{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.1393812596797943, "min": 0.1393812596797943, "max": 1.4600805044174194, "count": 100 }, "Pyramids.Policy.Entropy.sum": { "value": 4163.59716796875, "min": 4163.59716796875, "max": 44293.00390625, "count": 100 }, "Pyramids.Step.mean": { "value": 2999941.0, "min": 29952.0, "max": 2999941.0, "count": 100 }, "Pyramids.Step.sum": { "value": 2999941.0, "min": 29952.0, "max": 2999941.0, "count": 100 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.693597674369812, "min": -0.1745767444372177, "max": 0.8314973711967468, "count": 100 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 200.44972229003906, "min": -41.37468719482422, "max": 245.29171752929688, "count": 100 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.01610846258699894, "min": -0.02259635180234909, "max": 0.36757901310920715, "count": 100 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 4.655345916748047, "min": -6.259189605712891, "max": 87.11622619628906, "count": 100 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.0703070365762826, "min": 0.06417649519976712, "max": 0.07567170739933037, "count": 100 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9842985120679564, "min": 0.4688840791460624, "max": 1.0637842909588167, "count": 100 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.012899709565057751, "min": 3.441421429449427e-05, "max": 0.016918947943070504, "count": 100 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.18059593391080853, "min": 0.0004473847858284255, "max": 0.2422274477390673, "count": 100 }, "Pyramids.Policy.LearningRate.mean": { "value": 1.5663780493357156e-06, "min": 1.5663780493357156e-06, "max": 0.00029838354339596195, "count": 100 }, "Pyramids.Policy.LearningRate.sum": { "value": 2.192929269070002e-05, "min": 2.192929269070002e-05, "max": 0.003529971023343033, "count": 100 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10052209285714286, "min": 0.10052209285714286, "max": 0.19946118095238097, "count": 100 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4073093, "min": 1.3897045333333333, "max": 2.5875566666666674, "count": 100 }, "Pyramids.Policy.Beta.mean": { "value": 6.215707642857149e-05, "min": 6.215707642857149e-05, "max": 0.009946171977142856, "count": 100 }, "Pyramids.Policy.Beta.sum": { "value": 0.0008701990700000008, "min": 0.0008701990700000008, "max": 0.11767803097000001, "count": 100 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.005558049771934748, "min": 0.005558049771934748, "max": 0.31444793939590454, "count": 100 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.07781269401311874, "min": 0.07781269401311874, "max": 2.2011356353759766, "count": 100 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 260.9051724137931, "min": 213.55725190839695, "max": 999.0, "count": 100 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30265.0, "min": 15984.0, "max": 32775.0, "count": 100 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.6701172274248353, "min": -1.0000000521540642, "max": 1.7701666471971707, "count": 100 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 193.7335983812809, "min": -32.000001668930054, "max": 233.66199743002653, "count": 100 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.6701172274248353, "min": -1.0000000521540642, "max": 1.7701666471971707, "count": 100 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 193.7335983812809, "min": -32.000001668930054, "max": 233.66199743002653, "count": 100 }, "Pyramids.Policy.RndReward.mean": { "value": 0.01529131840878359, "min": 0.01418612290280945, "max": 6.1272799000144005, "count": 100 }, "Pyramids.Policy.RndReward.sum": { "value": 1.7737929354188964, "min": 1.691239808431419, "max": 98.03647840023041, "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": "1674668397", "python_version": "3.8.10 (default, Nov 14 2022, 12:59:47) \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": "0.29.0.dev0", "mlagents_envs_version": "0.29.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "1.8.1+cu102", "numpy_version": "1.21.6", "end_time_seconds": "1674674986" }, "total": 6588.625298175, "count": 1, "self": 0.47532884200063563, "children": { "run_training.setup": { "total": 0.10772796400033258, "count": 1, "self": 0.10772796400033258 }, "TrainerController.start_learning": { "total": 6588.042241368999, "count": 1, "self": 3.995755237981939, "children": { "TrainerController._reset_env": { "total": 6.134869720999632, "count": 1, "self": 6.134869720999632 }, "TrainerController.advance": { "total": 6577.826070638017, "count": 193087, "self": 3.968513090855595, "children": { "env_step": { "total": 4578.043302063129, "count": 193087, "self": 4249.517733832559, "children": { "SubprocessEnvManager._take_step": { "total": 326.03503741640316, "count": 193087, "self": 13.628242801607485, "children": { "TorchPolicy.evaluate": { "total": 312.4067946147957, "count": 187557, "self": 105.13227492770056, "children": { "TorchPolicy.sample_actions": { "total": 207.2745196870951, "count": 187557, "self": 207.2745196870951 } } } } }, "workers": { "total": 2.4905308141665046, "count": 193087, "self": 0.0, "children": { "worker_root": { "total": 6574.296670590558, "count": 193087, "is_parallel": true, "self": 2635.617659478471, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0018349060001128237, "count": 1, "is_parallel": true, "self": 0.000691457999892009, "children": { "_process_rank_one_or_two_observation": { "total": 0.0011434480002208147, "count": 8, "is_parallel": true, "self": 0.0011434480002208147 } } }, "UnityEnvironment.step": { "total": 0.04963875299972642, "count": 1, "is_parallel": true, "self": 0.000499378999847977, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005663980000463198, "count": 1, "is_parallel": true, "self": 0.0005663980000463198 }, "communicator.exchange": { "total": 0.04684669199968994, "count": 1, "is_parallel": true, "self": 0.04684669199968994 }, "steps_from_proto": { "total": 0.0017262840001421864, "count": 1, "is_parallel": true, "self": 0.0004422510000949842, "children": { "_process_rank_one_or_two_observation": { "total": 0.0012840330000472022, "count": 8, "is_parallel": true, "self": 0.0012840330000472022 } } } } } } }, "UnityEnvironment.step": { "total": 3938.679011112087, "count": 193086, "is_parallel": true, "self": 83.87159939221556, "children": { "UnityEnvironment._generate_step_input": { "total": 71.88812484226855, "count": 193086, "is_parallel": true, "self": 71.88812484226855 }, "communicator.exchange": { "total": 3490.8649132919904, "count": 193086, "is_parallel": true, "self": 3490.8649132919904 }, "steps_from_proto": { "total": 292.05437358561267, "count": 193086, "is_parallel": true, "self": 69.5771471440521, "children": { "_process_rank_one_or_two_observation": { "total": 222.47722644156056, "count": 1544688, "is_parallel": true, "self": 222.47722644156056 } } } } } } } } } } }, "trainer_advance": { "total": 1995.8142554840324, "count": 193087, "self": 7.263999075844822, "children": { "process_trajectory": { "total": 462.76671225617247, "count": 193087, "self": 462.2310994921718, "children": { "RLTrainer._checkpoint": { "total": 0.5356127640006889, "count": 6, "self": 0.5356127640006889 } } }, "_update_policy": { "total": 1525.783544152015, "count": 1366, "self": 570.3343731689529, "children": { "TorchPPOOptimizer.update": { "total": 955.4491709830622, "count": 68397, "self": 955.4491709830622 } } } } } } }, "trainer_threads": { "total": 1.1190004443051293e-06, "count": 1, "self": 1.1190004443051293e-06 }, "TrainerController._save_models": { "total": 0.08554465300039737, "count": 1, "self": 0.001361955000902526, "children": { "RLTrainer._checkpoint": { "total": 0.08418269799949485, "count": 1, "self": 0.08418269799949485 } } } } } } }