|
{ |
|
"name": "root", |
|
"gauges": { |
|
"Pyramids.Policy.Entropy.mean": { |
|
"value": 0.3323443830013275, |
|
"min": 0.3323443830013275, |
|
"max": 0.9277193546295166, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.Entropy.sum": { |
|
"value": 9848.0283203125, |
|
"min": 9848.0283203125, |
|
"max": 27401.119140625, |
|
"count": 25 |
|
}, |
|
"Pyramids.Step.mean": { |
|
"value": 989993.0, |
|
"min": 269987.0, |
|
"max": 989993.0, |
|
"count": 25 |
|
}, |
|
"Pyramids.Step.sum": { |
|
"value": 989993.0, |
|
"min": 269987.0, |
|
"max": 989993.0, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
|
"value": 0.5659830570220947, |
|
"min": 0.0358235202729702, |
|
"max": 0.6446145176887512, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
|
"value": 158.47525024414062, |
|
"min": 3.940587282180786, |
|
"max": 183.07052612304688, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.mean": { |
|
"value": 0.012129790149629116, |
|
"min": 0.003952191676944494, |
|
"max": 0.06148092821240425, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.sum": { |
|
"value": 3.396341323852539, |
|
"min": 1.098709225654602, |
|
"max": 11.747032165527344, |
|
"count": 25 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.mean": { |
|
"value": 0.06921870409719512, |
|
"min": 0.06513417597161605, |
|
"max": 0.07468809912888418, |
|
"count": 25 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.sum": { |
|
"value": 1.0382805614579267, |
|
"min": 0.35910715823411005, |
|
"max": 1.0456333878043784, |
|
"count": 25 |
|
}, |
|
"Pyramids.Losses.ValueLoss.mean": { |
|
"value": 0.017415203904566426, |
|
"min": 0.004488226002461231, |
|
"max": 0.017415203904566426, |
|
"count": 25 |
|
}, |
|
"Pyramids.Losses.ValueLoss.sum": { |
|
"value": 0.2612280585684964, |
|
"min": 0.027312128574218757, |
|
"max": 0.2612280585684964, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.LearningRate.mean": { |
|
"value": 1.2518730829606664e-05, |
|
"min": 1.2518730829606664e-05, |
|
"max": 0.00036770342645932005, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.LearningRate.sum": { |
|
"value": 0.00018778096244409994, |
|
"min": 0.00018778096244409994, |
|
"max": 0.004912830517433998, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.Epsilon.mean": { |
|
"value": 0.10250372666666667, |
|
"min": 0.10250372666666667, |
|
"max": 0.17354068, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.Epsilon.sum": { |
|
"value": 1.5375559, |
|
"min": 0.8677034, |
|
"max": 2.4825660000000003, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.Beta.mean": { |
|
"value": 0.0002601222939999999, |
|
"min": 0.0002601222939999999, |
|
"max": 0.007356713932000001, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.Beta.sum": { |
|
"value": 0.0039018344099999987, |
|
"min": 0.0039018344099999987, |
|
"max": 0.09830834340000001, |
|
"count": 25 |
|
}, |
|
"Pyramids.Losses.RNDLoss.mean": { |
|
"value": 0.01728876680135727, |
|
"min": 0.017119331285357475, |
|
"max": 0.05122077465057373, |
|
"count": 25 |
|
}, |
|
"Pyramids.Losses.RNDLoss.sum": { |
|
"value": 0.25933149456977844, |
|
"min": 0.23967064917087555, |
|
"max": 0.5879389047622681, |
|
"count": 25 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.mean": { |
|
"value": 318.4891304347826, |
|
"min": 305.6458333333333, |
|
"max": 840.8048780487804, |
|
"count": 25 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.sum": { |
|
"value": 29301.0, |
|
"min": 2836.0, |
|
"max": 34473.0, |
|
"count": 25 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.mean": { |
|
"value": 1.5727804158206866, |
|
"min": -0.20727321650923752, |
|
"max": 1.6943541465637584, |
|
"count": 25 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.sum": { |
|
"value": 144.69579825550318, |
|
"min": -8.498201876878738, |
|
"max": 162.6579980701208, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.mean": { |
|
"value": 1.5727804158206866, |
|
"min": -0.20727321650923752, |
|
"max": 1.6943541465637584, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.sum": { |
|
"value": 144.69579825550318, |
|
"min": -8.498201876878738, |
|
"max": 162.6579980701208, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.RndReward.mean": { |
|
"value": 0.057363812205079266, |
|
"min": 0.054105166086173995, |
|
"max": 0.40900284373882884, |
|
"count": 25 |
|
}, |
|
"Pyramids.Policy.RndReward.sum": { |
|
"value": 5.277470722867292, |
|
"min": 1.527510574203916, |
|
"max": 16.769116593291983, |
|
"count": 25 |
|
}, |
|
"Pyramids.IsTraining.mean": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 25 |
|
}, |
|
"Pyramids.IsTraining.sum": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 25 |
