|
{ |
|
"name": "root", |
|
"gauges": { |
|
"Pyramids.Policy.Entropy.mean": { |
|
"value": 0.38564544916152954, |
|
"min": 0.27187255024909973, |
|
"max": 1.5031646490097046, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Entropy.sum": { |
|
"value": 11520.0009765625, |
|
"min": 8143.126953125, |
|
"max": 45600.00390625, |
|
"count": 33 |
|
}, |
|
"Pyramids.Step.mean": { |
|
"value": 989913.0, |
|
"min": 29952.0, |
|
"max": 989913.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Step.sum": { |
|
"value": 989913.0, |
|
"min": 29952.0, |
|
"max": 989913.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
|
"value": 0.1571851372718811, |
|
"min": -0.09539750963449478, |
|
"max": 0.16879968345165253, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
|
"value": 39.610652923583984, |
|
"min": -22.990798950195312, |
|
"max": 42.36872100830078, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.mean": { |
|
"value": 0.00947884377092123, |
|
"min": 0.00947884377092123, |
|
"max": 0.23489780724048615, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.sum": { |
|
"value": 2.3886685371398926, |
|
"min": 2.3886685371398926, |
|
"max": 56.37547302246094, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.mean": { |
|
"value": 0.06642737323939193, |
|
"min": 0.06642737323939193, |
|
"max": 0.07907054559643789, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.sum": { |
|
"value": 0.9299832253514871, |
|
"min": 0.4980794015081584, |
|
"max": 1.056658653308884, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.ValueLoss.mean": { |
|
"value": 0.007760949017887957, |
|
"min": 8.361589949722398e-05, |
|
"max": 0.008563479950215539, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.ValueLoss.sum": { |
|
"value": 0.1086532862504314, |
|
"min": 0.0005853112964805679, |
|
"max": 0.1284521992532331, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.LearningRate.mean": { |
|
"value": 2.4361383278157136e-05, |
|
"min": 2.4361383278157136e-05, |
|
"max": 0.0009838354301878857, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.LearningRate.sum": { |
|
"value": 0.0003410593658941999, |
|
"min": 0.0003410593658941999, |
|
"max": 0.009681244331875598, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Epsilon.mean": { |
|
"value": 0.10243612857142857, |
|
"min": 0.10243612857142857, |
|
"max": 0.19838354285714285, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Epsilon.sum": { |
|
"value": 1.4341058, |
|
"min": 1.3271040000000003, |
|
"max": 2.3590986000000007, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Beta.mean": { |
|
"value": 3.411767285714286e-05, |
|
"min": 3.411767285714286e-05, |
|
"max": 0.0009839970742857144, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Beta.sum": { |
|
"value": 0.00047764742, |
|
"min": 0.00047764742, |
|
"max": 0.00971443156, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.RNDLoss.mean": { |
|
"value": 0.00956515409052372, |
|
"min": 0.00956515409052372, |
|
"max": 0.3370968699455261, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.RNDLoss.sum": { |
|
"value": 0.13391216099262238, |
|
"min": 0.13391216099262238, |
|
"max": 2.359678030014038, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.mean": { |
|
"value": 667.0869565217391, |
|
"min": 626.3653846153846, |
|
"max": 999.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.sum": { |
|
"value": 30686.0, |
|
"min": 15984.0, |
|
"max": 33092.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.mean": { |
|
"value": 0.46306518821612647, |
|
"min": -1.0000000521540642, |
|
"max": 0.6926278707592987, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.sum": { |
|
"value": 21.30099865794182, |
|
"min": -32.000001668930054, |
|
"max": 33.41519816964865, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.mean": { |
|
"value": 0.46306518821612647, |
|
"min": -1.0000000521540642, |
|
"max": 0.6926278707592987, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.sum": { |
|
"value": 21.30099865794182, |
|
"min": -32.000001668930054, |
|
"max": 33.41519816964865, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndReward.mean": { |
|
"value": 0.07198707936787167, |
|
"min": 0.07198707936787167, |
|
"max": 7.666629082988948, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndReward.sum": { |
|
"value": 3.3114056509220973, |
|
"min": 3.3114056509220973, |
|
"max": 122.66606532782316, |
|
"count": 33 |
|
}, |
|
"Pyramids.IsTraining.mean": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.IsTraining.sum": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 33 |
|
} |
|
}, |
|
"metadata": { |
|
"timer_format_version": "0.1.0", |
|
