blackcodetavern's picture
Initial
ab6fcae verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.8432455062866211,
"min": 0.7748345732688904,
"max": 1.4863959550857544,
"count": 6
},
"Pyramids.Policy.Entropy.sum": {
"value": 25513.236328125,
"min": 23269.83203125,
"max": 45091.30859375,
"count": 6
},
"Pyramids.Step.mean": {
"value": 179904.0,
"min": 29952.0,
"max": 179904.0,
"count": 6
},
"Pyramids.Step.sum": {
"value": 179904.0,
"min": 29952.0,
"max": 179904.0,
"count": 6
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.08838693797588348,
"min": -0.08838693797588348,
"max": -0.008708351291716099,
"count": 6
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": -21.212865829467773,
"min": -21.212865829467773,
"max": -2.0638792514801025,
"count": 6
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.06572914123535156,
"min": 0.06572914123535156,
"max": 0.40303322672843933,
"count": 6
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 15.774993896484375,
"min": 15.774993896484375,
"max": 95.51887512207031,
"count": 6
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06883439517709176,
"min": 0.06859577133558689,
"max": 0.07118776443726743,
"count": 6
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.8948471373021929,
"min": 0.498314351060872,
"max": 0.9755370049420486,
"count": 6
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.001465718373879852,
"min": 0.0005050577106264193,
"max": 0.008113788669759352,
"count": 6
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.019054338860438075,
"min": 0.006565750238143451,
"max": 0.05679652068831546,
"count": 6
},
"Pyramids.Policy.LearningRate.mean": {
"value": 5.267846705592307e-05,
"min": 5.267846705592307e-05,
"max": 0.00027575315093942855,
"count": 6
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0006848200717269999,
"min": 0.0006848200717269999,
"max": 0.0022379914540029996,
"count": 6
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.11755946153846154,
"min": 0.11755946153846154,
"max": 0.19191771428571427,
"count": 6
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.528273,
"min": 1.343424,
"max": 2.0645485000000003,
"count": 6
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0017641902076923081,
"min": 0.0017641902076923081,
"max": 0.009192579657142857,
"count": 6
},
"Pyramids.Policy.Beta.sum": {
"value": 0.022934472700000007,
"min": 0.022934472700000007,
"max": 0.07464510029999999,
"count": 6
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.05767832323908806,
"min": 0.05767832323908806,
"max": 0.4827132821083069,
"count": 6
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.7498182058334351,
"min": 0.7498182058334351,
"max": 3.378993034362793,
"count": 6
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 998.5666666666667,
"min": 935.2857142857143,
"max": 999.0,
"count": 6
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29957.0,
"min": 15984.0,
"max": 32735.0,
"count": 6
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": -0.8703355337342908,
"min": -1.0000000521540642,
"max": -0.593194339956556,
"count": 6
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": -26.980401545763016,
"min": -29.79600165039301,
"max": -16.000000834465027,
"count": 6
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": -0.8703355337342908,
"min": -1.0000000521540642,
"max": -0.593194339956556,
"count": 6
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": -26.980401545763016,
"min": -29.79600165039301,
"max": -16.000000834465027,
"count": 6
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.5926603963298183,
"min": 0.5926603963298183,
"max": 10.024078987538815,
"count": 6
},
"Pyramids.Policy.RndReward.sum": {
"value": 18.372472286224365,
"min": 18.372472286224365,
"max": 160.38526380062103,
"count": 6
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 6
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 6
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1775901118",
"python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]",
"command_line_arguments": "/content/ml-agents/ml-agents/mlagents/trainers/learn.py ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics",
"mlagents_version": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.8.0+cu128",
"numpy_version": "1.23.5",
"end_time_seconds": "1775901577"
},
"total": 459.4837723989999,
"count": 1,
"self": 0.48144437699966147,
"children": {
"run_training.setup": {
"total": 0.022453537000274082,
"count": 1,
"self": 0.022453537000274082
},
"TrainerController.start_learning": {
"total": 458.979874485,
"count": 1,
"self": 0.34253719701155205,
"children": {
"TrainerController._reset_env": {
"total": 2.3143615670001054,
"count": 1,
"self": 2.3143615670001054
},
"TrainerController.advance": {
"total": 456.20926580898777,
"count": 12603,
"self": 0.33338913894840516,
"children": {
"env_step": {
"total": 317.0827324360289,
"count": 12603,
"self": 280.3740466449958,
"children": {
"SubprocessEnvManager._take_step": {
"total": 36.50708990202838,
"count": 12603,
"self": 1.0589017090055677,
"children": {
"TorchPolicy.evaluate": {
"total": 35.448188193022816,
"count": 12551,
"self": 35.448188193022816
}
}
},
"workers": {
"total": 0.20159588900469316,
"count": 12603,
"self": 0.0,
"children": {
"worker_root": {
"total": 457.54095455197466,
"count": 12603,
"is_parallel": true,
"self": 204.15030256198634,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0028410749996510276,
"count": 1,
"is_parallel": true,
"self": 0.0007043899991003855,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002136685000550642,
"count": 8,
"is_parallel": true,
"self": 0.002136685000550642
}
}
},
"UnityEnvironment.step": {
"total": 0.05452450300026612,
"count": 1,
"is_parallel": true,
"self": 0.0005860710002707492,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004668719998335291,
"count": 1,
"is_parallel": true,
"self": 0.0004668719998335291
},
"communicator.exchange": {
"total": 0.05167644399989513,
"count": 1,
"is_parallel": true,
"self": 0.05167644399989513
},
"steps_from_proto": {
"total": 0.0017951160002667166,
"count": 1,
"is_parallel": true,
"self": 0.0003673590008475003,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014277569994192163,
"count": 8,
"is_parallel": true,
"self": 0.0014277569994192163
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 253.39065198998833,
"count": 12602,
"is_parallel": true,
"self": 7.499947982949379,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 5.150102415992933,
"count": 12602,
"is_parallel": true,
"self": 5.150102415992933
},
"communicator.exchange": {
"total": 215.86857656501934,
"count": 12602,
"is_parallel": true,
"self": 215.86857656501934
},
"steps_from_proto": {
"total": 24.872025026026677,
"count": 12602,
"is_parallel": true,
"self": 5.28351131999716,
"children": {
"_process_rank_one_or_two_observation": {
"total": 19.588513706029516,
"count": 100816,
"is_parallel": true,
"self": 19.588513706029516
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 138.79314423401047,
"count": 12603,
"self": 0.5477806980270543,
"children": {
"process_trajectory": {
"total": 25.695744830981766,
"count": 12603,
"self": 25.695744830981766
},
"_update_policy": {
"total": 112.54961870500165,
"count": 77,
"self": 61.925967989993296,
"children": {
"TorchPPOOptimizer.update": {
"total": 50.62365071500835,
"count": 4557,
"self": 50.62365071500835
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0450003173900768e-06,
"count": 1,
"self": 1.0450003173900768e-06
},
"TrainerController._save_models": {
"total": 0.1137088670002413,
"count": 1,
"self": 0.0009950070002560096,
"children": {
"RLTrainer._checkpoint": {
"total": 0.11271385999998529,
"count": 1,
"self": 0.11271385999998529
}
}
}
}
}
}
}