|
} |
|
}, |
|
"metadata": { |
|
"timer_format_version": "0.1.0", |
|
"start_time_seconds": "1717229904", |
|
"python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]", |
|
"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 --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+cu121", |
|
"numpy_version": "1.23.5", |
|
"end_time_seconds": "1717231682" |
|
}, |
|
"total": 1778.106262463, |
|
"count": 1, |
|
"self": 0.4772313909998047, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.05048857100018722, |
|
"count": 1, |
|
"self": 0.05048857100018722 |
|
}, |
|
"TrainerController.start_learning": { |
|
"total": 1777.578542501, |
|
"count": 1, |
|
"self": 1.045551888979844, |
|
"children": { |
|
"TrainerController._reset_env": { |
|
"total": 2.209144826999818, |
|
"count": 1, |
|
"self": 2.209144826999818 |
|
}, |
|
"TrainerController.advance": { |
|
"total": 1774.2354642020205, |
|
"count": 47767, |
|
"self": 1.085495056003765, |
|
"children": { |
|
"env_step": { |
|
"total": 1298.841299062075, |
|
"count": 47767, |
|
"self": 1195.74789817101, |
|
"children": { |
|
"SubprocessEnvManager._take_step": { |
|
"total": 102.45932746504513, |
|
"count": 47767, |
|
"self": 3.6522131160336357, |
|
"children": { |
|
"TorchPolicy.evaluate": { |
|
"total": 98.8071143490115, |
|
"count": 46548, |
|
"self": 98.8071143490115 |
|
} |
|
} |
|
}, |
|
"workers": { |
|
"total": 0.6340734260197678, |
|
"count": 47767, |
|
"self": 0.0, |
|
"children": { |
|
"worker_root": { |
|
"total": 1773.5019123530228, |
|
"count": 47767, |
|
"is_parallel": true, |
|
"self": 673.5860124210171, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.0, |
|
"count": 0, |
|
"is_parallel": true, |
|
"self": 0.0, |
|
"children": { |
|
"steps_from_proto": { |
|
"total": 0.002153898999949888, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0006879729994579975, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0014659260004918906, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0014659260004918906 |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 0.05119979799974317, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.001861483000084263, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.0005347289998098859, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0005347289998098859 |
|
}, |
|
"communicator.exchange": { |
|
"total": 0.04693047299997488, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.04693047299997488 |
|
}, |
|
"steps_from_proto": { |
|
"total": 0.001873112999874138, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0003845750006803428, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0014885379991937953, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0014885379991937953 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 1099.9158999320057, |
|
"count": 47766, |
|
"is_parallel": true, |
|
"self": 25.599184794084522, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 18.547018886950354, |
|
"count": 47766, |
|
"is_parallel": true, |
|
"self": 18.547018886950354 |
|
}, |
|
"communicator.exchange": { |
|
"total": 978.4382137229713, |
|
"count": 47766, |
|
"is_parallel": true, |
|
"self": 978.4382137229713 |
|
}, |
|
"steps_from_proto": { |
|
"total": 77.33148252799947, |
|
"count": 47766, |
|
"is_parallel": true, |
|
"self": 15.922522607053452, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 61.40895992094602, |
|
"count": 382128, |
|
"is_parallel": true, |
|
"self": 61.40895992094602 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_advance": { |
|
"total": 474.3086700839417, |
|
"count": 47767, |
|
"self": 2.056256513886183, |
|
"children": { |
|
"process_trajectory": { |
|
"total": 99.73064170805173, |
|
"count": 47767, |
|
"self": 99.51213664805164, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.21850506000009773, |
|
"count": 2, |
|
"self": 0.21850506000009773 |
|
} |
|
} |
|
}, |
|
"_update_policy": { |
|
"total": 372.5217718620038, |
|
"count": 349, |
|
"self": 219.09414086200786, |
|
"children": { |
|
"TorchPPOOptimizer.update": { |
|
"total": 153.42763099999593, |
|
"count": 16911, |
|
"self": 153.42763099999593 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_threads": { |
|
"total": 1.1729998732334934e-06, |
|
"count": 1, |
|
"self": 1.1729998732334934e-06 |
|
}, |
|
"TrainerController._save_models": { |
|
"total": 0.08838040999989971, |
|
"count": 1, |
|
"self": 0.0017367949999425036, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.08664361499995721, |
|
"count": 1, |
|
"self": 0.08664361499995721 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |