{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.7800024747848511, "min": 0.7800024747848511, "max": 1.492328405380249, "count": 16 }, "Pyramids.Policy.Entropy.sum": { "value": 23300.234375, "min": 23300.234375, "max": 45271.2734375, "count": 16 }, "Pyramids.Step.mean": { "value": 479928.0, "min": 29952.0, "max": 479928.0, "count": 16 }, "Pyramids.Step.sum": { "value": 479928.0, "min": 29952.0, "max": 479928.0, "count": 16 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.1669306755065918, "min": -0.10548119992017746, "max": 0.1669306755065918, "count": 16 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 42.400390625, "min": -25.526451110839844, "max": 42.400390625, "count": 16 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.009646894410252571, "min": 0.009646894410252571, "max": 0.2548985183238983, "count": 16 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 2.4503111839294434, "min": 2.4503111839294434, "max": 61.17564392089844, "count": 16 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06815127445472416, "min": 0.06553023293326997, "max": 0.07233980885472154, "count": 16 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9541178423661382, "min": 0.49319122671002485, "max": 1.036600200171176, "count": 16 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.0103505900614862, "min": 0.0005839634877544695, "max": 0.0103505900614862, "count": 16 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.1449082608608068, "min": 0.006423598365299164, "max": 0.1449082608608068, "count": 16 }, "Pyramids.Policy.LearningRate.mean": { "value": 2.0494378882857143e-05, "min": 2.0494378882857143e-05, "max": 0.00029030126037577137, "count": 16 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00028692130436, "min": 0.00028692130436, "max": 0.0028540851486383995, "count": 16 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10683142857142858, "min": 0.10683142857142858, "max": 0.19676708571428575, "count": 16 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.49564, "min": 1.3773696000000002, "max": 2.3389772, "count": 16 }, "Pyramids.Policy.Beta.mean": { "value": 0.0006924597142857143, "min": 0.0006924597142857143, "max": 0.00967703186285714, "count": 16 }, "Pyramids.Policy.Beta.sum": { "value": 0.009694436, "min": 0.009694436, "max": 0.09517102384000001, "count": 16 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.02181384339928627, "min": 0.02181384339928627, "max": 0.496464341878891, "count": 16 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.3053938150405884, "min": 0.3053938150405884, "max": 3.475250482559204, "count": 16 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 637.0652173913044, "min": 637.0652173913044, "max": 999.0, "count": 16 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29305.0, "min": 15984.0, "max": 32892.0, "count": 16 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 0.8410564916937248, "min": -1.0000000521540642, "max": 0.8410564916937248, "count": 16 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 38.68859861791134, "min": -29.894001699984074, "max": 38.68859861791134, "count": 16 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 0.8410564916937248, "min": -1.0000000521540642, "max": 0.8410564916937248, "count": 16 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 38.68859861791134, "min": -29.894001699984074, "max": 38.68859861791134, "count": 16 }, "Pyramids.Policy.RndReward.mean": { "value": 0.14235590836893686, "min": 0.14235590836893686, "max": 11.02326258085668, "count": 16 }, "Pyramids.Policy.RndReward.sum": { "value": 6.548371784971096, "min": 6.548371784971096, "max": 176.3722012937069, "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": "1704266120", "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": "2.1.2+cu121", "numpy_version": "1.23.5", "end_time_seconds": "1704267188" }, "total": 1067.9648398160002, "count": 1, "self": 0.8652804830003333, "children": { "run_training.setup": { "total": 0.045333991999996215, "count": 1, "self": 0.045333991999996215 }, "TrainerController.start_learning": { "total": 1067.054225341, "count": 1, "self": 0.6509999029633491, "children": { "TrainerController._reset_env": { "total": 2.088056508999898, "count": 1, "self": 2.088056508999898 }, "TrainerController.advance": { "total": 1064.1860013190367, "count": 31656, "self": 0.705398285066849, "children": { "env_step": { "total": 746.373165559979, "count": 31656, "self": 680.9882246490295, "children": { "SubprocessEnvManager._take_step": { "total": 64.97696937499086, "count": 31656, "self": 2.3078984269579905, "children": { "TorchPolicy.evaluate": { "total": 62.66907094803287, "count": 31311, "self": 62.66907094803287 } } }, "workers": { "total": 0.4079715359587226, "count": 31656, "self": 0.0, "children": { "worker_root": { "total": 1064.4436975569656, "count": 31656, "is_parallel": true, "self": 441.608159535989, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0016721250001410226, "count": 1, "is_parallel": true, "self": 0.0005468800000016927, "children": { "_process_rank_one_or_two_observation": { "total": 0.00112524500013933, "count": 8, "is_parallel": true, "self": 0.00112524500013933 } } }, "UnityEnvironment.step": { "total": 0.04903191699986564, "count": 1, "is_parallel": true, "self": 0.0006089679995966435, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0004832930001157365, "count": 1, "is_parallel": true, "self": 0.0004832930001157365 }, "communicator.exchange": { "total": 0.04619089100015117, "count": 1, "is_parallel": true, "self": 0.04619089100015117 }, "steps_from_proto": { "total": 0.001748765000002095, "count": 1, "is_parallel": true, "self": 0.00037014700023974, "children": { "_process_rank_one_or_two_observation": { "total": 0.0013786179997623549, "count": 8, "is_parallel": true, "self": 0.0013786179997623549 } } } } } } }, "UnityEnvironment.step": { "total": 622.8355380209766, "count": 31655, "is_parallel": true, "self": 17.692013266958384, "children": { "UnityEnvironment._generate_step_input": { "total": 12.423755271042182, "count": 31655, "is_parallel": true, "self": 12.423755271042182 }, "communicator.exchange": { "total": 542.9301641639572, "count": 31655, "is_parallel": true, "self": 542.9301641639572 }, "steps_from_proto": { "total": 49.78960531901885, "count": 31655, "is_parallel": true, "self": 9.850868022121858, "children": { "_process_rank_one_or_two_observation": { "total": 39.93873729689699, "count": 253240, "is_parallel": true, "self": 39.93873729689699 } } } } } } } } } } }, "trainer_advance": { "total": 317.1074374739908, "count": 31656, "self": 1.2384242139783055, "children": { "process_trajectory": { "total": 61.082611301011866, "count": 31656, "self": 60.939489579011706, "children": { "RLTrainer._checkpoint": { "total": 0.14312172200015993, "count": 1, "self": 0.14312172200015993 } } }, "_update_policy": { "total": 254.7864019590006, "count": 215, "self": 151.89530220597157, "children": { "TorchPPOOptimizer.update": { "total": 102.89109975302904, "count": 11397, "self": 102.89109975302904 } } } } } } }, "trainer_threads": { "total": 1.1940001058974303e-06, "count": 1, "self": 1.1940001058974303e-06 }, "TrainerController._save_models": { "total": 0.12916641599986178, "count": 1, "self": 0.0022945889995753532, "children": { "RLTrainer._checkpoint": { "total": 0.12687182700028643, "count": 1, "self": 0.12687182700028643 } } } } } } }