diepala's picture
First Commit
9625cc1 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.6416069269180298,
"min": 0.6416069269180298,
"max": 1.3969576358795166,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 19063.42578125,
"min": 19063.42578125,
"max": 42378.10546875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989890.0,
"min": 29952.0,
"max": 989890.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989890.0,
"min": 29952.0,
"max": 989890.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.2930808365345001,
"min": -0.09962756186723709,
"max": 0.2930808365345001,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 76.49409484863281,
"min": -24.010242462158203,
"max": 76.49409484863281,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.010942352935671806,
"min": -0.007483246736228466,
"max": 0.5110543370246887,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 2.855954170227051,
"min": -1.9381608963012695,
"max": 121.11988067626953,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06508004052555698,
"min": 0.06467382014096136,
"max": 0.07147914140787846,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9111205673577977,
"min": 0.49306234740735777,
"max": 1.0441375306759524,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.012495636469031946,
"min": 0.0005565254659213828,
"max": 0.014493545814074554,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.17493891056644725,
"min": 0.007791356522899359,
"max": 0.18327661314348614,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.4377403779285745e-06,
"min": 7.4377403779285745e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010412836529100005,
"min": 0.00010412836529100005,
"max": 0.003256482814505799,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.1024792142857143,
"min": 0.1024792142857143,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4347090000000002,
"min": 1.3886848,
"max": 2.442923,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00025767350714285726,
"min": 0.00025767350714285726,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0036074291000000014,
"min": 0.0036074291000000014,
"max": 0.10857087058,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.01664787344634533,
"min": 0.01632569544017315,
"max": 0.6451934576034546,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.2330702394247055,
"min": 0.2285597324371338,
"max": 4.516354084014893,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 520.2982456140351,
"min": 520.2982456140351,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 29657.0,
"min": 15984.0,
"max": 32351.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.2989930818820823,
"min": -1.0000000521540642,
"max": 1.2989930818820823,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 75.34159874916077,
"min": -30.38280165940523,
"max": 75.34159874916077,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.2989930818820823,
"min": -1.0000000521540642,
"max": 1.2989930818820823,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 75.34159874916077,
"min": -30.38280165940523,
"max": 75.34159874916077,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.09040010555201725,
"min": 0.09040010555201725,
"max": 14.00957185588777,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 5.243206122017,
"min": 4.713947618642123,
"max": 224.15314969420433,
"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": "1718998179",
"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",
"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": "1719000238"
},
"total": 2058.690427979,
"count": 1,
"self": 0.47644501300010234,
"children": {
"run_training.setup": {
"total": 0.05121739499986688,
"count": 1,
"self": 0.05121739499986688
},
"TrainerController.start_learning": {
"total": 2058.162765571,
"count": 1,
"self": 1.3477866989092036,
"children": {
"TrainerController._reset_env": {
"total": 2.6793739619999997,
"count": 1,
"self": 2.6793739619999997
},
"TrainerController.advance": {
"total": 2054.0421800890904,
"count": 63284,
"self": 1.3670525541533607,
"children": {
"env_step": {
"total": 1429.518980960943,
"count": 63284,
"self": 1299.1645618209604,
"children": {
"SubprocessEnvManager._take_step": {
"total": 129.54073254297418,
"count": 63284,
"self": 4.6629021270039175,
"children": {
"TorchPolicy.evaluate": {
"total": 124.87783041597027,
"count": 62559,
"self": 124.87783041597027
}
}
},
"workers": {
"total": 0.8136865970084273,
"count": 63284,
"self": 0.0,
"children": {
"worker_root": {
"total": 2053.081305473926,
"count": 63284,
"is_parallel": true,
"self": 874.5613234129053,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0021043340000233,
"count": 1,
"is_parallel": true,
"self": 0.000611849999813785,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0014924840002095152,
"count": 8,
"is_parallel": true,
"self": 0.0014924840002095152
}
}
},
"UnityEnvironment.step": {
"total": 0.0859558189999916,
"count": 1,
"is_parallel": true,
"self": 0.0006707689997256239,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004649950001294201,
"count": 1,
"is_parallel": true,
"self": 0.0004649950001294201
},
"communicator.exchange": {
"total": 0.08305873000017527,
"count": 1,
"is_parallel": true,
"self": 0.08305873000017527
},
"steps_from_proto": {
"total": 0.001761324999961289,
"count": 1,
"is_parallel": true,
"self": 0.00043667500040101004,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001324649999560279,
"count": 8,
"is_parallel": true,
"self": 0.001324649999560279
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1178.5199820610208,
"count": 63283,
"is_parallel": true,
"self": 33.39329863400303,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 23.599181494957065,
"count": 63283,
"is_parallel": true,
"self": 23.599181494957065
},
"communicator.exchange": {
"total": 1022.0855688680936,
"count": 63283,
"is_parallel": true,
"self": 1022.0855688680936
},
"steps_from_proto": {
"total": 99.4419330639671,
"count": 63283,
"is_parallel": true,
"self": 20.08658147004985,
"children": {
"_process_rank_one_or_two_observation": {
"total": 79.35535159391725,
"count": 506264,
"is_parallel": true,
"self": 79.35535159391725
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 623.1561465739942,
"count": 63284,
"self": 2.4612023560005127,
"children": {
"process_trajectory": {
"total": 128.825312884999,
"count": 63284,
"self": 128.6322753719985,
"children": {
"RLTrainer._checkpoint": {
"total": 0.19303751300049043,
"count": 2,
"self": 0.19303751300049043
}
}
},
"_update_policy": {
"total": 491.8696313329947,
"count": 445,
"self": 290.82331846593456,
"children": {
"TorchPPOOptimizer.update": {
"total": 201.04631286706012,
"count": 22818,
"self": 201.04631286706012
}
}
}
}
}
}
},
"trainer_threads": {
"total": 8.560000424040481e-07,
"count": 1,
"self": 8.560000424040481e-07
},
"TrainerController._save_models": {
"total": 0.09342396500005634,
"count": 1,
"self": 0.0014223749999473512,
"children": {
"RLTrainer._checkpoint": {
"total": 0.09200159000010899,
"count": 1,
"self": 0.09200159000010899
}
}
}
}
}
}
}