matansol's picture
First Push
1ce4f0e
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.3040502965450287,
"min": 0.3040502965450287,
"max": 1.5238757133483887,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 9204.2109375,
"min": 9204.2109375,
"max": 46228.29296875,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989999.0,
"min": 29952.0,
"max": 989999.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989999.0,
"min": 29952.0,
"max": 989999.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.6490343809127808,
"min": -0.11849452555179596,
"max": 0.694838285446167,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 185.6238250732422,
"min": -28.083202362060547,
"max": 198.7237548828125,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.01583094336092472,
"min": -0.007460307329893112,
"max": 0.5277181267738342,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 4.527649879455566,
"min": -2.05904483795166,
"max": 128.23550415039062,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06594976840937132,
"min": 0.06594976840937132,
"max": 0.07291496922284839,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9232967577311985,
"min": 0.47698796273278743,
"max": 1.0354091498136806,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.014597381191422407,
"min": 0.002009073983021208,
"max": 0.024004689922254803,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.2043633366799137,
"min": 0.024108887796254495,
"max": 0.23037078973720784,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.437954663571429e-06,
"min": 7.437954663571429e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010413136529,
"min": 0.00010413136529,
"max": 0.0037581133472956,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.1024792857142857,
"min": 0.1024792857142857,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.43471,
"min": 1.3886848,
"max": 2.6527044,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00025768064285714283,
"min": 0.00025768064285714283,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003607529,
"min": 0.003607529,
"max": 0.12528516956,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.02472051791846752,
"min": 0.02446679212152958,
"max": 0.7727689146995544,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.346087247133255,
"min": 0.3425350785255432,
"max": 5.409382343292236,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 281.6090909090909,
"min": 261.75892857142856,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30977.0,
"min": 15984.0,
"max": 32442.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.663827256384221,
"min": -1.0000000521540642,
"max": 1.6971788331866264,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 183.0209982022643,
"min": -26.387801706790924,
"max": 188.68119774758816,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.663827256384221,
"min": -1.0000000521540642,
"max": 1.6971788331866264,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 183.0209982022643,
"min": -26.387801706790924,
"max": 188.68119774758816,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.07273127073673426,
"min": 0.06641569905280319,
"max": 18.795794791541994,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 8.000439781040768,
"min": 7.42138241698558,
"max": 300.7327166646719,
"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": "1701769796",
"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": "2.1.1+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1701772155"
},
"total": 2359.695567042,
"count": 1,
"self": 0.47719057700032863,
"children": {
"run_training.setup": {
"total": 0.05324767000001884,
"count": 1,
"self": 0.05324767000001884
},
"TrainerController.start_learning": {
"total": 2359.165128795,
"count": 1,
"self": 1.4202763770658748,
"children": {
"TrainerController._reset_env": {
"total": 2.971896135999941,
"count": 1,
"self": 2.971896135999941
},
"TrainerController.advance": {
"total": 2354.6915404979336,
"count": 64355,
"self": 1.4892048119850188,
"children": {
"env_step": {
"total": 1704.739517578007,
"count": 64355,
"self": 1568.3357887530515,
"children": {
"SubprocessEnvManager._take_step": {
"total": 135.50969235690673,
"count": 64355,
"self": 4.90882982903122,
"children": {
"TorchPolicy.evaluate": {
"total": 130.6008625278755,
"count": 62561,
"self": 130.6008625278755
}
}
},
"workers": {
"total": 0.8940364680488528,
"count": 64355,
"self": 0.0,
"children": {
"worker_root": {
"total": 2354.2044920548988,
"count": 64355,
"is_parallel": true,
"self": 909.1266494489196,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.002048278000074788,
"count": 1,
"is_parallel": true,
"self": 0.0006945780000933155,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013536999999814725,
"count": 8,
"is_parallel": true,
"self": 0.0013536999999814725
}
}
},
"UnityEnvironment.step": {
"total": 0.04974188899996079,
"count": 1,
"is_parallel": true,
"self": 0.0005939019997640571,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0005034830001022783,
"count": 1,
"is_parallel": true,
"self": 0.0005034830001022783
},
"communicator.exchange": {
"total": 0.04703579899978649,
"count": 1,
"is_parallel": true,
"self": 0.04703579899978649
},
"steps_from_proto": {
"total": 0.001608705000307964,
"count": 1,
"is_parallel": true,
"self": 0.00034465100043235,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.001264053999875614,
"count": 8,
"is_parallel": true,
"self": 0.001264053999875614
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1445.0778426059792,
"count": 64354,
"is_parallel": true,
"self": 34.53491042501082,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 25.40044706404342,
"count": 64354,
"is_parallel": true,
"self": 25.40044706404342
},
"communicator.exchange": {
"total": 1283.7025921369323,
"count": 64354,
"is_parallel": true,
"self": 1283.7025921369323
},
"steps_from_proto": {
"total": 101.43989297999269,
"count": 64354,
"is_parallel": true,
"self": 20.75934694008629,
"children": {
"_process_rank_one_or_two_observation": {
"total": 80.6805460399064,
"count": 514832,
"is_parallel": true,
"self": 80.6805460399064
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 648.4628181079415,
"count": 64355,
"self": 2.8842963139659332,
"children": {
"process_trajectory": {
"total": 133.88539435397206,
"count": 64355,
"self": 133.60391198997195,
"children": {
"RLTrainer._checkpoint": {
"total": 0.2814823640001123,
"count": 2,
"self": 0.2814823640001123
}
}
},
"_update_policy": {
"total": 511.69312744000354,
"count": 458,
"self": 305.67145984404397,
"children": {
"TorchPPOOptimizer.update": {
"total": 206.02166759595957,
"count": 22788,
"self": 206.02166759595957
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1060001270379871e-06,
"count": 1,
"self": 1.1060001270379871e-06
},
"TrainerController._save_models": {
"total": 0.08141467800032842,
"count": 1,
"self": 0.0013614460003736895,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08005323199995473,
"count": 1,
"self": 0.08005323199995473
}
}
}
}
}
}
}