hadavid@hadavid-macbookpro:~/devel/worldmodelsexperiments/doomrnn$ python model.py doomreal norender log/doomrnn.c.16.64.best.json 0
filename log/doomrnn.cma.16.64.best.json
seed 0
model size 1088
making real doom environment
2018-06-01 11:20:52.138774: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
model using cpu
input dropout mode = False
output dropout mode = False
recurrent dropout mode = False
loading file log/doomrnn.cma.16.64.best.json
iteration 0 reward 713.0
iteration 1 reward 803.0
iteration 2 reward 362.0
iteration 3 reward 1193.0
iteration 4 reward 1521.0
iteration 5 reward 1059.0
iteration 6 reward 1541.0
iteration 7 reward 2100.0
iteration 8 reward 488.0
iteration 9 reward 1769.0
iteration 10 reward 1190.0
iteration 11 reward 901.0
iteration 12 reward 141.0
iteration 13 reward 2100.0
iteration 14 reward 679.0
iteration 15 reward 808.0
iteration 16 reward 2100.0
iteration 17 reward 1864.0
iteration 18 reward 1884.0
iteration 19 reward 549.0
iteration 20 reward 310.0
iteration 21 reward 146.0
iteration 22 reward 801.0
iteration 23 reward 366.0
iteration 24 reward 1284.0
iteration 25 reward 940.0
iteration 26 reward 2100.0
iteration 27 reward 1051.0
iteration 28 reward 798.0
iteration 29 reward 1106.0
iteration 30 reward 731.0
iteration 31 reward 480.0
iteration 32 reward 1676.0
iteration 33 reward 293.0
iteration 34 reward 964.0
iteration 35 reward 559.0
iteration 36 reward 1095.0
iteration 37 reward 569.0
iteration 38 reward 394.0
iteration 39 reward 1125.0
iteration 40 reward 597.0
iteration 41 reward 974.0
iteration 42 reward 1001.0
iteration 43 reward 661.0
iteration 44 reward 586.0
iteration 45 reward 797.0
iteration 46 reward 1299.0
iteration 47 reward 536.0
iteration 48 reward 701.0
iteration 49 reward 1026.0
iteration 50 reward 748.0
iteration 51 reward 2100.0
iteration 52 reward 2100.0
iteration 53 reward 933.0
iteration 54 reward 815.0
iteration 55 reward 494.0
iteration 56 reward 467.0
iteration 57 reward 1132.0
iteration 58 reward 2100.0
iteration 59 reward 1200.0
iteration 60 reward 1821.0
iteration 61 reward 1161.0
iteration 62 reward 2060.0
iteration 63 reward 603.0
iteration 64 reward 1608.0
iteration 65 reward 529.0
iteration 66 reward 1531.0
iteration 67 reward 488.0
iteration 68 reward 647.0
iteration 69 reward 736.0
iteration 70 reward 1169.0
iteration 71 reward 717.0
iteration 72 reward 212.0
iteration 73 reward 930.0
iteration 74 reward 1818.0
iteration 75 reward 834.0
iteration 76 reward 430.0
iteration 77 reward 254.0
iteration 78 reward 836.0
iteration 79 reward 909.0
iteration 80 reward 149.0
iteration 81 reward 275.0
iteration 82 reward 620.0
iteration 83 reward 1643.0
iteration 84 reward 468.0
iteration 85 reward 1169.0
iteration 86 reward 701.0
iteration 87 reward 576.0
iteration 88 reward 829.0
iteration 89 reward 1195.0
iteration 90 reward 1118.0
iteration 91 reward 834.0
iteration 92 reward 424.0
iteration 93 reward 1696.0
iteration 94 reward 607.0
iteration 95 reward 388.0
iteration 96 reward 704.0
iteration 97 reward 1773.0
iteration 98 reward 1509.0
iteration 99 reward 548.0
seed 0 average_reward 973.39 stdev 539.764706053