|
{ |
|
"name": "root", |
|
"gauges": { |
|
"Pyramids.Policy.Entropy.mean": { |
|
"value": 0.1864638477563858, |
|
"min": 0.18039709329605103, |
|
"max": 1.4596576690673828, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.Entropy.sum": { |
|
"value": 5528.2802734375, |
|
"min": 5528.2802734375, |
|
"max": 44280.17578125, |
|
"count": 66 |
|
}, |
|
"Pyramids.Step.mean": { |
|
"value": 1979960.0, |
|
"min": 29952.0, |
|
"max": 1979960.0, |
|
"count": 66 |
|
}, |
|
"Pyramids.Step.sum": { |
|
"value": 1979960.0, |
|
"min": 29952.0, |
|
"max": 1979960.0, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
|
"value": 0.826989471912384, |
|
"min": -0.089274100959301, |
|
"max": 0.826989471912384, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
|
"value": 246.44287109375, |
|
"min": -21.515058517456055, |
|
"max": 246.44287109375, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.mean": { |
|
"value": 0.0027297267224639654, |
|
"min": -0.008920630440115929, |
|
"max": 0.19711031019687653, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.sum": { |
|
"value": 0.8134585618972778, |
|
"min": -2.4264113903045654, |
|
"max": 47.50358581542969, |
|
"count": 66 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.mean": { |
|
"value": 0.06875129233646605, |
|
"min": 0.06307285478865565, |
|
"max": 0.07546488655295622, |
|
"count": 66 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.sum": { |
|
"value": 0.9625180927105248, |
|
"min": 0.4925582814083873, |
|
"max": 1.0807502812919363, |
|
"count": 66 |
|
}, |
|
"Pyramids.Losses.ValueLoss.mean": { |
|
"value": 0.015489411715645387, |
|
"min": 0.0007500600439720249, |
|
"max": 0.01684945211209375, |
|
"count": 66 |
|
}, |
|
"Pyramids.Losses.ValueLoss.sum": { |
|
"value": 0.21685176401903541, |
|
"min": 0.010500840615608348, |
|
"max": 0.23589232956931247, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.LearningRate.mean": { |
|
"value": 5.2519196779642875e-06, |
|
"min": 5.2519196779642875e-06, |
|
"max": 0.0002975753150939428, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.LearningRate.sum": { |
|
"value": 7.352687549150003e-05, |
|
"min": 7.352687549150003e-05, |
|
"max": 0.003696399067867, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.Epsilon.mean": { |
|
"value": 0.10175060714285715, |
|
"min": 0.10175060714285715, |
|
"max": 0.19919177142857142, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.Epsilon.sum": { |
|
"value": 1.4245085000000002, |
|
"min": 1.3943424, |
|
"max": 2.6215241, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.Beta.mean": { |
|
"value": 0.0001848856535714286, |
|
"min": 0.0001848856535714286, |
|
"max": 0.009919257965714285, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.Beta.sum": { |
|
"value": 0.00258839915, |
|
"min": 0.00258839915, |
|
"max": 0.12322008669999998, |
|
"count": 66 |
|
}, |
|
"Pyramids.Losses.RNDLoss.mean": { |
|
"value": 0.008282682858407497, |
|
"min": 0.00788664910942316, |
|
"max": 0.3117840588092804, |
|
"count": 66 |
|
}, |
|
"Pyramids.Losses.RNDLoss.sum": { |
|
"value": 0.11595755815505981, |
|
"min": 0.1104130819439888, |
|
"max": 2.182488441467285, |
|
"count": 66 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.mean": { |
|
"value": 205.09420289855072, |
|
"min": 205.09420289855072, |
|
"max": 999.0, |
|
"count": 66 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.sum": { |
|
"value": 28303.0, |
|
"min": 15984.0, |
|
"max": 32875.0, |
|
"count": 66 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.mean": { |
|
"value": 1.7804086732043736, |
|
"min": -1.0000000521540642, |
|
"max": 1.7804086732043736, |
|
"count": 66 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.sum": { |
|
"value": 245.69639690220356, |
|
"min": -30.581801749765873, |
|
"max": 245.69639690220356, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.mean": { |
|
"value": 1.7804086732043736, |
|
"min": -1.0000000521540642, |
|
"max": 1.7804086732043736, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.sum": { |
|
"value": 245.69639690220356, |
|
"min": -30.581801749765873, |
|
"max": 245.69639690220356, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.RndReward.mean": { |
|
"value": 0.0178303539950571, |
|
"min": 0.0178303539950571, |
|
"max": 6.077938006259501, |
|
"count": 66 |
|
}, |
|
"Pyramids.Policy.RndReward.sum": { |
|
"value": 2.4605888513178797, |
|
"min": 2.452773006472853, |
|
"max": 97.24700810015202, |
|
"count": 66 |
|
}, |
|
"Pyramids.IsTraining.mean": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 66 |
|
}, |
|
"Pyramids.IsTraining.sum": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 66 |
|
} |
|
}, |
|
"metadata": { |
|
"timer_format_version": "0.1.0", |
|
"start_time_seconds": "1673727071", |
|
