mattjmattj's picture
Push model
a2850e4
Raw History Blame Contribute Delete
18.7 kB
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.3648156523704529,
"min": 0.35036709904670715,
"max": 1.3936642408370972,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 10874.4248046875,
"min": 10544.6484375,
"max": 42278.19921875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989897.0,
"min": 29952.0,
"max": 989897.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989897.0,
"min": 29952.0,
"max": 989897.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6825043559074402,
"min": -0.12101759761571884,
"max": 0.7415227293968201,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 191.10122680664062,
"min": -29.286258697509766,
"max": 219.49072265625,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": -0.004908254835754633,
"min": -0.11720054596662521,
"max": 0.59010910987854,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": -1.3743113279342651,
"min": -30.70654296875,
"max": 139.85586547851562,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06593194806880477,
"min": 0.06593007962103152,
"max": 0.07525484353841638,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9230472729632667,
"min": 0.5118857781194022,
"max": 1.0724650570647976,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.015125824388554213,
"min": 0.000559834270158916,
"max": 0.01737124411840382,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.21176154143975898,
"min": 0.005199744586928373,
"max": 0.2593937749043107,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.587054613871425e-06,
"min": 7.587054613871425e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010621876459419996,
"min": 0.00010621876459419996,
"max": 0.0032557202147599994,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10252898571428573,
"min": 0.10252898571428573,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4354058000000003,
"min": 1.3886848,
"max": 2.5725439999999997,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026264567285714277,
"min": 0.00026264567285714277,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0036770394199999988,
"min": 0.0036770394199999988,
"max": 0.10854547599999999,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.012187100015580654,
"min": 0.012187100015580654,
"max": 0.5229538679122925,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.170619398355484,
"min": 0.170619398355484,
"max": 3.660676956176758,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 271.05882352941177,
"min": 246.2,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 27648.0,
"min": 15984.0,
"max": 32506.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.7293106609756508,
"min": -1.0000000521540642,
"max": 1.7469915846566193,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 178.11899808049202,
"min": -31.998401656746864,
"max": 215.45759807527065,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.7293106609756508,
"min": -1.0000000521540642,
"max": 1.7469915846566193,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 178.11899808049202,
"min": -31.998401656746864,
"max": 215.45759807527065,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.034040624395892186,
"min": 0.031686061287004005,
"max": 10.957106669433415,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.5061843127768952,
"min": 3.5061843127768952,
"max": 175.31370671093464,
"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": "1683242061",
"python_version": "3.10.11 (main, Apr 5 2023, 14:15:10) [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=Pyramids4 --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": "1683244463"
},
"total": 2402.5922183230005,
"count": 1,
"self": 0.474707118999504,
"children": {
"run_training.setup": {
"total": 0.057119492999845534,
"count": 1,
"self": 0.057119492999845534
},
"TrainerController.start_learning": {
"total": 2402.060391711001,
"count": 1,
"self": 1.502984708123222,
"children": {
"TrainerController._reset_env": {
"total": 4.918993723999847,
"count": 1,
"self": 4.918993723999847
},
"TrainerController.advance": {
"total": 2395.5435084398787,
"count": 64191,
"self": 1.5152197509123653,
"children": {
"env_step": {
"total": 1743.9130005340148,
"count": 64191,
"self": 1625.613628198118,
"children": {
"SubprocessEnvManager._take_step": {
"total": 117.44642171893884,
"count": 64191,
"self": 5.202547920883262,
"children": {
"TorchPolicy.evaluate": {
"total": 112.24387379805557,
"count": 62555,
"self": 112.24387379805557
}
}
},
"workers": {
"total": 0.852950616957969,
"count": 64191,
"self": 0.0,
"children": {
"worker_root": {
"total": 2396.3326593088714,
"count": 64191,
"is_parallel": true,
"self": 893.9743578048665,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.002567057999840472,
"count": 1,
"is_parallel": true,
"self": 0.0005550819978452637,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002011976001995208,
"count": 8,
"is_parallel": true,
"self": 0.002011976001995208
}
}
},
"UnityEnvironment.step": {
"total": 0.05816764199971658,
"count": 1,
"is_parallel": true,
"self": 0.000635472999420017,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00047215599988703616,
"count": 1,
"is_parallel": true,
"self": 0.00047215599988703616
},
"communicator.exchange": {
"total": 0.054921074000048975,
"count": 1,
"is_parallel": true,
"self": 0.054921074000048975
},
"steps_from_proto": {
"total": 0.0021389390003605513,
"count": 1,
"is_parallel": true,
"self": 0.0004684570003519184,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001670482000008633,
"count": 8,
"is_parallel": true,
"self": 0.001670482000008633
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1502.3583015040049,
"count": 64190,
"is_parallel": true,
"self": 33.23282283485514,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 25.061296451979615,
"count": 64190,
"is_parallel": true,
"self": 25.061296451979615
},
"communicator.exchange": {
"total": 1336.1386266651853,
"count": 64190,
"is_parallel": true,
"self": 1336.1386266651853
},
"steps_from_proto": {
"total": 107.92555555198487,
"count": 64190,
"is_parallel": true,
"self": 22.60062777093208,
"children": {
"_process_rank_one_or_two_observation": {
"total": 85.32492778105279,
"count": 513520,
"is_parallel": true,
"self": 85.32492778105279
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 650.1152881549515,
"count": 64191,
"self": 2.6734349971102347,
"children": {
"process_trajectory": {
"total": 117.48467422883186,
"count": 64191,
"self": 117.25563822483218,
"children": {
"RLTrainer._checkpoint": {
"total": 0.22903600399968127,
"count": 2,
"self": 0.22903600399968127
}
}
},
"_update_policy": {
"total": 529.9571789290094,
"count": 444,
"self": 338.6599236010179,
"children": {
"TorchPPOOptimizer.update": {
"total": 191.29725532799148,
"count": 22806,
"self": 191.29725532799148
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.4600000011269e-07,
"count": 1,
"self": 9.4600000011269e-07
},
"TrainerController._save_models": {
"total": 0.09490389299935487,
"count": 1,
"self": 0.0013939969994680723,
"children": {
"RLTrainer._checkpoint": {
"total": 0.0935098959998868,
"count": 1,
"self": 0.0935098959998868
}
}
}
}
}
}
}