893 0.014414535 0.0010768827 0.00058991817 0.02748812679201423 0.0217088123519984 0.057050981000066316 0.0017140418291097805
23 22 738.0 1022.0 0.0 4010.0 5146.0 4010.0 5146.0 161.0 341.0 4010.0 5146.0 0.9970765300000636 0.995951890000088 4.0 3.0 90.0 65.0 0.0 3.92977910041809 3.93046441078186 0.0005514096791911278 0.00035790579075833815 3.930201768875122 3.9307262897491455 3.9283792972564697 3.929075956344605 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.004639727 0.0024591651999999998 0.005436519 0.0041425275 0.015939886 0.014986968 0.0013534969000000001 0.00047587089999999996
24 23 789.0 1120.0 0.0 4214.0 5538.0 4214.0 5538.0 204.0 392.0 4214.0 5538.0 0.996874570000068 0.9955638100000964 2.0 6.0 10.0 80.0 0.0 3.929426656049841 3.9300818811986864 0.0008124188909974342 0.0004955548155674863 3.929957151412964 3.930469751358032 3.925875425338745 3.928221464157105 0.00025 0.0002500000000000001 0.0 5.421010862427521e-20 0.00025 0.00025 0.005286702 0.0027119769 0.0059416015 0.0042804847 0.024375048 0.020022545 0.0017462726 0.00057932467 0.030502823988597175 0.035476823337376714 0.02342976988309637 0.014014476077534626 0.06656642369926036 0.04927191920578547 0.0004357606172566697 0.007030519843102157
25 24 854.0 1165.0 0.0 4474.0 5718.0 4474.0 5718.0 260.0 180.0 4474.0 5718.0 0.9966171700000734 0.9953856100001002 5.0 3.0 80.0 55.0 0.0 3.929753776697012 3.9300585714253513 0.0006802738781902477 0.00053408662096811 3.9303853511810303 3.9305152893066406 3.926770448684693 3.928401231765747 0.00025 0.0 0.00025 0.00025 0.0032921252 0.0033172776 0.004323490399999999 0.004863477299999999 0.018876718 0.016010353 0.0008184177999999999 0.0006072133999999999 0.030289770103991618 0.011228381833076877 0.046150057762861824 0.014975410327315919
26 25 901.0 1190.0 0.0 4662.0 5815.0 4662.0 5815.0 188.0 97.0 4662.0 5815.0 0.9964310500000776 0.9952895800001024 3.0 0.0 30.0 0.0 0.0 3.929939036673688 3.9299856324990587 0.0008579045062845213 0.0004047671393024133 3.9304828643798833 3.9302456378936768 3.926759004592896 3.9285967350006095 0.0002500000000000001 0.00025 5.421010862427521e-20 0.0 0.00025 0.00025 0.0043313909999999995 0.0030563176 0.0071201716 0.004401815999999999 0.033504024 0.016188376 0.0006334899 0.0011075826
26 969.0 0.0 4934.0 4934.0 272.0 4934.0 0.9961617700000832 1.0 5.0 0.0 3.929590607390684 0.0006133207352767329 3.930098295211792 3.927515745162964 0.00025 0.0 0.00025 0.00025 0.0038270776 0.005072999999999999 0.021740799999999998 0.0010850433
27 1028.0 0.0 5168.0 5168.0 234.0 5168.0 0.9959301100000884 3.0 30.0 0.0 3.930041709188688 0.0004330404189005426 3.9302978515625 3.927629232406616 0.00025 0.0 0.00025 0.00025 0.0031090009999999997 0.004790003 0.02229039 0.0008657125
28 1047.0 0.0 5245.0 5245.0 77.0 5245.0 0.99585388000009 2.0 45.0 0.0 3.9298872069308635 0.0005701280611071911 3.9302644729614262 3.9285831451416016 0.0002500000000000001 5.421010862427521e-20 0.00025 0.00025 0.0042041945 0.0059060673 0.016562391 0.0008514148599999999 0.03760540119061923 0.01643017217867538 0.05344712957739886 0.01295695789158402
29 1107.0 0.0 5486.0 5486.0 241.0 5486.0 0.9956152900000952 6.0 105.0 0.0 3.929187309741974 0.0007912253650240303 3.930028200149536 3.92718768119812 0.00025 0.0 0.00025 0.00025 0.0057351263 0.0060241455000000005 0.018669646 0.0012705077
30 1170.0 0.0 5738.0 5738.0 252.0 5738.0 0.9953658100001006 0.0 0.0 0.0 3.9288085188184474 0.0009372335274004561 3.929582357406616 3.926055908203125 0.00025 0.0 0.00025 0.00025 0.0061082826 0.006076769 0.019835133 0.001853791