{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.1636883020401001, "min": 0.1525374948978424, "max": 1.3941541910171509, "count": 80 }, "Pyramids.Policy.Entropy.sum": { "value": 4913.26806640625, "min": 4573.458984375, "max": 42293.0625, "count": 80 }, "Pyramids.Step.mean": { "value": 2399984.0, "min": 29952.0, "max": 2399984.0, "count": 80 }, "Pyramids.Step.sum": { "value": 2399984.0, "min": 29952.0, "max": 2399984.0, "count": 80 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.877824068069458, "min": -0.08300644904375076, "max": 0.8972458243370056, "count": 80 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 270.36981201171875, "min": -19.921546936035156, "max": 276.3517150878906, "count": 80 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": -0.0005567484186030924, "min": -0.011711052618920803, "max": 0.3528859615325928, "count": 80 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": -0.1714785099029541, "min": -3.5133156776428223, "max": 83.63397216796875, "count": 80 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.07060801872978031, "min": 0.0648923445288305, "max": 0.07347598613452201, "count": 80 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9885122622169245, "min": 0.5143319029416541, "max": 1.0592264270138307, "count": 80 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.013275333969864906, "min": 0.0009583948512222454, "max": 0.015751608843371893, "count": 80 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.18585467557810867, "min": 0.013417527917111436, "max": 0.2362741326505784, "count": 80 }, "Pyramids.Policy.LearningRate.mean": { "value": 6.14473723747119e-05, "min": 6.14473723747119e-05, "max": 0.00029838354339596195, "count": 80 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.0008602632132459666, "min": 0.0008602632132459666, "max": 0.004011015462994866, "count": 80 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.12048243095238097, "min": 0.12048243095238097, "max": 0.19946118095238097, "count": 80 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.6867540333333335, "min": 1.3962282666666668, "max": 2.767431333333333, "count": 80 }, "Pyramids.Policy.Beta.mean": { "value": 0.002056194852142857, "min": 0.002056194852142857, "max": 0.009946171977142856, "count": 80 }, "Pyramids.Policy.Beta.sum": { "value": 0.02878672793, "min": 0.02878672793, "max": 0.13370681282, "count": 80 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.01192989107221365, "min": 0.01165645569562912, "max": 0.41311928629875183, "count": 80 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.16701847314834595, "min": 0.16319037973880768, "max": 2.8918349742889404, "count": 80 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 207.73611111111111, "min": 207.73611111111111, "max": 999.0, "count": 80 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29914.0, "min": 15984.0, "max": 32646.0, "count": 80 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.7914615273475647, "min": -1.0000000521540642, "max": 1.7914615273475647, "count": 80 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 256.17899841070175, "min": -28.675801649689674, "max": 261.24019841849804, "count": 80 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.7914615273475647, "min": -1.0000000521540642, "max": 1.7914615273475647, "count": 80 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 256.17899841070175, "min": -28.675801649689674, "max": 261.24019841849804, "count": 80 }, "Pyramids.Policy.RndReward.mean": { "value": 0.025739165258674656, "min": 0.025739165258674656, "max": 7.974468408152461, "count": 80 }, "Pyramids.Policy.RndReward.sum": { "value": 3.680700631990476, "min": 3.5926979320356622, "max": 127.59149453043938, "count": 80 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 80 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 80 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1698895914", "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [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": "2.1.0+cu118", "numpy_version": "1.23.5", "end_time_seconds": "1698901615" }, "total": 5701.679227824001, "count": 1, "self": 0.43306136400133255, "children": { "run_training.setup": { "total": 0.04325423199998113, "count": 1, "self": 0.04325423199998113 }, "TrainerController.start_learning": { "total": 5701.202912228, "count": 1, "self": 3.1982499670612015, "children": { "TrainerController._reset_env": { "total": 3.5935334910000165, "count": 1, "self": 3.5935334910000165 }, "TrainerController.advance": { "total": 5694.41112749794, "count": 156980, "self": 3.358982822249345, "children": { "env_step": { "total": 4197.545172979842, "count": 156980, "self": 3894.0784745269007, "children": { "SubprocessEnvManager._take_step": { "total": 301.57456019289566, "count": 156980, "self": 11.144125930893324, "children": { "TorchPolicy.evaluate": { "total": 290.43043426200234, "count": 151193, "self": 290.43043426200234 } } }, "workers": { "total": 1.8921382600460674, "count": 156980, "self": 0.0, "children": { "worker_root": { "total": 5690.184170921034, "count": 156980, "is_parallel": true, "self": 2067.1729971689288, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0017789000000902888, "count": 1, "is_parallel": true, "self": 0.000583046000201648, "children": { "_process_rank_one_or_two_observation": { "total": 0.0011958539998886408, "count": 8, "is_parallel": true, "self": 0.0011958539998886408 } } }, "UnityEnvironment.step": { "total": 0.050842525999996724, "count": 1, "is_parallel": true, "self": 0.0005773279999630176, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005438380001123733, "count": 1, "is_parallel": true, "self": 0.0005438380001123733 }, "communicator.exchange": { "total": 0.04807752800002163, "count": 1, "is_parallel": true, "self": 0.04807752800002163 }, "steps_from_proto": { "total": 0.001643831999899703, "count": 1, "is_parallel": true, "self": 0.0003590429998894251, "children": { "_process_rank_one_or_two_observation": { "total": 0.001284789000010278, "count": 8, "is_parallel": true, "self": 0.001284789000010278 } } } } } } }, "UnityEnvironment.step": { "total": 3623.011173752105, "count": 156979, "is_parallel": true, "self": 81.86751198784486, "children": { "UnityEnvironment._generate_step_input": { "total": 56.64936214001159, "count": 156979, "is_parallel": true, "self": 56.64936214001159 }, "communicator.exchange": { "total": 3252.9092989610544, "count": 156979, "is_parallel": true, "self": 3252.9092989610544 }, "steps_from_proto": { "total": 231.58500066319448, "count": 156979, "is_parallel": true, "self": 45.758665103519206, "children": { "_process_rank_one_or_two_observation": { "total": 185.82633555967527, "count": 1255832, "is_parallel": true, "self": 185.82633555967527 } } } } } } } } } } }, "trainer_advance": { "total": 1493.5069716958483, "count": 156980, "self": 6.370412967928132, "children": { "process_trajectory": { "total": 296.43930592192055, "count": 156980, "self": 296.03893012292065, "children": { "RLTrainer._checkpoint": { "total": 0.40037579899990305, "count": 4, "self": 0.40037579899990305 } } }, "_update_policy": { "total": 1190.6972528059996, "count": 1125, "self": 708.2882078149589, "children": { "TorchPPOOptimizer.update": { "total": 482.4090449910407, "count": 55071, "self": 482.4090449910407 } } } } } } }, "trainer_threads": { "total": 1.2719992810161784e-06, "count": 1, "self": 1.2719992810161784e-06 } } } } }