poca-SoccerTwos / run_logs /timers.json
Alvaroooooooo's picture
First Push
601d36d verified
raw
history blame contribute delete
No virus
16.1 kB
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 1.3893719911575317,
"min": 1.3142842054367065,
"max": 3.2957184314727783,
"count": 5000
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 26809.322265625,
"min": 13305.94140625,
"max": 108471.578125,
"count": 5000
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 77.04761904761905,
"min": 40.80672268907563,
"max": 999.0,
"count": 5000
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19416.0,
"min": 11392.0,
"max": 27284.0,
"count": 5000
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1714.6409704990613,
"min": 1201.1052419150546,
"max": 1807.8276712266531,
"count": 4995
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 216044.7622828817,
"min": 2403.7631762290716,
"max": 408195.99652488984,
"count": 4995
},
"SoccerTwos.Step.mean": {
"value": 49999966.0,
"min": 9660.0,
"max": 49999966.0,
"count": 5000
},
"SoccerTwos.Step.sum": {
"value": 49999966.0,
"min": 9660.0,
"max": 49999966.0,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": -0.029774805530905724,
"min": -0.1556570827960968,
"max": 0.1988718956708908,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": -3.781400203704834,
"min": -28.991729736328125,
"max": 27.36277961730957,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.03141974285244942,
"min": -0.15766221284866333,
"max": 0.20520715415477753,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": -3.990307331085205,
"min": -28.88582992553711,
"max": 28.107894897460938,
"count": 5000
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 5000
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": 0.04843149504323644,
"min": -0.6419200003147125,
"max": 0.45369062572717667,
"count": 5000
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": 6.150799870491028,
"min": -70.13180029392242,
"max": 70.73759984970093,
"count": 5000
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": 0.04843149504323644,
"min": -0.6419200003147125,
"max": 0.45369062572717667,
"count": 5000
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": 6.150799870491028,
"min": -70.13180029392242,
"max": 70.73759984970093,
"count": 5000
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 5000
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 5000
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.018143918291510394,
"min": 0.009922826410426447,
"max": 0.02554864607033475,
"count": 2425
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.018143918291510394,
"min": 0.009922826410426447,
"max": 0.02554864607033475,
"count": 2425
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 0.09373655617237091,
"min": 6.120826656115241e-05,
"max": 0.13396765540043512,
"count": 2425
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 0.09373655617237091,
"min": 6.120826656115241e-05,
"max": 0.13396765540043512,
"count": 2425
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 0.09455043251315752,
"min": 6.1874367990337e-05,
"max": 0.138828357309103,
"count": 2425
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 0.09455043251315752,
"min": 6.1874367990337e-05,
"max": 0.138828357309103,
"count": 2425
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 2425
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 2425
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.20000000000000004,
"max": 0.20000000000000007,
"count": 2425
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.20000000000000004,
"max": 0.20000000000000007,
"count": 2425
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 2425
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005000000000000001,
"max": 0.005000000000000001,
"count": 2425
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1714942352",
"python_version": "3.10.12 | packaged by Anaconda, Inc. | (main, Jul 5 2023, 19:01:18) [MSC v.1916 64 bit (AMD64)]",
"command_line_arguments": "\\\\?\\C:\\Users\\atrav\\miniconda3\\envs\\rl\\Scripts\\mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos.exe --run-id=SoccerTwos --no-graphics --resume",
"mlagents_version": "1.1.0.dev0",
"mlagents_envs_version": "1.1.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.3.0+cpu",
"numpy_version": "1.23.5",
"end_time_seconds": "1715029630"
},
"total": 87276.21088499995,
"count": 1,
"self": 1.6518959999084473,
"children": {
"run_training.setup": {
"total": 0.06799280003178865,
"count": 1,
"self": 0.06799280003178865
},
"TrainerController.start_learning": {
"total": 87274.49099620001,
"count": 1,
"self": 50.33289753185818,
"children": {
"TrainerController._reset_env": {
"total": 5.911805799987633,
"count": 250,
"self": 5.911805799987633
},
"TrainerController.advance": {
"total": 87218.1514083682,
"count": 3451883,
"self": 50.763563348620664,
"children": {
"env_step": {
"total": 33222.27729442547,
"count": 3451883,
"self": 26075.429203671578,
"children": {
"SubprocessEnvManager._take_step": {
"total": 7116.492029864865,
"count": 3451883,
"self": 299.864226713893,
"children": {
"TorchPolicy.evaluate": {
"total": 6816.627803150972,
"count": 6278216,
"self": 6816.627803150972
}
}
},
"workers": {
"total": 30.356060889025684,
"count": 3451883,
"self": 0.0,
"children": {
"worker_root": {
"total": 87207.3750235365,
"count": 3451883,
"is_parallel": true,
"self": 66209.17641482054,
"children": {
"steps_from_proto": {
"total": 0.25718779978342354,
"count": 500,
"is_parallel": true,
"self": 0.052118699124548584,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.20506910065887496,
"count": 2000,
"is_parallel": true,
"self": 0.20506910065887496
}
}
},
"UnityEnvironment.step": {
"total": 20997.941420916177,
"count": 3451883,
"is_parallel": true,
"self": 1011.7608234718791,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 698.1777392585645,
"count": 3451883,
"is_parallel": true,
"self": 698.1777392585645
},
"communicator.exchange": {
"total": 16187.838479772618,
"count": 3451883,
"is_parallel": true,
"self": 16187.838479772618
},
"steps_from_proto": {
"total": 3100.1643784131156,
"count": 6903766,
"is_parallel": true,
"self": 616.0302985918242,
"children": {
"_process_rank_one_or_two_observation": {
"total": 2484.1340798212914,
"count": 27615064,
"is_parallel": true,
"self": 2484.1340798212914
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 53945.11055059411,
"count": 3451883,
"self": 395.8288890956319,
"children": {
"process_trajectory": {
"total": 7941.900074097153,
"count": 3451883,
"self": 7933.89577239682,
"children": {
"RLTrainer._checkpoint": {
"total": 8.004301700333599,
"count": 100,
"self": 8.004301700333599
}
}
},
"_update_policy": {
"total": 45607.38158740132,
"count": 2425,
"self": 4098.849527296261,
"children": {
"TorchPOCAOptimizer.update": {
"total": 41508.53206010506,
"count": 72756,
"self": 41508.53206010506
}
}
}
}
}
}
},
"trainer_threads": {
"total": 5.00003807246685e-07,
"count": 1,
"self": 5.00003807246685e-07
},
"TrainerController._save_models": {
"total": 0.094883999961894,
"count": 1,
"self": 0.017148499959148467,
"children": {
"RLTrainer._checkpoint": {
"total": 0.07773550000274554,
"count": 1,
"self": 0.07773550000274554
}
}
}
}
}
}
}