{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.17490901052951813, "min": 0.16398131847381592, "max": 1.4302674531936646, "count": 100 }, "Pyramids.Policy.Entropy.sum": { "value": 5278.05419921875, "min": 4903.697265625, "max": 43388.59375, "count": 100 }, "Pyramids.Step.mean": { "value": 2999951.0, "min": 29952.0, "max": 2999951.0, "count": 100 }, "Pyramids.Step.sum": { "value": 2999951.0, "min": 29952.0, "max": 2999951.0, "count": 100 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.7282366752624512, "min": -0.10632584989070892, "max": 0.8514661192893982, "count": 100 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 211.18862915039062, "min": -25.518203735351562, "max": 258.845703125, "count": 100 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": -0.010904678143560886, "min": -0.019113825634121895, "max": 0.645065426826477, "count": 100 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": -3.1623566150665283, "min": -5.791489124298096, "max": 152.88050842285156, "count": 100 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.07045070029562339, "min": 0.06448170247578051, "max": 0.07583584167973723, "count": 100 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9863098041387275, "min": 0.5011433693446519, "max": 1.101917128583106, "count": 100 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.015463917435789924, "min": 0.00047009329222738805, "max": 0.02875869644473222, "count": 100 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.21649484410105893, "min": 0.006111212798956045, "max": 0.2539350916665759, "count": 100 }, "Pyramids.Policy.LearningRate.mean": { "value": 1.4725209377642907e-06, "min": 1.4725209377642907e-06, "max": 0.00029838354339596195, "count": 100 }, "Pyramids.Policy.LearningRate.sum": { "value": 2.061529312870007e-05, "min": 2.061529312870007e-05, "max": 0.0038429512190162997, "count": 100 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10049080714285714, "min": 0.10049080714285714, "max": 0.19946118095238097, "count": 100 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4068713, "min": 1.3897045333333333, "max": 2.722569266666667, "count": 100 }, "Pyramids.Policy.Beta.mean": { "value": 5.903163357142875e-05, "min": 5.903163357142875e-05, "max": 0.009946171977142856, "count": 100 }, "Pyramids.Policy.Beta.sum": { "value": 0.0008264428700000025, "min": 0.0008264428700000025, "max": 0.12811027163, "count": 100 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.005767387803643942, "min": 0.00550212012603879, "max": 0.593696653842926, "count": 100 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.08074343204498291, "min": 0.07702968269586563, "max": 4.155876636505127, "count": 100 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 236.5984251968504, "min": 217.13533834586465, "max": 999.0, "count": 100 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30048.0, "min": 15984.0, "max": 32849.0, "count": 100 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.7476456504989797, "min": -1.0000000521540642, "max": 1.7744094390334106, "count": 100 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 221.95099761337042, "min": -32.000001668930054, "max": 241.5609978362918, "count": 100 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.7476456504989797, "min": -1.0000000521540642, "max": 1.7744094390334106, "count": 100 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 221.95099761337042, "min": -32.000001668930054, "max": 241.5609978362918, "count": 100 }, "Pyramids.Policy.RndReward.mean": { "value": 0.014373364153592645, "min": 0.0126526198067389, "max": 14.521467708051205, "count": 100 }, "Pyramids.Policy.RndReward.sum": { "value": 1.825417247506266, "min": 1.6723010244968464, "max": 232.34348332881927, "count": 100 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 100 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 100 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1682587399", "python_version": "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]", "command_line_arguments": "/home/ntrant/anaconda3/envs/rl/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+cu113", "numpy_version": "1.21.2", "end_time_seconds": "1682589781" }, "total": 2382.4878098119516, "count": 1, "self": 0.21826302981935441, "children": { "run_training.setup": { "total": 0.01288121403194964, "count": 1, "self": 0.01288121403194964 }, "TrainerController.start_learning": { "total": 2382.2566655681003, "count": 1, "self": 1.9276359151117504, "children": { "TrainerController._reset_env": { "total": 3.888193927006796, "count": 1, "self": 3.888193927006796 }, "TrainerController.advance": { "total": 2376.393455961952, "count": 194535, "self": 1.8915775606874377, "children": { "env_step": { "total": 1443.0404986417852, "count": 194535, "self": 1283.5638633763883, "children": { "SubprocessEnvManager._take_step": { "total": 158.27946001267992, "count": 194535, "self": 6.123884355183691, "children": { "TorchPolicy.evaluate": { "total": 152.15557565749623, "count": 187557, "self": 152.15557565749623 } } }, "workers": { "total": 1.1971752527169883, "count": 194535, "self": 0.0, "children": { "worker_root": { "total": 2379.4368221322075, "count": 194535, "is_parallel": true, "self": 1226.9768003886566, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0009483250323683023, "count": 1, "is_parallel": true, "self": 0.0002904192078858614, "children": { "_process_rank_one_or_two_observation": { "total": 0.000657905824482441, "count": 8, "is_parallel": true, "self": 0.000657905824482441 } } }, "UnityEnvironment.step": { "total": 0.02145201014354825, "count": 1, "is_parallel": true, "self": 0.00024907919578254223, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00029695802368223667, "count": 1, "is_parallel": true, "self": 0.00029695802368223667 }, "communicator.exchange": { "total": 0.020106848096475005, "count": 1, "is_parallel": true, "self": 0.020106848096475005 }, "steps_from_proto": { "total": 0.0007991248276084661, "count": 1, "is_parallel": true, "self": 0.00018501910381019115, "children": { "_process_rank_one_or_two_observation": { "total": 0.000614105723798275, "count": 8, "is_parallel": true, "self": 0.000614105723798275 } } } } } } }, "UnityEnvironment.step": { "total": 1152.460021743551, "count": 194534, "is_parallel": true, "self": 37.468936015153304, "children": { "UnityEnvironment._generate_step_input": { "total": 25.305287588387728, "count": 194534, "is_parallel": true, "self": 25.305287588387728 }, "communicator.exchange": { "total": 981.8986218154896, "count": 194534, "is_parallel": true, "self": 981.8986218154896 }, "steps_from_proto": { "total": 107.78717632452026, "count": 194534, "is_parallel": true, "self": 23.479633159702644, "children": { "_process_rank_one_or_two_observation": { "total": 84.30754316481762, "count": 1556272, "is_parallel": true, "self": 84.30754316481762 } } } } } } } } } } }, "trainer_advance": { "total": 931.4613797594793, "count": 194535, "self": 3.435052201617509, "children": { "process_trajectory": { "total": 156.43625362799503, "count": 194535, "self": 156.13586911163293, "children": { "RLTrainer._checkpoint": { "total": 0.30038451636210084, "count": 6, "self": 0.30038451636210084 } } }, "_update_policy": { "total": 771.5900739298668, "count": 1390, "self": 467.68752431566827, "children": { "TorchPPOOptimizer.update": { "total": 303.9025496141985, "count": 68376, "self": 303.9025496141985 } } } } } } }, "trainer_threads": { "total": 6.400514394044876e-07, "count": 1, "self": 6.400514394044876e-07 }, "TrainerController._save_models": { "total": 0.047379123978316784, "count": 1, "self": 0.0005925619043409824, "children": { "RLTrainer._checkpoint": { "total": 0.0467865620739758, "count": 1, "self": 0.0467865620739758 } } } } } } }