Outputs

50 episodes - 1000 steps max - desktop

{"episode": 0, "reward": -1798.7162, "steps count": 1000, "duration": 11} {"episode": 1, "reward": -1794.8162, "steps count": 1000, "duration": 32} {"episode": 2, "reward": -1387.7109, "steps count": 1000, "duration": 58} {"episode": 3, "reward": -42.5005, "steps count": 1000, "duration": 82} {"episode": 4, "reward": -48.2005, "steps count": 1000, "duration": 109} {"episode": 5, "reward": 1.2000, "steps count": 1000, "duration": 141} {"episode": 6, "reward": 8.8000, "steps count": 1000, "duration": 184} {"episode": 7, "reward": 6.9002, "steps count": 1000, "duration": 219} {"episode": 8, "reward": 16.5001, "steps count": 1000, "duration": 248} {"episode": 9, "reward": -2.6000, "steps count": 1000, "duration": 281} {"episode": 10, "reward": 3.0999, "steps count": 1000, "duration": 324} {"episode": 11, "reward": -34.7004, "steps count": 1000, "duration": 497} {"episode": 12, "reward": -15.7998, "steps count": 1000, "duration": 466} {"episode": 13, "reward": 6.9000, "steps count": 1000, "duration": 496} {"episode": 14, "reward": 6.3000, "steps count": 1000, "duration": 540} {"episode": 15, "reward": -2.6000, "steps count": 1000, "duration": 581} {"episode": 16, "reward": -33.0003, "steps count": 1000, "duration": 641} {"episode": 17, "reward": -36.8000, "steps count": 1000, "duration": 665} {"episode": 18, "reward": -10.1997, "steps count": 1000, "duration": 753} {"episode": 19, "reward": -88.1014, "steps count": 1000, "duration": 837} {"episode": 20, "reward": -57.5002, "steps count": 1000, "duration": 881} {"episode": 21, "reward": -17.7997, "steps count": 1000, "duration": 1159} {"episode": 22, "reward": -25.4000, "steps count": 1000, "duration": 1235} {"episode": 23, "reward": -104.4013, "steps count": 995, "duration": 1290} {"episode": 24, "reward": -268.6004, "steps count": 1000, "duration": 1322} {"episode": 25, "reward": -743.6052, "steps count": 1000, "duration": 1398} {"episode": 26, "reward": -821.5029, "steps count": 1000, "duration": 1427} {"episode": 27, "reward": -211.5993, "steps count": 1000, "duration": 1409} {"episode": 28, "reward": -276.1974, "steps count": 1000, "duration": 1463} {"episode": 29, "reward": -222.9980, "steps count": 1000, "duration": 1509} {"episode": 30, "reward": -298.9973, "steps count": 1000, "duration": 1560} {"episode": 31, "reward": -164.0011, "steps count": 1000, "duration": 1752} {"episode": 32, "reward": -221.0990, "steps count": 1000, "duration": 1807} {"episode": 33, "reward": -260.9996, "steps count": 1000, "duration": 1730} {"episode": 34, "reward": -420.5959, "steps count": 1000, "duration": 1767} {"episode": 35, "reward": -407.2964, "steps count": 1000, "duration": 1815} {"episode": 36, "reward": -291.2966, "steps count": 1000, "duration": 1870}

thread 'main' has overflowed its stack fatal runtime error: stack overflow, aborting error: Recipe trainbot was terminated on line 24 by signal 6

50 episodes - 700 steps max - desktop

const MEMORY_SIZE: usize = 4096; const DENSE_SIZE: usize = 128; const EPS_DECAY: f64 = 1000.0; const EPS_START: f64 = 0.9; const EPS_END: f64 = 0.05;