"start_time_seconds": "1679273641", |
|
"python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]", |
|
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics --force", |
|
"mlagents_version": "0.31.0.dev0", |
|
"mlagents_envs_version": "0.31.0.dev0", |
|
"communication_protocol_version": "1.5.0", |
|
"pytorch_version": "1.11.0+cu102", |
|
"numpy_version": "1.21.2", |
|
"end_time_seconds": "1679275898" |
|
}, |
|
"total": 2257.5557592080004, |
|
"count": 1, |
|
"self": 0.5337390979984775, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.11081395699875429, |
|
"count": 1, |
|
"self": 0.11081395699875429 |
|
}, |
|
"TrainerController.start_learning": { |
|
"total": 2256.911206153003, |
|
"count": 1, |
|
"self": 1.4002376198695856, |
|
"children": { |
|
"TrainerController._reset_env": { |
|
"total": 5.840849281001283, |
|
"count": 1, |
|
"self": 5.840849281001283 |
|
}, |
|
"TrainerController.advance": { |
|
"total": 2249.5775792731292, |
|
"count": 63194, |
|
"self": 1.4163245001145697, |
|
"children": { |
|
"env_step": { |
|
"total": 1272.4486386301141, |
|
"count": 63194, |
|
"self": 1160.49444786835, |
|
"children": { |
|
"SubprocessEnvManager._take_step": { |
|
"total": 111.10674973935602, |
|
"count": 63194, |
|
"self": 4.776577332759189, |
|
"children": { |
|
"TorchPolicy.evaluate": { |
|
"total": 106.33017240659683, |
|
"count": 62560, |
|
"self": 106.33017240659683 |
|
} |
|
} |
|
}, |
|
"workers": { |
|
"total": 0.8474410224080202, |
|
"count": 63194, |
|
"self": 0.0, |
|
"children": { |
|
"worker_root": { |
|
"total": 2252.7148664984234, |
|
"count": 63194, |
|
"is_parallel": true, |
|
"self": 1205.1513631624912, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.0, |
|
"count": 0, |
|
"is_parallel": true, |
|
"self": 0.0, |
|
"children": { |
|
"steps_from_proto": { |
|
"total": 0.0019403209989832249, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0006599309963348787, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0012803900026483461, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0012803900026483461 |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 0.047291327002312755, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0005638700022245757, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.00043040899981861003, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00043040899981861003 |
|
}, |
|
"communicator.exchange": { |
|
"total": 0.044643010001891525, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.044643010001891525 |
|
}, |
|
"steps_from_proto": { |
|
"total": 0.001654037998378044, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00037594499735860154, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0012780930010194425, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0012780930010194425 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 1047.5635033359322, |
|
"count": 63193, |
|
"is_parallel": true, |
|
"self": 30.986389484693063, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 22.86743579751419, |
|
"count": 63193, |
|
"is_parallel": true, |
|
"self": 22.86743579751419 |
|
}, |
|
"communicator.exchange": { |
|
"total": 902.3412987935262, |
|
"count": 63193, |
|
"is_parallel": true, |
|
"self": 902.3412987935262 |
|
}, |
|
"steps_from_proto": { |
|
"total": 91.36837926019871, |
|
"count": 63193, |
|
"is_parallel": true, |
|
"self": 19.27413905605863, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 72.09424020414008, |
|
"count": 505544, |
|
"is_parallel": true, |
|
"self": 72.09424020414008 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_advance": { |
|
"total": 975.7126161429005, |
|
"count": 63194, |
|
"self": 2.467557238484005, |
|
"children": { |
|
"process_trajectory": { |
|
"total": 118.7491632004967, |
|
"count": 63194, |
|
"self": 118.53083047349719, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.21833272699950612, |
|
"count": 2, |
|
"self": 0.21833272699950612 |
|
} |
|
} |
|
}, |
|
"_update_policy": { |
|
"total": 854.4958957039198, |
|
"count": 430, |
|
"self": 542.7714099712903, |
|
"children": { |
|
"TorchPPOOptimizer.update": { |
|
"total": 311.72448573262955, |
|
"count": 38125, |
|
"self": 311.72448573262955 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_threads": { |
|
"total": 1.1660013115033507e-06, |
|
"count": 1, |
|
"self": 1.1660013115033507e-06 |
|
}, |
|
"TrainerController._save_models": { |
|
"total": 0.09253881300173816, |
|
"count": 1, |
|
"self": 0.001796526001271559, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.0907422870004666, |
|
"count": 1, |
|
"self": 0.0907422870004666 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |