{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.3252579867839813, "min": 0.3235195577144623, "max": 1.453179955482483, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 9726.5146484375, "min": 9638.294921875, "max": 44083.66796875, "count": 33 }, "Pyramids.Step.mean": { "value": 989964.0, "min": 29879.0, "max": 989964.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989964.0, "min": 29879.0, "max": 989964.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.4424925446510315, "min": -0.10434960573911667, "max": 0.5264735221862793, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 118.1455078125, "min": -25.14825439453125, "max": 145.83316040039062, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.050865545868873596, "min": -0.010932265780866146, "max": 0.2839398682117462, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 13.581100463867188, "min": -2.7549309730529785, "max": 67.29374694824219, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06986476316454908, "min": 0.06598236975727208, "max": 0.07561312551193596, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9781066843036872, "min": 0.6049050040954876, "max": 1.0721081706190794, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.01465011511408236, "min": 0.0004442056894169132, "max": 0.015164360227312762, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.20510161159715304, "min": 0.0053304682730029584, "max": 0.21230104318237866, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.5946403256285685e-06, "min": 7.5946403256285685e-06, "max": 0.0002948482142172625, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010632496455879996, "min": 0.00010632496455879996, "max": 0.0033827849724051, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10253151428571429, "min": 0.10253151428571429, "max": 0.19828273749999997, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4354412, "min": 1.4354412, "max": 2.5275949, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.0002628982771428571, "min": 0.0002628982771428571, "max": 0.00982844547625, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.003680575879999999, "min": 0.003680575879999999, "max": 0.11278673051, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.01269929762929678, "min": 0.01269929762929678, "max": 0.4024084210395813, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.17779016494750977, "min": 0.17779016494750977, "max": 3.2192673683166504, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 381.2739726027397, "min": 349.0886075949367, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 27833.0, "min": 16422.0, "max": 32801.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.560577757863535, "min": -0.999987552408129, "max": 1.6255822546685799, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 112.36159856617451, "min": -31.999601677060127, "max": 129.5491985604167, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.560577757863535, "min": -0.999987552408129, "max": 1.6255822546685799, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 112.36159856617451, "min": -31.999601677060127, "max": 129.5491985604167, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.051165715402425524, "min": 0.04795081116763073, "max": 8.216747816871194, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 3.683931508974638, "min": 3.683931508974638, "max": 139.6847128868103, "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": "1691080668", "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": "1691082887" }, "total": 2218.554568293, "count": 1, "self": 0.5269482050002807, "children": { "run_training.setup": { "total": 0.06105930600006104, "count": 1, "self": 0.06105930600006104 }, "TrainerController.start_learning": { "total": 2217.9665607819998, "count": 1, "self": 1.3793323059881004, "children": { "TrainerController._reset_env": { "total": 5.182051232000049, "count": 1, "self": 5.182051232000049 }, "TrainerController.advance": { "total": 2211.3076113940115, "count": 63614, "self": 1.3156689509692114, "children": { "env_step": { "total": 1552.6022696659538, "count": 63614, "self": 1445.1393302629263, "children": { "SubprocessEnvManager._take_step": { "total": 106.65005668809908, "count": 63614, "self": 4.658920591068181, "children": { "TorchPolicy.evaluate": { "total": 101.9911360970309, "count": 62558, "self": 101.9911360970309 } } }, "workers": { "total": 0.8128827149284916, "count": 63614, "self": 0.0, "children": { "worker_root": { "total": 2212.8671464289787, "count": 63614, "is_parallel": true, "self": 880.6701716489783, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0025281180001002213, "count": 1, "is_parallel": true, "self": 0.0006913290003467409, "children": { "_process_rank_one_or_two_observation": { "total": 0.0018367889997534803, "count": 8, "is_parallel": true, "self": 0.0018367889997534803 } } }, "UnityEnvironment.step": { "total": 0.048955097000089154, "count": 1, "is_parallel": true, "self": 0.0005765220003013383, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00048753900000519934, "count": 1, "is_parallel": true, "self": 0.00048753900000519934 }, "communicator.exchange": { "total": 0.04595208899991121, "count": 1, "is_parallel": true, "self": 0.04595208899991121 }, "steps_from_proto": { "total": 0.0019389469998714048, "count": 1, "is_parallel": true, "self": 0.0003766189984162338, "children": { "_process_rank_one_or_two_observation": { "total": 0.001562328001455171, "count": 8, "is_parallel": true, "self": 0.001562328001455171 } } } } } } }, "UnityEnvironment.step": { "total": 1332.1969747800003, "count": 63613, "is_parallel": true, "self": 34.32032255804688, "children": { "UnityEnvironment._generate_step_input": { "total": 23.27197461302967, "count": 63613, "is_parallel": true, "self": 23.27197461302967 }, "communicator.exchange": { "total": 1168.8246740198879, "count": 63613, "is_parallel": true, "self": 1168.8246740198879 }, "steps_from_proto": { "total": 105.78000358903591, "count": 63613, "is_parallel": true, "self": 20.648237055858317, "children": { "_process_rank_one_or_two_observation": { "total": 85.1317665331776, "count": 508904, "is_parallel": true, "self": 85.1317665331776 } } } } } } } } } } }, "trainer_advance": { "total": 657.3896727770884, "count": 63614, "self": 2.5455548610643746, "children": { "process_trajectory": { "total": 108.5161281380233, "count": 63614, "self": 108.22954282502315, "children": { "RLTrainer._checkpoint": { "total": 0.28658531300015966, "count": 2, "self": 0.28658531300015966 } } }, "_update_policy": { "total": 546.3279897780008, "count": 449, "self": 357.8409215240208, "children": { "TorchPPOOptimizer.update": { "total": 188.48706825397994, "count": 22833, "self": 188.48706825397994 } } } } } } }, "trainer_threads": { "total": 9.650002539274283e-07, "count": 1, "self": 9.650002539274283e-07 }, "TrainerController._save_models": { "total": 0.09756488499988336, "count": 1, "self": 0.0013300049995450536, "children": { "RLTrainer._checkpoint": { "total": 0.09623488000033831, "count": 1, "self": 0.09623488000033831 } } } } } } }