Entraînement {"episode": 0, "reward": -862.8993, "steps count": 700, "duration": 6} {"episode": 1, "reward": -418.8971, "steps count": 700, "duration": 13} {"episode": 2, "reward": -64.9999, "steps count": 453, "duration": 14} {"episode": 3, "reward": -142.8002, "steps count": 700, "duration": 31} {"episode": 4, "reward": -74.4004, "steps count": 700, "duration": 45} {"episode": 5, "reward": -40.2002, "steps count": 700, "duration": 58} {"episode": 6, "reward": -21.1998, "steps count": 700, "duration": 70} {"episode": 7, "reward": 99.7000, "steps count": 642, "duration": 79} {"episode": 8, "reward": -5.9999, "steps count": 700, "duration": 99} {"episode": 9, "reward": -7.8999, "steps count": 700, "duration": 118} {"episode": 10, "reward": 92.5000, "steps count": 624, "duration": 117} {"episode": 11, "reward": -17.1998, "steps count": 700, "duration": 144} {"episode": 12, "reward": 1.7000, "steps count": 700, "duration": 157} {"episode": 13, "reward": -7.9000, "steps count": 700, "duration": 172} {"episode": 14, "reward": -7.9000, "steps count": 700, "duration": 196} {"episode": 15, "reward": -2.8000, "steps count": 700, "duration": 214} {"episode": 16, "reward": 16.8002, "steps count": 700, "duration": 250} {"episode": 17, "reward": -47.7001, "steps count": 700, "duration": 272} k{"episode": 18, "reward": -13.6000, "steps count": 700, "duration": 288} {"episode": 19, "reward": -79.9002, "steps count": 700, "duration": 304} {"episode": 20, "reward": -355.5985, "steps count": 700, "duration": 317} {"episode": 21, "reward": -205.5001, "steps count": 700, "duration": 333} {"episode": 22, "reward": -207.3974, "steps count": 700, "duration": 348} {"episode": 23, "reward": -161.7999, "steps count": 700, "duration": 367}

const MEMORY_SIZE: usize = 8192; const DENSE_SIZE: usize = 128; const EPS_DECAY: f64 = 10000.0; const EPS_START: f64 = 0.9; const EPS_END: f64 = 0.05;

Entraînement {"episode": 0, "reward": -1119.9921, "steps count": 700, "duration": 6} {"episode": 1, "reward": -928.6963, "steps count": 700, "duration": 13} {"episode": 2, "reward": -364.5009, "steps count": 380, "duration": 11} {"episode": 3, "reward": -797.5981, "steps count": 700, "duration": 28} {"episode": 4, "reward": -577.5994, "steps count": 599, "duration": 34} {"episode": 5, "reward": -725.2992, "steps count": 700, "duration": 49} {"episode": 6, "reward": -638.8995, "steps count": 700, "duration": 59} {"episode": 7, "reward": -1039.1932, "steps count": 700, "duration": 73} field invalid : White, 3, Board { positions: [13, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, -2, 0, -11] }

thread 'main' panicked at store/src/game.rs:556:65: called Result::unwrap() on an Err value: FieldInvalid note: run with RUST_BACKTRACE=1 environment variable to display a backtrace error: Recipe trainbot failed on line 27 with exit code 101

[allow(unused)]

const MEMORY_SIZE: usize = 8192; const DENSE_SIZE: usize = 256; const EPS_DECAY: f64 = 10000.0; const EPS_START: f64 = 0.9; const EPS_END: f64 = 0.05;

Entraînement {"episode": 0, "reward": -1102.6925, "steps count": 700, "duration": 9} field invalid : White, 6, Board { positions: [14, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1, -1, 0, 0, -13] }

const MEMORY_SIZE: usize = 8192; const DENSE_SIZE: usize = 256; const EPS_DECAY: f64 = 1000.0; const EPS_START: f64 = 0.9; const EPS_END: f64 = 0.05;

Entraînement {"episode": 0, "reward": -1116.2921, "steps count": 700, "duration": 9} {"episode": 1, "reward": -1116.2922, "steps count": 700, "duration": 18} {"episode": 2, "reward": -1119.9921, "steps count": 700, "duration": 29} {"episode": 3, "reward": -1089.1927, "steps count": 700, "duration": 41} {"episode": 4, "reward": -1116.2921, "steps count": 700, "duration": 53} {"episode": 5, "reward": -684.8043, "steps count": 700, "duration": 66} {"episode": 6, "reward": 0.3000, "steps count": 700, "duration": 80} {"episode": 7, "reward": 2.0000, "steps count": 700, "duration": 96} {"episode": 8, "reward": 30.9001, "steps count": 700, "duration": 112} {"episode": 9, "reward": 0.3000, "steps count": 700, "duration": 128} {"episode": 10, "reward": 0.3000, "steps count": 700, "duration": 141} {"episode": 11, "reward": 8.8000, "steps count": 700, "duration": 155} {"episode": 12, "reward": 7.1000, "steps count": 700, "duration": 169} {"episode": 13, "reward": 17.3001, "steps count": 700, "duration": 190} {"episode": 14, "reward": -107.9005, "steps count": 700, "duration": 210} {"episode": 15, "reward": 7.1001, "steps count": 700, "duration": 236} {"episode": 16, "reward": 17.3001, "steps count": 700, "duration": 268} {"episode": 17, "reward": 7.1000, "steps count": 700, "duration": 283} {"episode": 18, "reward": -5.9000, "steps count": 700, "duration": 300} {"episode": 19, "reward": -36.8009, "steps count": 700, "duration": 316} {"episode": 20, "reward": 19.0001, "steps count": 700, "duration": 332} {"episode": 21, "reward": 113.3000, "steps count": 461, "duration": 227} field invalid : White, 1, Board { positions: [0, 2, 2, 0, 2, 4, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3, -7, -2, -1, 0, -1, -1] }

