AndExpo's picture
First Push
3bec73f verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.8549647331237793,
"min": 0.8549647331237793,
"max": 1.506505012512207,
"count": 16
},
"Pyramids.Policy.Entropy.sum": {
"value": 25635.26171875,
"min": 25635.26171875,
"max": 45701.3359375,
"count": 16
},
"Pyramids.Step.mean": {
"value": 479987.0,
"min": 29952.0,
"max": 479987.0,
"count": 16
},
"Pyramids.Step.sum": {
"value": 479987.0,
"min": 29952.0,
"max": 479987.0,
"count": 16
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.069112628698349,
"min": -0.11863730102777481,
"max": -0.021677853539586067,
"count": 16
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": -16.794368743896484,
"min": -28.117040634155273,
"max": -5.267718315124512,
"count": 16
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.019834093749523163,
"min": 0.019834093749523163,
"max": 0.29595303535461426,
"count": 16
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 4.819684982299805,
"min": 4.819684982299805,
"max": 70.140869140625,
"count": 16
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.0659549054564567,
"min": 0.06528209482607593,
"max": 0.0751006422591057,
"count": 16
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9233686763903939,
"min": 0.4788473356502122,
"max": 0.9855747316745976,
"count": 16
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.001681840885257783,
"min": 0.0003594376103292175,
"max": 0.005031318694938239,
"count": 16
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.023545772393608964,
"min": 0.00431325132395061,
"max": 0.050746901483387986,
"count": 16
},
"Pyramids.Policy.LearningRate.mean": {
"value": 2.1240264348514283e-05,
"min": 2.1240264348514283e-05,
"max": 0.00029030126037577137,
"count": 16
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0002973637008792,
"min": 0.0002973637008792,
"max": 0.0026341275219576004,
"count": 16
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10708005714285716,
"min": 0.10708005714285716,
"max": 0.19676708571428575,
"count": 16
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4991208000000003,
"min": 1.3773696000000002,
"max": 2.0938972,
"count": 16
},
"Pyramids.Policy.Beta.mean": {
"value": 0.0007172977085714287,
"min": 0.0007172977085714287,
"max": 0.00967703186285714,
"count": 16
},
"Pyramids.Policy.Beta.sum": {
"value": 0.010042167920000003,
"min": 0.010042167920000003,
"max": 0.08783643575999998,
"count": 16
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.019233208149671555,
"min": 0.019233208149671555,
"max": 0.37762317061424255,
"count": 16
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.26926490664482117,
"min": 0.26926490664482117,
"max": 2.643362283706665,
"count": 16
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 918.3333333333334,
"min": 910.96,
"max": 999.0,
"count": 16
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30305.0,
"min": 15984.0,
"max": 32736.0,
"count": 16
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": -0.6765697424610456,
"min": -1.0000000521540642,
"max": -0.5115600454807282,
"count": 16
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": -22.326801501214504,
"min": -31.9992016851902,
"max": -12.789001137018204,
"count": 16
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": -0.6765697424610456,
"min": -1.0000000521540642,
"max": -0.5115600454807282,
"count": 16
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": -22.326801501214504,
"min": -31.9992016851902,
"max": -12.789001137018204,
"count": 16
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.18421179889419087,
"min": 0.18421179889419087,
"max": 8.230333052575588,
"count": 16
},
"Pyramids.Policy.RndReward.sum": {
"value": 6.078989363508299,
"min": 6.078989363508299,
"max": 131.6853288412094,
"count": 16
},
"Pyramids.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 16
},
"Pyramids.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 16
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1746790230",
"python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]",
"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": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.7.0+cu126",
"numpy_version": "1.23.5",
"end_time_seconds": "1746791372"
},
"total": 1142.473794465,
"count": 1,
"self": 0.490108907999911,
"children": {
"run_training.setup": {
"total": 0.021556549000251835,
"count": 1,
"self": 0.021556549000251835
},
"TrainerController.start_learning": {
"total": 1141.962129008,
"count": 1,
"self": 0.7169487809428574,
"children": {
"TrainerController._reset_env": {
"total": 2.3759234240001206,
"count": 1,
"self": 2.3759234240001206
},
"TrainerController.advance": {
"total": 1138.7617848570571,
"count": 31516,
"self": 0.7508249781153609,
"children": {
"env_step": {
"total": 786.8222813759489,
"count": 31516,
"self": 705.4419411999679,
"children": {
"SubprocessEnvManager._take_step": {
"total": 80.97741033197099,
"count": 31516,
"self": 2.5149954279850135,
"children": {
"TorchPolicy.evaluate": {
"total": 78.46241490398597,
"count": 31328,
"self": 78.46241490398597
}
}
},
"workers": {
"total": 0.40292984401003196,
"count": 31516,
"self": 0.0,
"children": {
"worker_root": {
"total": 1139.2787704829793,
"count": 31516,
"is_parallel": true,
"self": 494.1346449929888,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0020576900001287868,
"count": 1,
"is_parallel": true,
"self": 0.0007015510000201175,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013561390001086693,
"count": 8,
"is_parallel": true,
"self": 0.0013561390001086693
}
}
},
"UnityEnvironment.step": {
"total": 0.05361804399990433,
"count": 1,
"is_parallel": true,
"self": 0.0005673389996445621,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005635540001094341,
"count": 1,
"is_parallel": true,
"self": 0.0005635540001094341
},
"communicator.exchange": {
"total": 0.050792396000360895,
"count": 1,
"is_parallel": true,
"self": 0.050792396000360895
},
"steps_from_proto": {
"total": 0.0016947549997894384,
"count": 1,
"is_parallel": true,
"self": 0.00035731599973587436,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001337439000053564,
"count": 8,
"is_parallel": true,
"self": 0.001337439000053564
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 645.1441254899905,
"count": 31515,
"is_parallel": true,
"self": 16.668768702934358,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 12.508553180001854,
"count": 31515,
"is_parallel": true,
"self": 12.508553180001854
},
"communicator.exchange": {
"total": 563.6510853640311,
"count": 31515,
"is_parallel": true,
"self": 563.6510853640311
},
"steps_from_proto": {
"total": 52.315718243023184,
"count": 31515,
"is_parallel": true,
"self": 10.644815382088382,
"children": {
"_process_rank_one_or_two_observation": {
"total": 41.6709028609348,
"count": 252120,
"is_parallel": true,
"self": 41.6709028609348
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 351.18867850299284,
"count": 31516,
"self": 1.1732564339840792,
"children": {
"process_trajectory": {
"total": 67.52694380901039,
"count": 31516,
"self": 67.40264100201057,
"children": {
"RLTrainer._checkpoint": {
"total": 0.12430280699982177,
"count": 1,
"self": 0.12430280699982177
}
}
},
"_update_policy": {
"total": 282.4884782599984,
"count": 206,
"self": 158.77124386200876,
"children": {
"TorchPPOOptimizer.update": {
"total": 123.71723439798961,
"count": 11493,
"self": 123.71723439798961
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1229999472561758e-06,
"count": 1,
"self": 1.1229999472561758e-06
},
"TrainerController._save_models": {
"total": 0.10747082299985777,
"count": 1,
"self": 0.0010965869996653055,
"children": {
"RLTrainer._checkpoint": {
"total": 0.10637423600019247,
"count": 1,
"self": 0.10637423600019247
}
}
}
}
}
}
}