Samalabama66's picture
First Push
06d13be
raw
history blame
18.7 kB
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.45511460304260254,
"min": 0.45511460304260254,
"max": 1.4204320907592773,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 13813.638671875,
"min": 13779.55078125,
"max": 43090.2265625,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989942.0,
"min": 29952.0,
"max": 989942.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989942.0,
"min": 29952.0,
"max": 989942.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6417292952537537,
"min": -0.09549913555383682,
"max": 0.6933141946792603,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 182.89285278320312,
"min": -22.91979217529297,
"max": 199.6744842529297,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.019893599674105644,
"min": -0.02651064656674862,
"max": 0.3611195385456085,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 5.669675827026367,
"min": -7.369959831237793,
"max": 87.39093017578125,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.07071723184134399,
"min": 0.06476677235558952,
"max": 0.0739571617020937,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 1.0607584776201597,
"min": 0.4849838160178102,
"max": 1.0734762682889898,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.015304262354685409,
"min": 0.00017715715563074413,
"max": 0.01778547307059002,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.22956393532028113,
"min": 0.0021258858675689296,
"max": 0.2565344411619555,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.468677510473335e-06,
"min": 7.468677510473335e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00011203016265710002,
"min": 0.00011203016265710002,
"max": 0.003330197189934299,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10248952666666668,
"min": 0.10248952666666668,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.5373429,
"min": 1.3886848,
"max": 2.4018628000000004,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002587037140000001,
"min": 0.0002587037140000001,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003880555710000002,
"min": 0.003880555710000002,
"max": 0.11101556343,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.012898260727524757,
"min": 0.012898260727524757,
"max": 0.5469852089881897,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.1934739053249359,
"min": 0.1843286007642746,
"max": 3.8288962841033936,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 297.747572815534,
"min": 280.3703703703704,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30668.0,
"min": 15984.0,
"max": 32545.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.6439747427707736,
"min": -1.0000000521540642,
"max": 1.7200275112729553,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 169.3293985053897,
"min": -31.99640165269375,
"max": 187.48299872875214,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.6439747427707736,
"min": -1.0000000521540642,
"max": 1.7200275112729553,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 169.3293985053897,
"min": -31.99640165269375,
"max": 187.48299872875214,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.04000237750859774,
"min": 0.03856092089613036,
"max": 10.661596650257707,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 4.120244883385567,
"min": 3.86201220395742,
"max": 170.5855464041233,
"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": "1690354013",
"python_version": "3.10.6 (main, May 29 2023, 11:10:38) [GCC 11.3.0]",
"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",
"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": "1690356313"
},
"total": 2299.756992256,
"count": 1,
"self": 0.5432933340002819,
"children": {
"run_training.setup": {
"total": 0.037338524000006146,
"count": 1,
"self": 0.037338524000006146
},
"TrainerController.start_learning": {
"total": 2299.176360398,
"count": 1,
"self": 1.3805928990086613,
"children": {
"TrainerController._reset_env": {
"total": 5.956251769999994,
"count": 1,
"self": 5.956251769999994
},
"TrainerController.advance": {
"total": 2291.7421100209913,
"count": 63942,
"self": 1.4319647459515181,
"children": {
"env_step": {
"total": 1619.3997202970113,
"count": 63942,
"self": 1508.9185242400122,
"children": {
"SubprocessEnvManager._take_step": {
"total": 109.65075589404671,
"count": 63942,
"self": 4.798881735027749,
"children": {
"TorchPolicy.evaluate": {
"total": 104.85187415901896,
"count": 62556,
"self": 104.85187415901896
}
}
},
"workers": {
"total": 0.8304401629522999,
"count": 63942,
"self": 0.0,
"children": {
"worker_root": {
"total": 2293.993994102,
"count": 63942,
"is_parallel": true,
"self": 902.8126096660251,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.005501332000051207,
"count": 1,
"is_parallel": true,
"self": 0.004126317000100244,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001375014999950963,
"count": 8,
"is_parallel": true,
"self": 0.001375014999950963
}
}
},
"UnityEnvironment.step": {
"total": 0.056391374000043015,
"count": 1,
"is_parallel": true,
"self": 0.0005854890000591695,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.000506980000011481,
"count": 1,
"is_parallel": true,
"self": 0.000506980000011481
},
"communicator.exchange": {
"total": 0.053444995000006656,
"count": 1,
"is_parallel": true,
"self": 0.053444995000006656
},
"steps_from_proto": {
"total": 0.0018539099999657083,
"count": 1,
"is_parallel": true,
"self": 0.0004192339999349315,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014346760000307768,
"count": 8,
"is_parallel": true,
"self": 0.0014346760000307768
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1391.1813844359751,
"count": 63941,
"is_parallel": true,
"self": 35.62400667295901,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 23.48254349598693,
"count": 63941,
"is_parallel": true,
"self": 23.48254349598693
},
"communicator.exchange": {
"total": 1227.2354369170275,
"count": 63941,
"is_parallel": true,
"self": 1227.2354369170275
},
"steps_from_proto": {
"total": 104.8393973500016,
"count": 63941,
"is_parallel": true,
"self": 21.38284913399815,
"children": {
"_process_rank_one_or_two_observation": {
"total": 83.45654821600345,
"count": 511528,
"is_parallel": true,
"self": 83.45654821600345
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 670.9104249780283,
"count": 63942,
"self": 2.5342161249742503,
"children": {
"process_trajectory": {
"total": 112.622339006054,
"count": 63942,
"self": 112.40777748005411,
"children": {
"RLTrainer._checkpoint": {
"total": 0.21456152599989764,
"count": 2,
"self": 0.21456152599989764
}
}
},
"_update_policy": {
"total": 555.7538698470001,
"count": 447,
"self": 363.65270011399036,
"children": {
"TorchPPOOptimizer.update": {
"total": 192.10116973300978,
"count": 22803,
"self": 192.10116973300978
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0019998626376037e-06,
"count": 1,
"self": 1.0019998626376037e-06
},
"TrainerController._save_models": {
"total": 0.09740470599990658,
"count": 1,
"self": 0.0014147249999041378,
"children": {
"RLTrainer._checkpoint": {
"total": 0.09598998100000244,
"count": 1,
"self": 0.09598998100000244
}
}
}
}
}
}
}