{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.24936416745185852, "min": 0.24936416745185852, "max": 1.4051644802093506, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 7464.9658203125, "min": 7464.9658203125, "max": 42627.0703125, "count": 33 }, "Pyramids.Step.mean": { "value": 989881.0, "min": 29952.0, "max": 989881.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989881.0, "min": 29952.0, "max": 989881.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.7536392211914062, "min": -0.09098625928163528, "max": 0.7536392211914062, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 217.80172729492188, "min": -21.927688598632812, "max": 220.515625, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.02987665869295597, "min": 0.009689689613878727, "max": 0.4815498888492584, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 8.634354591369629, "min": 2.625905990600586, "max": 114.12732696533203, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06585097097701566, "min": 0.0636963303458433, "max": 0.0726176526505868, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9219135936782192, "min": 0.4897592646433121, "max": 1.0370636624332596, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.014575587145342421, "min": 0.0008916798511689057, "max": 0.01626113687014352, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.2040582200347939, "min": 0.012079702417571168, "max": 0.23911999024373165, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.575526046285715e-06, "min": 7.575526046285715e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.000106057364648, "min": 0.000106057364648, "max": 0.0037609462463512994, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10252514285714286, "min": 0.10252514285714286, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.435352, "min": 1.3886848, "max": 2.6536486999999997, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.00026226177142857143, "min": 0.00026226177142857143, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0036716648, "min": 0.0036716648, "max": 0.12537950513, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.013514531776309013, "min": 0.013514531776309013, "max": 0.3805174231529236, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.1892034411430359, "min": 0.1892034411430359, "max": 2.6636219024658203, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 255.78947368421052, "min": 244.1496062992126, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29160.0, "min": 15984.0, "max": 32490.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.726659633219242, "min": -1.0000000521540642, "max": 1.7400960483419614, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 196.8391981869936, "min": -28.52100171893835, "max": 220.9921981394291, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.726659633219242, "min": -1.0000000521540642, "max": 1.7400960483419614, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 196.8391981869936, "min": -28.52100171893835, "max": 220.9921981394291, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.03599115809986854, "min": 0.033900316211112634, "max": 7.425204239785671, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 4.1029920233850135, "min": 4.0881626792106545, "max": 118.80326783657074, "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": "1693390350", "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": "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": "1693393324" }, "total": 2974.1801832939996, "count": 1, "self": 0.6777648669999508, "children": { "run_training.setup": { "total": 0.05686271800004761, "count": 1, "self": 0.05686271800004761 }, "TrainerController.start_learning": { "total": 2973.4455557089996, "count": 1, "self": 1.9235907588877126, "children": { "TrainerController._reset_env": { "total": 1.372548924000057, "count": 1, "self": 1.372548924000057 }, "TrainerController.advance": { "total": 2970.042195750112, "count": 64211, "self": 1.8871579190017655, "children": { "env_step": { "total": 1913.17172440614, "count": 64211, "self": 1797.9218683101192, "children": { "SubprocessEnvManager._take_step": { "total": 114.09509390504218, "count": 64211, "self": 5.727200922096017, "children": { "TorchPolicy.evaluate": { "total": 108.36789298294616, "count": 62562, "self": 108.36789298294616 } } }, "workers": { "total": 1.1547621909785448, "count": 64211, "self": 0.0, "children": { "worker_root": { "total": 2967.0952982510935, "count": 64211, "is_parallel": true, "self": 1313.792350405075, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0029483349999281927, "count": 1, "is_parallel": true, "self": 0.00096883300011541, "children": { "_process_rank_one_or_two_observation": { "total": 0.0019795019998127827, "count": 8, "is_parallel": true, "self": 0.0019795019998127827 } } }, "UnityEnvironment.step": { "total": 0.05716452699994079, "count": 1, "is_parallel": true, "self": 0.0006365139997797087, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00041577999991204706, "count": 1, "is_parallel": true, "self": 0.00041577999991204706 }, "communicator.exchange": { "total": 0.05368748800015055, "count": 1, "is_parallel": true, "self": 0.05368748800015055 }, "steps_from_proto": { "total": 0.0024247450000984827, "count": 1, "is_parallel": true, "self": 0.00047059900020940404, "children": { "_process_rank_one_or_two_observation": { "total": 0.0019541459998890787, "count": 8, "is_parallel": true, "self": 0.0019541459998890787 } } } } } } }, "UnityEnvironment.step": { "total": 1653.3029478460185, "count": 64210, "is_parallel": true, "self": 40.84065656018629, "children": { "UnityEnvironment._generate_step_input": { "total": 24.603716941963285, "count": 64210, "is_parallel": true, "self": 24.603716941963285 }, "communicator.exchange": { "total": 1456.0326902619142, "count": 64210, "is_parallel": true, "self": 1456.0326902619142 }, "steps_from_proto": { "total": 131.82588408195465, "count": 64210, "is_parallel": true, "self": 27.1126979592309, "children": { "_process_rank_one_or_two_observation": { "total": 104.71318612272376, "count": 513680, "is_parallel": true, "self": 104.71318612272376 } } } } } } } } } } }, "trainer_advance": { "total": 1054.9833134249707, "count": 64211, "self": 3.543834120950123, "children": { "process_trajectory": { "total": 137.48813881101614, "count": 64211, "self": 137.248437354016, "children": { "RLTrainer._checkpoint": { "total": 0.23970145700013745, "count": 2, "self": 0.23970145700013745 } } }, "_update_policy": { "total": 913.9513404930044, "count": 454, "self": 424.4370314940063, "children": { "TorchPPOOptimizer.update": { "total": 489.5143089989981, "count": 22761, "self": 489.5143089989981 } } } } } } }, "trainer_threads": { "total": 1.1459997040219605e-06, "count": 1, "self": 1.1459997040219605e-06 }, "TrainerController._save_models": { "total": 0.10721912999997585, "count": 1, "self": 0.0014496280000457773, "children": { "RLTrainer._checkpoint": { "total": 0.10576950199993007, "count": 1, "self": 0.10576950199993007 } } } } } } }