{ "name": "root", "gauges": { "SoccerTwos.Policy.Entropy.mean": { "value": 1.755637288093567, "min": 1.7151814699172974, "max": 3.295724630355835, "count": 499 }, "SoccerTwos.Policy.Entropy.sum": { "value": 36910.51953125, "min": 13612.6572265625, "max": 172905.75, "count": 499 }, "SoccerTwos.Environment.EpisodeLength.mean": { "value": 63.6125, "min": 39.645161290322584, "max": 999.0, "count": 499 }, "SoccerTwos.Environment.EpisodeLength.sum": { "value": 20356.0, "min": 10692.0, "max": 31500.0, "count": 499 }, "SoccerTwos.Self-play.ELO.mean": { "value": 1540.6404213531655, "min": 1197.4957713356807, "max": 1576.4143309371482, "count": 478 }, "SoccerTwos.Self-play.ELO.sum": { "value": 246502.4674165065, "min": 2399.421175774324, "max": 363079.2013600959, "count": 478 }, "SoccerTwos.Step.mean": { "value": 4999972.0, "min": 9254.0, "max": 4999972.0, "count": 500 }, "SoccerTwos.Step.sum": { "value": 4999972.0, "min": 9254.0, "max": 4999972.0, "count": 500 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": { "value": -0.034482039511203766, "min": -0.10746785998344421, "max": 0.16136549413204193, "count": 500 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": { "value": -5.517126083374023, "min": -22.675718307495117, "max": 27.432022094726562, "count": 500 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": { "value": -0.034504301846027374, "min": -0.11580751091241837, "max": 0.1590351015329361, "count": 500 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": { "value": -5.520688533782959, "min": -24.43538475036621, "max": 26.952106475830078, "count": 500 }, "SoccerTwos.Environment.CumulativeReward.mean": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 500 }, "SoccerTwos.Environment.CumulativeReward.sum": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 500 }, "SoccerTwos.Policy.ExtrinsicReward.mean": { "value": -0.08047500103712082, "min": -0.5921090895479376, "max": 0.4576799988746643, "count": 500 }, "SoccerTwos.Policy.ExtrinsicReward.sum": { "value": -12.876000165939331, "min": -66.35360014438629, "max": 60.00919944047928, "count": 500 }, "SoccerTwos.Environment.GroupCumulativeReward.mean": { "value": -0.08047500103712082, "min": -0.5921090895479376, "max": 0.4576799988746643, "count": 500 }, "SoccerTwos.Environment.GroupCumulativeReward.sum": { "value": -12.876000165939331, "min": -66.35360014438629, "max": 60.00919944047928, "count": 500 }, "SoccerTwos.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 500 }, "SoccerTwos.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 500 }, "SoccerTwos.Losses.PolicyLoss.mean": { "value": 0.015034021192695946, "min": 0.010941779592152064, "max": 0.024873137117053072, "count": 239 }, "SoccerTwos.Losses.PolicyLoss.sum": { "value": 0.015034021192695946, "min": 0.010941779592152064, "max": 0.024873137117053072, "count": 239 }, "SoccerTwos.Losses.ValueLoss.mean": { "value": 0.11739198019107183, "min": 3.1021232795562052e-06, "max": 0.1251884085436662, "count": 239 }, "SoccerTwos.Losses.ValueLoss.sum": { "value": 0.11739198019107183, "min": 3.1021232795562052e-06, "max": 0.1251884085436662, "count": 239 }, "SoccerTwos.Losses.BaselineLoss.mean": { "value": 0.11775108724832535, "min": 3.304618659664508e-06, "max": 0.1258082126577695, "count": 239 }, "SoccerTwos.Losses.BaselineLoss.sum": { "value": 0.11775108724832535, "min": 3.304618659664508e-06, "max": 0.1258082126577695, "count": 239 }, "SoccerTwos.Policy.LearningRate.mean": { "value": 1.0132997973599917e-06, "min": 1.0132997973599917e-06, "max": 0.0004968980006203998, "count": 239 }, "SoccerTwos.Policy.LearningRate.sum": { "value": 1.0132997973599917e-06, "min": 1.0132997973599917e-06, "max": 0.0004968980006203998, "count": 239 }, "SoccerTwos.Policy.Epsilon.mean": { "value": 0.10020264000000001, "min": 0.10020264000000001, "max": 0.19937960000000005, "count": 239 }, "SoccerTwos.Policy.Epsilon.sum": { "value": 0.10020264000000001, "min": 0.10020264000000001, "max": 0.19937960000000005, "count": 239 }, "SoccerTwos.Policy.Beta.mean": { "value": 2.0111735999999927e-05, "min": 2.0111735999999927e-05, "max": 0.004969042040000001, "count": 239 }, "SoccerTwos.Policy.Beta.sum": { "value": 2.0111735999999927e-05, "min": 2.0111735999999927e-05, "max": 0.004969042040000001, "count": 239 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1703848764", "python_version": "3.10.12 (main, Jul 5 2023, 15:02:25) [Clang 14.0.6 ]", "command_line_arguments": "/opt/homebrew/Caskroom/miniconda/base/envs/rl/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos.app --run-id=SoccerTwos --no-graphics --force", "mlagents_version": "1.1.0.dev0", "mlagents_envs_version": "1.1.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.1.2", "numpy_version": "1.23.5", "end_time_seconds": "1703853889" }, "total": 5124.430119083001, "count": 1, "self": 0.19001916600973345, "children": { "run_training.setup": { "total": 0.012270416977116838, "count": 1, "self": 0.012270416977116838 }, "TrainerController.start_learning": { "total": 5124.227829500014, "count": 1, "self": 2.531355981802335, "children": { "TrainerController._reset_env": { "total": 1.5887895020714495, "count": 20, "self": 1.5887895020714495 }, "TrainerController.advance": { "total": 5119.955040642148, "count": 341985, "self": 2.185286336200079, "children": { "env_step": { "total": 2303.891035468987, "count": 341985, "self": 1941.7491068352829, "children": { "SubprocessEnvManager._take_step": { "total": 360.6655651805049, "count": 341985, "self": 11.17105897743022, "children": { "TorchPolicy.evaluate": { "total": 349.4945062030747, "count": 631296, "self": 349.4945062030747 } } }, "workers": { "total": 1.4763634531991556, "count": 341985, "self": 0.0, "children": { "worker_root": { "total": 5119.23122701954, "count": 341985, "is_parallel": true, "self": 3492.6540978672565, "children": { "steps_from_proto": { "total": 0.013060167053481564, "count": 40, "is_parallel": true, "self": 0.0021915972174610943, "children": { "_process_rank_one_or_two_observation": { "total": 0.01086856983602047, "count": 160, "is_parallel": true, "self": 0.01086856983602047 } } }, "UnityEnvironment.step": { "total": 1626.5640689852298, "count": 341985, "is_parallel": true, "self": 78.99318619386759, "children": { "UnityEnvironment._generate_step_input": { "total": 37.23996753204847, "count": 341985, "is_parallel": true, "self": 37.23996753204847 }, "communicator.exchange": { "total": 1310.1512493426271, "count": 341985, "is_parallel": true, "self": 1310.1512493426271 }, "steps_from_proto": { "total": 200.17966591668664, "count": 683970, "is_parallel": true, "self": 30.950994182756403, "children": { "_process_rank_one_or_two_observation": { "total": 169.22867173393024, "count": 2735880, "is_parallel": true, "self": 169.22867173393024 } } } } } } } } } } }, "trainer_advance": { "total": 2813.8787188369606, "count": 341985, "self": 21.16630858287681, "children": { "process_trajectory": { "total": 556.1312195862702, "count": 341985, "self": 554.5936779602489, "children": { "RLTrainer._checkpoint": { "total": 1.537541626021266, "count": 10, "self": 1.537541626021266 } } }, "_update_policy": { "total": 2236.5811906678136, "count": 239, "self": 242.41541127837263, "children": { "TorchPOCAOptimizer.update": { "total": 1994.165779389441, "count": 7185, "self": 1994.165779389441 } } } } } } }, "trainer_threads": { "total": 3.3300602808594704e-07, "count": 1, "self": 3.3300602808594704e-07 }, "TrainerController._save_models": { "total": 0.15264304098673165, "count": 1, "self": 0.000656957970932126, "children": { "RLTrainer._checkpoint": { "total": 0.15198608301579952, "count": 1, "self": 0.15198608301579952 } } } } } } }