num_episodes: 50, // memory_size: 8192, // must be set in dqn_model.rs with the MEMORY_SIZE constant // max_steps: 700, // must be set in environment.rs with the MAX_STEPS constant dense_size: 256, // neural network complexity eps_start: 0.9, // epsilon initial value (0.9 => more exploration) eps_end: 0.05, eps_decay: 1000.0,

Entraînement {"episode": 0, "reward": -1118.8921, "steps count": 700, "duration": 9} {"episode": 1, "reward": -1119.9921, "steps count": 700, "duration": 17} {"episode": 2, "reward": -1118.8921, "steps count": 700, "duration": 28} {"episode": 3, "reward": -283.5977, "steps count": 700, "duration": 41} {"episode": 4, "reward": -23.4998, "steps count": 700, "duration": 54} {"episode": 5, "reward": -31.9999, "steps count": 700, "duration": 68} {"episode": 6, "reward": 2.0000, "steps count": 700, "duration": 82} {"episode": 7, "reward": 109.3000, "steps count": 192, "duration": 26} {"episode": 8, "reward": -4.8000, "steps count": 700, "duration": 102} {"episode": 9, "reward": 15.6001, "steps count": 700, "duration": 124} {"episode": 10, "reward": 15.6002, "steps count": 700, "duration": 144} {"episode": 11, "reward": -65.7008, "steps count": 700, "duration": 162} {"episode": 12, "reward": 19.0002, "steps count": 700, "duration": 182} {"episode": 13, "reward": 20.7001, "steps count": 700, "duration": 197} {"episode": 14, "reward": 12.2002, "steps count": 700, "duration": 229} {"episode": 15, "reward": -32.0007, "steps count": 700, "duration": 242} {"episode": 16, "reward": 10.5000, "steps count": 700, "duration": 287} {"episode": 17, "reward": 24.1001, "steps count": 700, "duration": 318} {"episode": 18, "reward": 25.8002, "steps count": 700, "duration": 335} {"episode": 19, "reward": 29.2001, "steps count": 700, "duration": 367} {"episode": 20, "reward": 9.1000, "steps count": 700, "duration": 366} {"episode": 21, "reward": 3.7001, "steps count": 700, "duration": 398} {"episode": 22, "reward": 10.5000, "steps count": 700, "duration": 417} {"episode": 23, "reward": 10.5000, "steps count": 700, "duration": 438} {"episode": 24, "reward": 13.9000, "steps count": 700, "duration": 444} {"episode": 25, "reward": 7.1000, "steps count": 700, "duration": 486} {"episode": 26, "reward": 12.2001, "steps count": 700, "duration": 499} {"episode": 27, "reward": 8.8001, "steps count": 700, "duration": 554} {"episode": 28, "reward": -6.5000, "steps count": 700, "duration": 608} {"episode": 29, "reward": -3.1000, "steps count": 700, "duration": 633} {"episode": 30, "reward": -32.0001, "steps count": 700, "duration": 696} {"episode": 31, "reward": 22.4002, "steps count": 700, "duration": 843} {"episode": 32, "reward": -77.9004, "steps count": 700, "duration": 817} {"episode": 33, "reward": -368.5993, "steps count": 700, "duration": 827} {"episode": 34, "reward": -254.6986, "steps count": 700, "duration": 852} {"episode": 35, "reward": -433.1992, "steps count": 700, "duration": 884} {"episode": 36, "reward": -521.6010, "steps count": 700, "duration": 905} {"episode": 37, "reward": -71.1004, "steps count": 700, "duration": 930} {"episode": 38, "reward": -251.0004, "steps count": 700, "duration": 956} {"episode": 39, "reward": -594.7045, "steps count": 700, "duration": 982} {"episode": 40, "reward": -154.4001, "steps count": 700, "duration": 1008} {"episode": 41, "reward": -171.3994, "steps count": 700, "duration": 1033} {"episode": 42, "reward": -118.7004, "steps count": 700, "duration": 1059} {"episode": 43, "reward": -137.4003, "steps count": 700, "duration": 1087}