"python_version": "3.8.16 (default, Dec 7 2022, 01:12:13) \n[GCC 7.5.0]", |
|
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids2 --no-graphics", |
|
"mlagents_version": "0.29.0.dev0", |
|
"mlagents_envs_version": "0.29.0.dev0", |
|
"communication_protocol_version": "1.5.0", |
|
"pytorch_version": "1.8.1+cu102", |
|
"numpy_version": "1.21.6", |
|
"end_time_seconds": "1673731297" |
|
}, |
|
"total": 4226.010252202, |
|
"count": 1, |
|
"self": 0.44766875200002687, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.11084765500001481, |
|
"count": 1, |
|
"self": 0.11084765500001481 |
|
}, |
|
"TrainerController.start_learning": { |
|
"total": 4225.451735795, |
|
"count": 1, |
|
"self": 2.5331752540687376, |
|
"children": { |
|
"TrainerController._reset_env": { |
|
"total": 9.845023167999983, |
|
"count": 1, |
|
"self": 9.845023167999983 |
|
}, |
|
"TrainerController.advance": { |
|
"total": 4212.983398691931, |
|
"count": 129362, |
|
"self": 2.5400182918338032, |
|
"children": { |
|
"env_step": { |
|
"total": 2900.859631812995, |
|
"count": 129362, |
|
"self": 2693.850423617993, |
|
"children": { |
|
"SubprocessEnvManager._take_step": { |
|
"total": 205.41543536902603, |
|
"count": 129362, |
|
"self": 8.252066621979282, |
|
"children": { |
|
"TorchPolicy.evaluate": { |
|
"total": 197.16336874704675, |
|
"count": 125055, |
|
"self": 66.38677600709593, |
|
"children": { |
|
"TorchPolicy.sample_actions": { |
|
"total": 130.77659273995081, |
|
"count": 125055, |
|
"self": 130.77659273995081 |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"workers": { |
|
"total": 1.593772825975833, |
|
"count": 129362, |
|
"self": 0.0, |
|
"children": { |
|
"worker_root": { |
|
"total": 4218.348804893989, |
|
"count": 129362, |
|
"is_parallel": true, |
|
"self": 1722.2017308919421, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.0, |
|
"count": 0, |
|
"is_parallel": true, |
|
"self": 0.0, |
|
"children": { |
|
"steps_from_proto": { |
|
"total": 0.006028434999990395, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0036583659999962492, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.002370068999994146, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.002370068999994146 |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 0.09690124799999467, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.001299773999988929, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.00043830500001718065, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00043830500001718065 |
|
}, |
|
"communicator.exchange": { |
|
"total": 0.09259949899998787, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.09259949899998787 |
|
}, |
|
"steps_from_proto": { |
|
"total": 0.002563670000000684, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0004910740000241276, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0020725959999765564, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0020725959999765564 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 2496.147074002047, |
|
"count": 129361, |
|
"is_parallel": true, |
|
"self": 55.516251133009064, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 43.444309489002165, |
|
"count": 129361, |
|
"is_parallel": true, |
|
"self": 43.444309489002165 |
|
}, |
|
"communicator.exchange": { |
|
"total": 2215.311333026045, |
|
"count": 129361, |
|
"is_parallel": true, |
|
"self": 2215.311333026045 |
|
}, |
|
"steps_from_proto": { |
|
"total": 181.8751803539908, |
|
"count": 129361, |
|
"is_parallel": true, |
|
"self": 43.05065154167369, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 138.8245288123171, |
|
"count": 1034888, |
|
"is_parallel": true, |
|
"self": 138.8245288123171 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_advance": { |
|
"total": 1309.5837485871023, |
|
"count": 129362, |
|
"self": 5.0889969221204865, |
|
"children": { |
|
"process_trajectory": { |
|
"total": 287.4317184629816, |
|
"count": 129362, |
|
"self": 287.045639336981, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.38607912600059535, |
|
"count": 4, |
|
"self": 0.38607912600059535 |
|
} |
|
} |
|
}, |
|
"_update_policy": { |
|
"total": 1017.0630332020003, |
|
"count": 924, |
|
"self": 386.5747298649984, |
|
"children": { |
|
"TorchPPOOptimizer.update": { |
|
"total": 630.4883033370019, |
|
"count": 45600, |
|
"self": 630.4883033370019 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_threads": { |
|
"total": 8.200004231184721e-07, |
|
"count": 1, |
|
"self": 8.200004231184721e-07 |
|
}, |
|
"TrainerController._save_models": { |
|
"total": 0.09013786099967547, |
|
"count": 1, |
|
"self": 0.0014619029998357291, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.08867595799983974, |
|
"count": 1, |
|
"self": 0.08867595799983974 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |