poca-SoccerTwos / run_logs /timers.json
tbooy's picture
First Push
1d2bffb
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 1.9123687744140625,
"min": 1.8774681091308594,
"max": 3.2242424488067627,
"count": 493
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 38308.5703125,
"min": 14180.69921875,
"max": 124429.59375,
"count": 493
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 58.3855421686747,
"min": 54.943820224719104,
"max": 999.0,
"count": 493
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19384.0,
"min": 16104.0,
"max": 24596.0,
"count": 493
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1372.8669932692753,
"min": 1192.9103426843608,
"max": 1392.5011187589505,
"count": 485
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 227895.9208826997,
"min": 2388.4206331402074,
"max": 245610.9238120871,
"count": 485
},
"SoccerTwos.Step.mean": {
"value": 4999984.0,
"min": 79112.0,
"max": 4999984.0,
"count": 493
},
"SoccerTwos.Step.sum": {
"value": 4999984.0,
"min": 79112.0,
"max": 4999984.0,
"count": 493
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": -0.09002414345741272,
"min": -0.10943038761615753,
"max": 0.1673387885093689,
"count": 493
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": -14.944007873535156,
"min": -14.944007873535156,
"max": 20.917348861694336,
"count": 493
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.07998199760913849,
"min": -0.11329531669616699,
"max": 0.171206533908844,
"count": 493
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": -13.27701187133789,
"min": -13.935323715209961,
"max": 21.400815963745117,
"count": 493
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 493
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 493
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": -0.018074699913162785,
"min": -0.6666666666666666,
"max": 0.4322066605091095,
"count": 493
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": -3.000400185585022,
"min": -35.00219976902008,
"max": 37.17179989814758,
"count": 493
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": -0.018074699913162785,
"min": -0.6666666666666666,
"max": 0.4322066605091095,
"count": 493
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": -3.000400185585022,
"min": -35.00219976902008,
"max": 37.17179989814758,
"count": 493
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 493
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 493
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.02055310564658915,
"min": 0.012266975622818184,
"max": 0.02492520338467633,
"count": 233
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.02055310564658915,
"min": 0.012266975622818184,
"max": 0.02492520338467633,
"count": 233
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.08673620869716009,
"min": 2.337261319856528e-05,
"max": 1.2872340032209952,
"count": 233
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.08673620869716009,
"min": 2.337261319856528e-05,
"max": 1.2872340032209952,
"count": 233
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.0898023821413517,
"min": 2.3232295401006316e-05,
"max": 1.2751475647712747,
"count": 233
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.0898023821413517,
"min": 2.3232295401006316e-05,
"max": 1.2751475647712747,
"count": 233
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0007999999999999998,
"min": 0.0007999999999999998,
"max": 0.0007999999999999998,
"count": 233
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0007999999999999998,
"min": 0.0007999999999999998,
"max": 0.0007999999999999998,
"count": 233
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.21999999999999995,
"min": 0.21999999999999995,
"max": 0.21999999999999995,
"count": 233
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.21999999999999995,
"min": 0.21999999999999995,
"max": 0.21999999999999995,
"count": 233
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 233
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 233
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1692739489",
"python_version": "3.9.17 (main, Jul 5 2023, 20:47:11) [MSC v.1916 64 bit (AMD64)]",
"command_line_arguments": "\\\\?\\C:\\Users\\samhu\\miniconda3\\envs\\rl\\Scripts\\mlagents-learn C:\\Users\\samhu\\ml-agents\\config\\poca\\SoccerTwos.yaml --env=C:\\Users\\samhu\\ml-agents\\training-envs-executables\\SoccerTwos\\SoccerTwos.exe --run-id=SoccerTwos --no-graphics --resume",
"mlagents_version": "0.31.0.dev0",
"mlagents_envs_version": "0.31.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.0.1+cpu",
"numpy_version": "1.21.2",
"end_time_seconds": "1692757671"
},
"total": 18181.5845807,
"count": 1,
"self": 0.2699555999970471,
"children": {
"run_training.setup": {
"total": 0.10864470000000015,
"count": 1,
"self": 0.10864470000000015
},
"TrainerController.start_learning": {
"total": 18181.205980400002,
"count": 1,
"self": 8.610229700247146,
"children": {
"TrainerController._reset_env": {
"total": 4.082335999998474,
"count": 25,
"self": 4.082335999998474
},
"TrainerController.advance": {
"total": 18168.361519199756,
"count": 324336,
"self": 9.196891200001119,
"children": {
"env_step": {
"total": 5591.345340199718,
"count": 324336,
"self": 4281.60097519846,
"children": {
"SubprocessEnvManager._take_step": {
"total": 1304.3254270009868,
"count": 324336,
"self": 50.908457501403745,
"children": {
"TorchPolicy.evaluate": {
"total": 1253.416969499583,
"count": 627744,
"self": 1253.416969499583
}
}
},
"workers": {
"total": 5.418938000270669,
"count": 324336,
"self": 0.0,
"children": {
"worker_root": {
"total": 18167.195472299813,
"count": 324336,
"is_parallel": true,
"self": 14846.44364750013,
"children": {
"steps_from_proto": {
"total": 0.042164700001376065,
"count": 50,
"is_parallel": true,
"self": 0.008482499989827197,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.03368220001154887,
"count": 200,
"is_parallel": true,
"self": 0.03368220001154887
}
}
},
"UnityEnvironment.step": {
"total": 3320.709660099682,
"count": 324336,
"is_parallel": true,
"self": 181.34540769965633,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 153.2205647007215,
"count": 324336,
"is_parallel": true,
"self": 153.2205647007215
},
"communicator.exchange": {
"total": 2383.872800099558,
"count": 324336,
"is_parallel": true,
"self": 2383.872800099558
},
"steps_from_proto": {
"total": 602.2708875997464,
"count": 648672,
"is_parallel": true,
"self": 116.01162720037479,
"children": {
"_process_rank_one_or_two_observation": {
"total": 486.2592603993716,
"count": 2594688,
"is_parallel": true,
"self": 486.2592603993716
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 12567.819287800037,
"count": 324336,
"self": 69.29826950043753,
"children": {
"process_trajectory": {
"total": 1340.6933118995935,
"count": 324336,
"self": 1339.0690148995939,
"children": {
"RLTrainer._checkpoint": {
"total": 1.6242969999996149,
"count": 10,
"self": 1.6242969999996149
}
}
},
"_update_policy": {
"total": 11157.827706400007,
"count": 233,
"self": 1129.488850799975,
"children": {
"TorchPOCAOptimizer.update": {
"total": 10028.338855600032,
"count": 6990,
"self": 10028.338855600032
}
}
}
}
}
}
},
"trainer_threads": {
"total": 6.000009307172149e-07,
"count": 1,
"self": 6.000009307172149e-07
},
"TrainerController._save_models": {
"total": 0.15189489999829675,
"count": 1,
"self": 0.006843899998784764,
"children": {
"RLTrainer._checkpoint": {
"total": 0.145050999999512,
"count": 1,
"self": 0.145050999999512
}
}
}
}
}
}
}