thread 'main' has overflowed its stack fatal runtime error: stack overflow, aborting error: Recipe trainbot was terminated on line 27 by signal 6

num_episodes: 40, // memory_size: 8192, // must be set in dqn_model.rs with the MEMORY_SIZE constant // max_steps: 1500, // must be set in environment.rs with the MAX_STEPS constant dense_size: 256, // neural network complexity eps_start: 0.9, // epsilon initial value (0.9 => more exploration) eps_end: 0.05, eps_decay: 1000.0,

Entraînement {"episode": 0, "reward": -2399.9993, "steps count": 1500, "duration": 31} {"episode": 1, "reward": -2061.6736, "steps count": 1500, "duration": 81} {"episode": 2, "reward": -48.9010, "steps count": 1500, "duration": 145} {"episode": 3, "reward": 3.8000, "steps count": 1500, "duration": 215} {"episode": 4, "reward": -6.3999, "steps count": 1500, "duration": 302} {"episode": 5, "reward": 20.8004, "steps count": 1500, "duration": 374} {"episode": 6, "reward": 49.6992, "steps count": 1500, "duration": 469} {"episode": 7, "reward": 29.3002, "steps count": 1500, "duration": 597} {"episode": 8, "reward": 34.3999, "steps count": 1500, "duration": 710} {"episode": 9, "reward": 115.3003, "steps count": 966, "duration": 515} {"episode": 10, "reward": 25.9004, "steps count": 1500, "duration": 852} {"episode": 11, "reward": -122.0007, "steps count": 1500, "duration": 1017} {"episode": 12, "reward": -274.9966, "steps count": 1500, "duration": 1073} {"episode": 13, "reward": 54.8994, "steps count": 651, "duration": 518} {"episode": 14, "reward": -439.8978, "steps count": 1500, "duration": 1244} {"episode": 15, "reward": -506.1997, "steps count": 1500, "duration": 1676} {"episode": 16, "reward": -829.5031, "steps count": 1500, "duration": 1855} {"episode": 17, "reward": -545.2961, "steps count": 1500, "duration": 1892} {"episode": 18, "reward": -795.2026, "steps count": 1500, "duration": 2008} {"episode": 19, "reward": -637.1031, "steps count": 1500, "duration": 2124} {"episode": 20, "reward": -989.6997, "steps count": 1500, "duration": 2241}

thread 'main' has overflowed its stack fatal runtime error: stack overflow, aborting error: Recipe trainbot was terminated on line 27 by signal 6

num_episodes: 40, // memory_size: 8192, // must be set in dqn_model.rs with the MEMORY_SIZE constant // max_steps: 1000, // must be set in environment.rs with the MAX_STEPS constant dense_size: 256, // neural network complexity eps_start: 0.9, // epsilon initial value (0.9 => more exploration) eps_end: 0.05, eps_decay: 10000.0,

Entraînement {"episode": 0, "reward": -1598.8848, "steps count": 1000, "duration": 16} {"episode": 1, "reward": -1531.9866, "steps count": 1000, "duration": 34} {"episode": 2, "reward": -515.6000, "steps count": 530, "duration": 25} {"episode": 3, "reward": -396.1008, "steps count": 441, "duration": 27} {"episode": 4, "reward": -540.6996, "steps count": 605, "duration": 43} {"episode": 5, "reward": -976.0975, "steps count": 1000, "duration": 89} {"episode": 6, "reward": -1014.2944, "steps count": 1000, "duration": 117} {"episode": 7, "reward": -806.7012, "steps count": 1000, "duration": 140} {"episode": 8, "reward": -1276.6891, "steps count": 1000, "duration": 166} {"episode": 9, "reward": -1554.3855, "steps count": 1000, "duration": 197} {"episode": 10, "reward": -1178.3925, "steps count": 1000, "duration": 219} {"episode": 11, "reward": -1457.4869, "steps count": 1000, "duration": 258} {"episode": 12, "reward": -1475.8882, "steps count": 1000, "duration": 291}

Entraînement {"episode": 0, "reward": -1598.8848, "steps count": 1000, "duration": 15} {"episode": 1, "reward": -1599.9847, "steps count": 1000, "duration": 33} {"episode": 2, "reward": -751.7018, "steps count": 1000, "duration": 57} {"episode": 3, "reward": -402.8979, "steps count": 1000, "duration": 81} {"episode": 4, "reward": -289.2985, "steps count": 1000, "duration": 108} {"episode": 5, "reward": -231.4988, "steps count": 1000, "duration": 140} {"episode": 6, "reward": -138.0006, "steps count": 1000, "duration": 165} {"episode": 7, "reward": -145.0998, "steps count": 1000, "duration": 200} {"episode": 8, "reward": -60.4005, "steps count": 1000, "duration": 236} {"episode": 9, "reward": -35.7999, "steps count": 1000, "duration": 276} {"episode": 10, "reward": -42.2002, "steps count": 1000, "duration": 313} {"episode": 11, "reward": 69.0002, "steps count": 874, "duration": 300} {"episode": 12, "reward": 93.2000, "steps count": 421, "duration": 153} {"episode": 13, "reward": -324.9010, "steps count": 866, "duration": 364} {"episode": 14, "reward": -1331.3883, "steps count": 1000, "duration": 478} {"episode": 15, "reward": -1544.5859, "steps count": 1000, "duration": 514} {"episode": 16, "reward": -1599.9847, "steps count": 1000, "duration": 552}

Nouveaux points...

Entraînement {"episode": 0, "reward": -1798.1161, "steps count": 1000, "duration": 15} {"episode": 1, "reward": -1800.0162, "steps count": 1000, "duration": 34} {"episode": 2, "reward": -1718.6151, "steps count": 1000, "duration": 57} {"episode": 3, "reward": -1369.5055, "steps count": 1000, "duration": 82} {"episode": 4, "reward": -321.5974, "steps count": 1000, "duration": 115} {"episode": 5, "reward": -213.2988, "steps count": 1000, "duration": 148} {"episode": 6, "reward": -175.4995, "steps count": 1000, "duration": 172} {"episode": 7, "reward": -126.1011, "steps count": 1000, "duration": 203} {"episode": 8, "reward": -105.1011, "steps count": 1000, "duration": 242} {"episode": 9, "reward": -46.3007, "steps count": 1000, "duration": 281} {"episode": 10, "reward": -57.7006, "steps count": 1000, "duration": 323} {"episode": 11, "reward": -15.7997, "steps count": 1000, "duration": 354} {"episode": 12, "reward": -38.6999, "steps count": 1000, "duration": 414} {"episode": 13, "reward": 10.7002, "steps count": 1000, "duration": 513} {"episode": 14, "reward": -10.1999, "steps count": 1000, "duration": 585} {"episode": 15, "reward": -8.3000, "steps count": 1000, "duration": 644} {"episode": 16, "reward": -463.4984, "steps count": 973, "duration": 588} {"episode": 17, "reward": -148.8951, "steps count": 1000, "duration": 646} {"episode": 18, "reward": 3.0999, "steps count": 1000, "duration": 676} {"episode": 19, "reward": -12.0999, "steps count": 1000, "duration": 753} {"episode": 20, "reward": 6.9000, "steps count": 1000, "duration": 801} {"episode": 21, "reward": 14.5001, "steps count": 1000, "duration": 850} {"episode": 22, "reward": -19.6999, "steps count": 1000, "duration": 937} {"episode": 23, "reward": 83.0000, "steps count": 456, "duration": 532} {"episode": 24, "reward": -13.9998, "steps count": 1000, "duration": 1236} {"episode": 25, "reward": 25.9003, "steps count": 1000, "duration": 1264} {"episode": 26, "reward": 1.2002, "steps count": 1000, "duration": 1349} {"episode": 27, "reward": 3.1000, "steps count": 1000, "duration": 1364} {"episode": 28, "reward": -6.4000, "steps count": 1000, "duration": 1392} {"episode": 29, "reward": -4.4998, "steps count": 1000, "duration": 1444} {"episode": 30, "reward": 3.1000, "steps count": 1000, "duration": 1611}

thread 'main' has overflowed its stack fatal runtime error: stack overflow, aborting

num_episodes: 40, // memory_size: 8192, // must be set in dqn_model.rs with the MEMORY_SIZE constant // max_steps: 700, // must be set in environment.rs with the MAX_STEPS constant dense_size: 256, // neural network complexity eps_start: 0.9, // epsilon initial value (0.9 => more exploration) eps_end: 0.05, eps_decay: 3000.0,

