| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.4229440987110138, |
| "min": 0.4189181327819824, |
| "max": 1.523527979850769, |
| "count": 37 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 12613.884765625, |
| "min": 12520.625, |
| "max": 46217.74609375, |
| "count": 37 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 1109950.0, |
| "min": 29952.0, |
| "max": 1109950.0, |
| "count": 37 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 1109950.0, |
| "min": 29952.0, |
| "max": 1109950.0, |
| "count": 37 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.5420405864715576, |
| "min": -0.11092951893806458, |
| "max": 0.5420405864715576, |
| "count": 37 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 149.0611572265625, |
| "min": -26.84494400024414, |
| "max": 149.78140258789062, |
| "count": 37 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 0.005026669707149267, |
| "min": -0.003389290999621153, |
| "max": 0.42502084374427795, |
| "count": 37 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 1.3823341131210327, |
| "min": -0.9049407243728638, |
| "max": 100.72994232177734, |
| "count": 37 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.07108240525513113, |
| "min": 0.06528723666985735, |
| "max": 0.0742275493539637, |
| "count": 37 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.9951536735718357, |
| "min": 0.47906342694260196, |
| "max": 1.0898301629440894, |
| "count": 37 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.012519621625775799, |
| "min": 0.00038778672072526673, |
| "max": 0.014062284119445545, |
| "count": 37 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.17527470276086118, |
| "min": 0.0050412273694284675, |
| "max": 0.20037357302984066, |
| "count": 37 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 0.0001904392293774119, |
| "min": 0.0001904392293774119, |
| "max": 0.00029838354339596195, |
| "count": 37 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 0.0026661492112837666, |
| "min": 0.0020691136102954665, |
| "max": 0.003759513146829, |
| "count": 37 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.16347973095238094, |
| "min": 0.16347973095238094, |
| "max": 0.19946118095238097, |
| "count": 37 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 2.288716233333333, |
| "min": 1.3897045333333333, |
| "max": 2.752557733333333, |
| "count": 37 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.006351625122142857, |
| "min": 0.006351625122142857, |
| "max": 0.009946171977142856, |
| "count": 37 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.08892275171, |
| "min": 0.06897148288, |
| "max": 0.1253317829, |
| "count": 37 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.006684461142867804, |
| "min": 0.006684461142867804, |
| "max": 0.36375197768211365, |
| "count": 37 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.09358245879411697, |
| "min": 0.09358245879411697, |
| "max": 2.5462639331817627, |
| "count": 37 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 329.22093023255815, |
| "min": 329.22093023255815, |
| "max": 999.0, |
| "count": 37 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 28313.0, |
| "min": 15984.0, |
| "max": 32598.0, |
| "count": 37 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.6009906757363053, |
| "min": -1.0000000521540642, |
| "max": 1.6009906757363053, |
| "count": 37 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 137.68519811332226, |
| "min": -32.000001668930054, |
| "max": 137.68519811332226, |
| "count": 37 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.6009906757363053, |
| "min": -1.0000000521540642, |
| "max": 1.6009906757363053, |
| "count": 37 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 137.68519811332226, |
| "min": -32.000001668930054, |
| "max": 137.68519811332226, |
| "count": 37 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.02284779747271894, |
| "min": 0.02284779747271894, |
| "max": 7.149970472790301, |
| "count": 37 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 1.964910582653829, |
| "min": 1.964910582653829, |
| "max": 114.39952756464481, |
| "count": 37 |
| }, |
| "Pyramids.IsTraining.mean": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 37 |
| }, |
| "Pyramids.IsTraining.sum": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 37 |
| } |
| }, |
| "metadata": { |
| "timer_format_version": "0.1.0", |
| "start_time_seconds": "1679612196", |
| "python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[GCC 9.4.0]", |
| "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": "1679614488" |
| }, |
| "total": 2291.9120064339995, |
| "count": 1, |
| "self": 0.5707430259999455, |
| "children": { |
| "run_training.setup": { |
| "total": 0.1858476370000517, |
| "count": 1, |
| "self": 0.1858476370000517 |
| }, |
| "TrainerController.start_learning": { |
| "total": 2291.1554157709998, |
| "count": 1, |
| "self": 1.4363098690323568, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 9.442500624999866, |
| "count": 1, |
| "self": 9.442500624999866 |
| }, |
| "TrainerController.advance": { |
| "total": 2279.9776958459674, |
| "count": 71988, |
| "self": 1.5922970449742024, |
| "children": { |
| "env_step": { |
| "total": 1583.661105826942, |
| "count": 71988, |
| "self": 1462.2204458579392, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 120.52798532802717, |
| "count": 71988, |
| "self": 5.212469179051368, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 115.3155161489758, |
| "count": 70745, |
| "self": 115.3155161489758 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.9126746409756379, |
| "count": 71987, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 2286.1412903539226, |
| "count": 71987, |
| "is_parallel": true, |
| "self": 952.1478324109278, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.004751907999889227, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0033636399998613342, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0013882680000278924, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0013882680000278924 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.047330315999943195, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005455760001495946, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0004437469999629684, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004437469999629684 |
| }, |
| "communicator.exchange": { |
| "total": 0.044805161999875054, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.044805161999875054 |
| }, |
| "steps_from_proto": { |
| "total": 0.0015358309999555786, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.00033245999998143816, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0012033709999741404, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0012033709999741404 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 1333.9934579429948, |
| "count": 71986, |
| "is_parallel": true, |
| "self": 35.36945377094594, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 25.69136506301743, |
| "count": 71986, |
| "is_parallel": true, |
| "self": 25.69136506301743 |
| }, |
| "communicator.exchange": { |
| "total": 1171.6244269460249, |
| "count": 71986, |
| "is_parallel": true, |
| "self": 1171.6244269460249 |
| }, |
| "steps_from_proto": { |
| "total": 101.3082121630066, |
| "count": 71986, |
| "is_parallel": true, |
| "self": 21.470143655967604, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 79.838068507039, |
| "count": 575888, |
| "is_parallel": true, |
| "self": 79.838068507039 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 694.7242929740512, |
| "count": 71987, |
| "self": 2.852848954955789, |
| "children": { |
| "process_trajectory": { |
| "total": 129.29073910309467, |
| "count": 71987, |
| "self": 128.98020645009478, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.310532652999882, |
| "count": 2, |
| "self": 0.310532652999882 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 562.5807049160007, |
| "count": 497, |
| "self": 356.25463191701147, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 206.32607299898928, |
| "count": 25809, |
| "self": 206.32607299898928 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 1.4199999895936344e-06, |
| "count": 1, |
| "self": 1.4199999895936344e-06 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.2989080110000941, |
| "count": 1, |
| "self": 0.0018941320004159934, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.2970138789996781, |
| "count": 1, |
| "self": 0.2970138789996781 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
