pete88b's picture
First Push
c782715
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.3840648829936981,
"min": 0.3840648829936981,
"max": 1.409225583076477,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 11503.51171875,
"min": 11503.51171875,
"max": 42750.265625,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989950.0,
"min": 29952.0,
"max": 989950.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989950.0,
"min": 29952.0,
"max": 989950.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.2566322386264801,
"min": -0.09082499891519547,
"max": 0.33194172382354736,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 65.95448303222656,
"min": -21.888824462890625,
"max": 86.96873474121094,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.006094653625041246,
"min": -0.02837957814335823,
"max": 0.38932013511657715,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 1.5663260221481323,
"min": -7.06651496887207,
"max": 93.8261489868164,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06581748453177921,
"min": 0.06581748453177921,
"max": 0.07374441271254217,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.921444783444909,
"min": 0.4846885674275142,
"max": 1.0922513815942996,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.012466696772877818,
"min": 0.0004186935525353345,
"max": 0.014715569629350042,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.17453375482028946,
"min": 0.005443016182959348,
"max": 0.19289142936930362,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.2837332864071426e-06,
"min": 7.2837332864071426e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010197226600969999,
"min": 0.00010197226600969999,
"max": 0.0035081708306097994,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10242787857142856,
"min": 0.10242787857142856,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4339902999999998,
"min": 1.3886848,
"max": 2.5693902,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0002525450692857143,
"min": 0.0002525450692857143,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.00353563097,
"min": 0.00353563097,
"max": 0.11696208098,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.009717540815472603,
"min": 0.009717540815472603,
"max": 0.6403778195381165,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.13604557514190674,
"min": 0.13604557514190674,
"max": 4.482644557952881,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 584.7592592592592,
"min": 455.61764705882354,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 31577.0,
"min": 15984.0,
"max": 32683.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.0818110813421231,
"min": -1.0000000521540642,
"max": 1.309002916164258,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 58.41779839247465,
"min": -29.70780162513256,
"max": 89.01219829916954,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.0818110813421231,
"min": -1.0000000521540642,
"max": 1.309002916164258,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 58.41779839247465,
"min": -29.70780162513256,
"max": 89.01219829916954,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.05885699309874326,
"min": 0.04836528204289019,
"max": 14.279201205819845,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.178277627332136,
"min": 2.748710427462356,
"max": 228.46721929311752,
"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": "1681498297",
"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",
"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": "1681500453"
},
"total": 2156.337426397,
"count": 1,
"self": 0.5382677630004764,
"children": {
"run_training.setup": {
"total": 0.10766148899983818,
"count": 1,
"self": 0.10766148899983818
},
"TrainerController.start_learning": {
"total": 2155.6914971449996,
"count": 1,
"self": 1.4521884700247938,
"children": {
"TrainerController._reset_env": {
"total": 3.839629939999895,
"count": 1,
"self": 3.839629939999895
},
"TrainerController.advance": {
"total": 2150.295063453975,
"count": 63427,
"self": 1.4520742489858094,
"children": {
"env_step": {
"total": 1501.2235828050464,
"count": 63427,
"self": 1392.8588598431043,
"children": {
"SubprocessEnvManager._take_step": {
"total": 107.492017702976,
"count": 63427,
"self": 4.8398097200231405,
"children": {
"TorchPolicy.evaluate": {
"total": 102.65220798295286,
"count": 62566,
"self": 102.65220798295286
}
}
},
"workers": {
"total": 0.8727052589661071,
"count": 63427,
"self": 0.0,
"children": {
"worker_root": {
"total": 2150.57345695899,
"count": 63427,
"is_parallel": true,
"self": 870.3855172079502,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0017297409999628144,
"count": 1,
"is_parallel": true,
"self": 0.0005389230002492695,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0011908179997135449,
"count": 8,
"is_parallel": true,
"self": 0.0011908179997135449
}
}
},
"UnityEnvironment.step": {
"total": 0.049008584999910454,
"count": 1,
"is_parallel": true,
"self": 0.0005255049995867012,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005632250001781358,
"count": 1,
"is_parallel": true,
"self": 0.0005632250001781358
},
"communicator.exchange": {
"total": 0.04627976100005071,
"count": 1,
"is_parallel": true,
"self": 0.04627976100005071
},
"steps_from_proto": {
"total": 0.001640094000094905,
"count": 1,
"is_parallel": true,
"self": 0.000400689000116472,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001239404999978433,
"count": 8,
"is_parallel": true,
"self": 0.001239404999978433
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1280.1879397510397,
"count": 63426,
"is_parallel": true,
"self": 32.37392717810894,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.90804406896177,
"count": 63426,
"is_parallel": true,
"self": 22.90804406896177
},
"communicator.exchange": {
"total": 1130.9939004039602,
"count": 63426,
"is_parallel": true,
"self": 1130.9939004039602
},
"steps_from_proto": {
"total": 93.91206810000881,
"count": 63426,
"is_parallel": true,
"self": 20.012300295063824,
"children": {
"_process_rank_one_or_two_observation": {
"total": 73.89976780494499,
"count": 507408,
"is_parallel": true,
"self": 73.89976780494499
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 647.619406399943,
"count": 63427,
"self": 2.7155448008973053,
"children": {
"process_trajectory": {
"total": 105.30106134204334,
"count": 63427,
"self": 105.04492247304324,
"children": {
"RLTrainer._checkpoint": {
"total": 0.25613886900009675,
"count": 2,
"self": 0.25613886900009675
}
}
},
"_update_policy": {
"total": 539.6028002570024,
"count": 450,
"self": 353.4300469520176,
"children": {
"TorchPPOOptimizer.update": {
"total": 186.17275330498478,
"count": 22761,
"self": 186.17275330498478
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1140000424347818e-06,
"count": 1,
"self": 1.1140000424347818e-06
},
"TrainerController._save_models": {
"total": 0.10461416699990878,
"count": 1,
"self": 0.001582849999977043,
"children": {
"RLTrainer._checkpoint": {
"total": 0.10303131699993173,
"count": 1,
"self": 0.10303131699993173
}
}
}
}
}
}
}