{"episode": 0, "reward": -1256.1014, "steps count": 700, "duration": 9} {"episode": 1, "reward": -1256.1013, "steps count": 700, "duration": 20} {"episode": 2, "reward": -1256.1014, "steps count": 700, "duration": 31} {"episode": 3, "reward": -1258.7015, "steps count": 700, "duration": 44} {"episode": 4, "reward": -1206.8009, "steps count": 700, "duration": 56} {"episode": 5, "reward": -473.2974, "steps count": 700, "duration": 68} {"episode": 6, "reward": -285.2984, "steps count": 700, "duration": 82} {"episode": 7, "reward": -332.6987, "steps count": 700, "duration": 103} {"episode": 8, "reward": -359.2984, "steps count": 700, "duration": 114} {"episode": 9, "reward": -118.7008, "steps count": 700, "duration": 125} {"episode": 10, "reward": -83.9004, "steps count": 700, "duration": 144} {"episode": 11, "reward": -68.7006, "steps count": 700, "duration": 165} {"episode": 12, "reward": -49.7002, "steps count": 700, "duration": 180} {"episode": 13, "reward": -68.7002, "steps count": 700, "duration": 204} {"episode": 14, "reward": -38.3001, "steps count": 700, "duration": 223} {"episode": 15, "reward": -19.2999, "steps count": 700, "duration": 240} {"episode": 16, "reward": -19.1998, "steps count": 700, "duration": 254} {"episode": 17, "reward": -21.1999, "steps count": 700, "duration": 250} {"episode": 18, "reward": -26.8998, "steps count": 700, "duration": 280} {"episode": 19, "reward": -11.6999, "steps count": 700, "duration": 301} {"episode": 20, "reward": -13.5998, "steps count": 700, "duration": 317} {"episode": 21, "reward": 5.4000, "steps count": 700, "duration": 334} {"episode": 22, "reward": 3.5000, "steps count": 700, "duration": 353} {"episode": 23, "reward": 13.0000, "steps count": 700, "duration": 374} {"episode": 24, "reward": 7.3001, "steps count": 700, "duration": 391} {"episode": 25, "reward": -4.1000, "steps count": 700, "duration": 408} {"episode": 26, "reward": -17.3998, "steps count": 700, "duration": 437} {"episode": 27, "reward": 11.1001, "steps count": 700, "duration": 480} {"episode": 28, "reward": -4.1000, "steps count": 700, "duration": 505} {"episode": 29, "reward": -13.5999, "steps count": 700, "duration": 522} {"episode": 30, "reward": -0.3000, "steps count": 700, "duration": 540} {"episode": 31, "reward": -15.4998, "steps count": 700, "duration": 572} {"episode": 32, "reward": 14.9001, "steps count": 700, "duration": 630} {"episode": 33, "reward": -4.1000, "steps count": 700, "duration": 729} {"episode": 34, "reward": 5.4000, "steps count": 700, "duration": 777} {"episode": 35, "reward": 7.3000, "steps count": 700, "duration": 748} {"episode": 36, "reward": 9.2001, "steps count": 700, "duration": 767} {"episode": 37, "reward": 13.0001, "steps count": 700, "duration": 791} {"episode": 38, "reward": -13.5999, "steps count": 700, "duration": 813} {"episode": 39, "reward": 26.3002, "steps count": 700, "duration": 838}

Sauvegarde du modèle de validation Modèle de validation sauvegardé : models/burn_dqn_50_model.mpk Chargement du modèle pour test Chargement du modèle depuis : models/burn_dqn_50_model.mpk Test avec le modèle chargé Episode terminé. Récompense totale: 70.00, Étapes: 700

24 KiB Raw Blame History

Outputs

50 episodes - 1000 steps max - desktop

50 episodes - 700 steps max - desktop

[allow(unused)]

24 KiB

Raw Blame History