{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.486996591091156, "min": 0.486996591091156, "max": 1.4242254495620728, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 14750.15234375, "min": 14540.416015625, "max": 43205.3046875, "count": 33 }, "Pyramids.Step.mean": { "value": 989875.0, "min": 29952.0, "max": 989875.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989875.0, "min": 29952.0, "max": 989875.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.3055868446826935, "min": -0.17805148661136627, "max": 0.3058088421821594, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 78.8414077758789, "min": -42.198204040527344, "max": 78.898681640625, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.12914115190505981, "min": -0.052916597574949265, "max": 0.3898909389972687, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 33.318416595458984, "min": -13.440815925598145, "max": 100.59186553955078, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06805526319507564, "min": 0.06375051131869686, "max": 0.0728011192433696, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9527736847310591, "min": 0.48326776962594836, "max": 1.0483128063982199, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.017815904696625254, "min": 7.603504979289032e-05, "max": 0.02730087861714518, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.24942266575275354, "min": 0.0008363855477217936, "max": 0.4095131792571777, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.340411838942861e-06, "min": 7.340411838942861e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010276576574520006, "min": 0.00010276576574520006, "max": 0.0028548550483816996, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10244677142857146, "min": 0.10244677142857146, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4342548000000004, "min": 1.3886848, "max": 2.151787, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.00025443246571428584, "min": 0.00025443246571428584, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0035620545200000017, "min": 0.0035620545200000017, "max": 0.09517666816999999, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.013991347514092922, "min": 0.013991347514092922, "max": 0.5212879776954651, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.19587886333465576, "min": 0.19587886333465576, "max": 3.6490159034729004, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 527.8035714285714, "min": 522.1851851851852, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29557.0, "min": 15984.0, "max": 33458.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.2243789234443714, "min": -1.0000000521540642, "max": 1.2243789234443714, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 69.78959863632917, "min": -31.998401671648026, "max": 69.78959863632917, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.2243789234443714, "min": -1.0000000521540642, "max": 1.2243789234443714, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 69.78959863632917, "min": -31.998401671648026, "max": 69.78959863632917, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.07805630863540021, "min": 0.07805630863540021, "max": 10.530504275113344, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 4.449209592217812, "min": 4.279579745896626, "max": 168.4880684018135, "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": "1681324497", "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": "1681327984" }, "total": 3487.0558945330004, "count": 1, "self": 0.6304758489986853, "children": { "run_training.setup": { "total": 0.23466018500039354, "count": 1, "self": 0.23466018500039354 }, "TrainerController.start_learning": { "total": 3486.1907584990013, "count": 1, "self": 2.604260112375414, "children": { "TrainerController._reset_env": { "total": 1.528674265000518, "count": 1, "self": 1.528674265000518 }, "TrainerController.advance": { "total": 3481.9336912376248, "count": 63237, "self": 2.8473599843418924, "children": { "env_step": { "total": 2213.245194096183, "count": 63237, "self": 2056.6143730084177, "children": { "SubprocessEnvManager._take_step": { "total": 155.03976557484384, "count": 63237, "self": 8.446387932655853, "children": { "TorchPolicy.evaluate": { "total": 146.593377642188, "count": 62562, "self": 146.593377642188 } } }, "workers": { "total": 1.5910555129212298, "count": 63237, "self": 0.0, "children": { "worker_root": { "total": 3478.435804958095, "count": 63237, "is_parallel": true, "self": 1611.9844212741154, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0035343939998710994, "count": 1, "is_parallel": true, "self": 0.0009407769994140835, "children": { "_process_rank_one_or_two_observation": { "total": 0.002593617000457016, "count": 8, "is_parallel": true, "self": 0.002593617000457016 } } }, "UnityEnvironment.step": { "total": 0.09600902500005759, "count": 1, "is_parallel": true, "self": 0.0006653350001215586, "children": { "UnityEnvironment._generate_step_input": { "total": 0.000571126000068034, "count": 1, "is_parallel": true, "self": 0.000571126000068034 }, "communicator.exchange": { "total": 0.09283758299989131, "count": 1, "is_parallel": true, "self": 0.09283758299989131 }, "steps_from_proto": { "total": 0.0019349809999766876, "count": 1, "is_parallel": true, "self": 0.00043154399827471934, "children": { "_process_rank_one_or_two_observation": { "total": 0.0015034370017019683, "count": 8, "is_parallel": true, "self": 0.0015034370017019683 } } } } } } }, "UnityEnvironment.step": { "total": 1866.4513836839797, "count": 63236, "is_parallel": true, "self": 47.77846558004876, "children": { "UnityEnvironment._generate_step_input": { "total": 29.074938155909877, "count": 63236, "is_parallel": true, "self": 29.074938155909877 }, "communicator.exchange": { "total": 1650.2552256640074, "count": 63236, "is_parallel": true, "self": 1650.2552256640074 }, "steps_from_proto": { "total": 139.3427542840136, "count": 63236, "is_parallel": true, "self": 31.985894787511825, "children": { "_process_rank_one_or_two_observation": { "total": 107.35685949650178, "count": 505888, "is_parallel": true, "self": 107.35685949650178 } } } } } } } } } } }, "trainer_advance": { "total": 1265.8411371571, "count": 63237, "self": 4.63614976419467, "children": { "process_trajectory": { "total": 158.55797197491938, "count": 63237, "self": 158.30090148391992, "children": { "RLTrainer._checkpoint": { "total": 0.25707049099946744, "count": 2, "self": 0.25707049099946744 } } }, "_update_policy": { "total": 1102.647015417986, "count": 424, "self": 438.5158481658318, "children": { "TorchPPOOptimizer.update": { "total": 664.1311672521542, "count": 22902, "self": 664.1311672521542 } } } } } } }, "trainer_threads": { "total": 1.0730000212788582e-06, "count": 1, "self": 1.0730000212788582e-06 }, "TrainerController._save_models": { "total": 0.12413181100055226, "count": 1, "self": 0.00226766299965675, "children": { "RLTrainer._checkpoint": { "total": 0.12186414800089551, "count": 1, "self": 0.12186414800089551 } } } } } } }