{ "name": "root", "gauges": { "SoccerTwos.Policy.Entropy.mean": { "value": 3.1272294521331787, "min": 3.1272294521331787, "max": 3.2957687377929688, "count": 57 }, "SoccerTwos.Policy.Entropy.sum": { "value": 78856.21875, "min": 9470.4521484375, "max": 111279.3828125, "count": 57 }, "SoccerTwos.Environment.EpisodeLength.mean": { "value": 606.5, "min": 427.0833333333333, "max": 999.0, "count": 57 }, "SoccerTwos.Environment.EpisodeLength.sum": { "value": 19408.0, "min": 16752.0, "max": 23028.0, "count": 57 }, "SoccerTwos.Self-play.ELO.mean": { "value": 1195.7265099333702, "min": 1185.9602509612184, "max": 1202.1300950333368, "count": 56 }, "SoccerTwos.Self-play.ELO.sum": { "value": 9565.812079466961, "min": 2383.9087978849752, "max": 23837.588585369856, "count": 56 }, "SoccerTwos.Step.mean": { "value": 569694.0, "min": 9748.0, "max": 569694.0, "count": 57 }, "SoccerTwos.Step.sum": { "value": 569694.0, "min": 9748.0, "max": 569694.0, "count": 57 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": { "value": -0.005025729537010193, "min": -0.02216891013085842, "max": 0.01984064094722271, "count": 57 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": { "value": -0.08041167259216309, "min": -0.37861818075180054, "max": 0.2948439121246338, "count": 57 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": { "value": -0.006355433724820614, "min": -0.029016312211751938, "max": 0.023159176111221313, "count": 57 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": { "value": -0.10168693959712982, "min": -0.464260995388031, "max": 0.346623033285141, "count": 57 }, "SoccerTwos.Environment.CumulativeReward.mean": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 57 }, "SoccerTwos.Environment.CumulativeReward.sum": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 57 }, "SoccerTwos.Policy.ExtrinsicReward.mean": { "value": -0.5, "min": -0.5343733350435893, "max": 0.3623555534415775, "count": 57 }, "SoccerTwos.Policy.ExtrinsicReward.sum": { "value": -8.0, "min": -10.302800059318542, "max": 6.522399961948395, "count": 57 }, "SoccerTwos.Environment.GroupCumulativeReward.mean": { "value": -0.5, "min": -0.5343733350435893, "max": 0.3623555534415775, "count": 57 }, "SoccerTwos.Environment.GroupCumulativeReward.sum": { "value": -8.0, "min": -10.302800059318542, "max": 6.522399961948395, "count": 57 }, "SoccerTwos.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 57 }, "SoccerTwos.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 57 }, "SoccerTwos.Losses.PolicyLoss.mean": { "value": 0.018109777154556164, "min": 0.010637058871604191, "max": 0.021666121548817804, "count": 26 }, "SoccerTwos.Losses.PolicyLoss.sum": { "value": 0.018109777154556164, "min": 0.010637058871604191, "max": 0.021666121548817804, "count": 26 }, "SoccerTwos.Losses.ValueLoss.mean": { "value": 0.005658320236640672, "min": 0.0015858658861058453, "max": 0.008449819559852282, "count": 26 }, "SoccerTwos.Losses.ValueLoss.sum": { "value": 0.005658320236640672, "min": 0.0015858658861058453, "max": 0.008449819559852282, "count": 26 }, "SoccerTwos.Losses.BaselineLoss.mean": { "value": 0.005775318403417866, "min": 0.001676513000469034, "max": 0.008451414930944642, "count": 26 }, "SoccerTwos.Losses.BaselineLoss.sum": { "value": 0.005775318403417866, "min": 0.001676513000469034, "max": 0.008451414930944642, "count": 26 }, "SoccerTwos.Policy.LearningRate.mean": { "value": 0.0003, "min": 0.0003, "max": 0.0003, "count": 26 }, "SoccerTwos.Policy.LearningRate.sum": { "value": 0.0003, "min": 0.0003, "max": 0.0003, "count": 26 }, "SoccerTwos.Policy.Epsilon.mean": { "value": 0.20000000000000007, "min": 0.20000000000000007, "max": 0.20000000000000007, "count": 26 }, "SoccerTwos.Policy.Epsilon.sum": { "value": 0.20000000000000007, "min": 0.20000000000000007, "max": 0.20000000000000007, "count": 26 }, "SoccerTwos.Policy.Beta.mean": { "value": 0.005000000000000001, "min": 0.005000000000000001, "max": 0.005000000000000001, "count": 26 }, "SoccerTwos.Policy.Beta.sum": { "value": 0.005000000000000001, "min": 0.005000000000000001, "max": 0.005000000000000001, "count": 26 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1684631275", "python_version": "3.9.16 (main, Mar 8 2023, 14:00:05) \n[GCC 11.2.0]", "command_line_arguments": "/home/weber/workspace/miniconda3/envs/rl/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos/SoccerTwos.x86_64 --run-id=SoccerTwos --no-graphics --force", "mlagents_version": "0.31.0.dev0", "mlagents_envs_version": "0.31.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "1.11.0", "numpy_version": "1.20.0", "end_time_seconds": "1684634126" }, "total": 2850.575393405001, "count": 1, "self": 0.036576389997208025, "children": { "run_training.setup": { "total": 0.008283941002446227, "count": 1, "self": 0.008283941002446227 }, "TrainerController.start_learning": { "total": 2850.530533074001, "count": 1, "self": 0.7225042235368164, "children": { "TrainerController._reset_env": { "total": 3.0621518840052886, "count": 3, "self": 3.0621518840052886 }, "TrainerController.advance": { "total": 2846.563758171462, "count": 37629, "self": 0.6556139760868973, "children": { "env_step": { "total": 2671.116220367454, "count": 37629, "self": 2344.7956479436834, "children": { "SubprocessEnvManager._take_step": { "total": 325.8067666995048, "count": 37629, "self": 3.8747202605518396, "children": { "TorchPolicy.evaluate": { "total": 321.93204643895297, "count": 74574, "self": 321.93204643895297 } } }, "workers": { "total": 0.5138057242656942, "count": 37628, "self": 0.0, "children": { "worker_root": { "total": 2848.4856919113154, "count": 37628, "is_parallel": true, "self": 588.9607890253392, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.00232988999778172, "count": 2, "is_parallel": true, "self": 0.00045909500477137044, "children": { "_process_rank_one_or_two_observation": { "total": 0.0018707949930103496, "count": 8, "is_parallel": true, "self": 0.0018707949930103496 } } }, "UnityEnvironment.step": { "total": 0.06547689999570139, "count": 1, "is_parallel": true, "self": 0.0001663470029598102, "children": { "UnityEnvironment._generate_step_input": { "total": 0.001254208997124806, "count": 1, "is_parallel": true, "self": 0.001254208997124806 }, "communicator.exchange": { "total": 0.06209984599991003, "count": 1, "is_parallel": true, "self": 0.06209984599991003 }, "steps_from_proto": { "total": 0.0019564979957067408, "count": 2, "is_parallel": true, "self": 0.00029262800671858713, "children": { "_process_rank_one_or_two_observation": { "total": 0.0016638699889881536, "count": 8, "is_parallel": true, "self": 0.0016638699889881536 } } } } } } }, "UnityEnvironment.step": { "total": 2259.5210944379796, "count": 37627, "is_parallel": true, "self": 6.1945704932149965, "children": { "UnityEnvironment._generate_step_input": { "total": 46.13824045883666, "count": 37627, "is_parallel": true, "self": 46.13824045883666 }, "communicator.exchange": { "total": 2135.651376593043, "count": 37627, "is_parallel": true, "self": 2135.651376593043 }, "steps_from_proto": { "total": 71.53690689288487, "count": 75254, "is_parallel": true, "self": 10.340430876618484, "children": { "_process_rank_one_or_two_observation": { "total": 61.19647601626639, "count": 301016, "is_parallel": true, "self": 61.19647601626639 } } } } }, "steps_from_proto": { "total": 0.003808447996561881, "count": 4, "is_parallel": true, "self": 0.0005641619936795905, "children": { "_process_rank_one_or_two_observation": { "total": 0.0032442860028822906, "count": 16, "is_parallel": true, "self": 0.0032442860028822906 } } } } } } } } }, "trainer_advance": { "total": 174.79192382792098, "count": 37628, "self": 5.510595201536489, "children": { "process_trajectory": { "total": 65.68246822340734, "count": 37628, "self": 65.4896982124119, "children": { "RLTrainer._checkpoint": { "total": 0.19277001099544577, "count": 1, "self": 0.19277001099544577 } } }, "_update_policy": { "total": 103.59886040297715, "count": 26, "self": 57.751025248115184, "children": { "TorchPOCAOptimizer.update": { "total": 45.84783515486197, "count": 780, "self": 45.84783515486197 } } } } } } }, "trainer_threads": { "total": 6.609989213757217e-07, "count": 1, "self": 6.609989213757217e-07 }, "TrainerController._save_models": { "total": 0.18211813399830135, "count": 1, "self": 0.0008386849949602038, "children": { "RLTrainer._checkpoint": { "total": 0.18127944900334114, "count": 1, "self": 0.18127944900334114 } } } } } } }