{ "name": "root", "gauges": { "SoccerTwos.Policy.Entropy.mean": { "value": 2.276503562927246, "min": 2.1417062282562256, "max": 3.2957191467285156, "count": 399 }, "SoccerTwos.Policy.Entropy.sum": { "value": 45967.16015625, "min": 13698.830078125, "max": 128678.0625, "count": 399 }, "SoccerTwos.Environment.EpisodeLength.mean": { "value": 999.0, "min": 402.5, "max": 999.0, "count": 399 }, "SoccerTwos.Environment.EpisodeLength.sum": { "value": 15984.0, "min": 9244.0, "max": 31968.0, "count": 399 }, "SoccerTwos.Self-play.ELO.mean": { "value": 1199.1303561944992, "min": 1191.2162031668613, "max": 1207.3349741650818, "count": 197 }, "SoccerTwos.Self-play.ELO.sum": { "value": 2398.2607123889984, "min": 2382.4324063337226, "max": 14424.59592815846, "count": 197 }, "SoccerTwos.Step.mean": { "value": 3999648.0, "min": 9644.0, "max": 3999648.0, "count": 400 }, "SoccerTwos.Step.sum": { "value": 3999648.0, "min": 9644.0, "max": 3999648.0, "count": 400 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": { "value": 5.502007297764067e-06, "min": -0.03567070513963699, "max": 0.04465016722679138, "count": 400 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": { "value": 5.502007115865126e-05, "min": -0.35670706629753113, "max": 0.5783225893974304, "count": 400 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": { "value": 2.8965216642973246e-06, "min": -0.03818034008145332, "max": 0.04464811831712723, "count": 400 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": { "value": 2.8965216188225895e-05, "min": -0.38180339336395264, "max": 0.6222702860832214, "count": 400 }, "SoccerTwos.Environment.CumulativeReward.mean": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 400 }, "SoccerTwos.Environment.CumulativeReward.sum": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 400 }, "SoccerTwos.Policy.ExtrinsicReward.mean": { "value": 0.0, "min": -0.6153846153846154, "max": 0.28374286208833965, "count": 400 }, "SoccerTwos.Policy.ExtrinsicReward.sum": { "value": 0.0, "min": -10.0, "max": 3.9724000692367554, "count": 400 }, "SoccerTwos.Environment.GroupCumulativeReward.mean": { "value": 0.0, "min": -0.6153846153846154, "max": 0.28374286208833965, "count": 400 }, "SoccerTwos.Environment.GroupCumulativeReward.sum": { "value": 0.0, "min": -10.0, "max": 3.9724000692367554, "count": 400 }, "SoccerTwos.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 400 }, "SoccerTwos.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 400 }, "SoccerTwos.Losses.PolicyLoss.mean": { "value": 0.017630982491413528, "min": 0.009047151334622564, "max": 0.024916874268092214, "count": 183 }, "SoccerTwos.Losses.PolicyLoss.sum": { "value": 0.017630982491413528, "min": 0.009047151334622564, "max": 0.024916874268092214, "count": 183 }, "SoccerTwos.Losses.ValueLoss.mean": { "value": 2.712128521764612e-09, "min": 2.447988592979903e-09, "max": 0.005510915707175931, "count": 183 }, "SoccerTwos.Losses.ValueLoss.sum": { "value": 2.712128521764612e-09, "min": 2.447988592979903e-09, "max": 0.005510915707175931, "count": 183 }, "SoccerTwos.Losses.BaselineLoss.mean": { "value": 3.330661914619117e-09, "min": 3.0755037257653347e-09, "max": 0.005536593900372585, "count": 183 }, "SoccerTwos.Losses.BaselineLoss.sum": { "value": 3.330661914619117e-09, "min": 3.0755037257653347e-09, "max": 0.005536593900372585, "count": 183 }, "SoccerTwos.Policy.LearningRate.mean": { "value": 0.0003, "min": 0.0003, "max": 0.0003, "count": 183 }, "SoccerTwos.Policy.LearningRate.sum": { "value": 0.0003, "min": 0.0003, "max": 0.0003, "count": 183 }, "SoccerTwos.Policy.Epsilon.mean": { "value": 0.2, "min": 0.19999999999999993, "max": 0.20000000000000007, "count": 183 }, "SoccerTwos.Policy.Epsilon.sum": { "value": 0.2, "min": 0.19999999999999993, "max": 0.20000000000000007, "count": 183 }, "SoccerTwos.Policy.Beta.mean": { "value": 0.005, "min": 0.005, "max": 0.005000000000000001, "count": 183 }, "SoccerTwos.Policy.Beta.sum": { "value": 0.005, "min": 0.005, "max": 0.005000000000000001, "count": 183 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1680445267", "python_version": "3.9.16 | packaged by conda-forge | (main, Feb 1 2023, 21:39:03) \n[GCC 11.3.0]", "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos/SoccerTwos.x86_64 --run-id=SoccerTwos --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": "1680454101" }, "total": 8833.984308541, "count": 1, "self": 0.3908838190000097, "children": { "run_training.setup": { "total": 0.05844192099993961, "count": 1, "self": 0.05844192099993961 }, "TrainerController.start_learning": { "total": 8833.534982801, "count": 1, "self": 6.099692173962467, "children": { "TrainerController._reset_env": { "total": 6.614124723998884, "count": 20, "self": 6.614124723998884 }, "TrainerController.advance": { "total": 8820.532627167038, "count": 260232, "self": 6.603094961699753, "children": { "env_step": { "total": 7084.220116301302, "count": 260232, "self": 5584.405322905188, "children": { "SubprocessEnvManager._take_step": { "total": 1496.067234820156, "count": 260232, "self": 46.51186125227832, "children": { "TorchPolicy.evaluate": { "total": 1449.5553735678777, "count": 517092, "self": 1449.5553735678777 } } }, "workers": { "total": 3.7475585759584646, "count": 260232, "self": 0.0, "children": { "worker_root": { "total": 8817.127241644135, "count": 260232, "is_parallel": true, "self": 4100.775366770407, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0030647570001747226, "count": 2, "is_parallel": true, "self": 0.0008452600004602573, "children": { "_process_rank_one_or_two_observation": { "total": 0.0022194969997144653, "count": 8, "is_parallel": true, "self": 0.0022194969997144653 } } }, "UnityEnvironment.step": { "total": 0.09502127299992935, "count": 1, "is_parallel": true, "self": 0.004092491999927006, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0008304509997287823, "count": 1, "is_parallel": true, "self": 0.0008304509997287823 }, "communicator.exchange": { "total": 0.08405107700036751, "count": 1, "is_parallel": true, "self": 0.08405107700036751 }, "steps_from_proto": { "total": 0.00604725299990605, "count": 2, "is_parallel": true, "self": 0.0006574059998456505, "children": { "_process_rank_one_or_two_observation": { "total": 0.005389847000060399, "count": 8, "is_parallel": true, "self": 0.005389847000060399 } } } } } } }, "UnityEnvironment.step": { "total": 4716.29669242073, "count": 260231, "is_parallel": true, "self": 265.2557739472322, "children": { "UnityEnvironment._generate_step_input": { "total": 190.6479394109756, "count": 260231, "is_parallel": true, "self": 190.6479394109756 }, "communicator.exchange": { "total": 3439.5704351165223, "count": 260231, "is_parallel": true, "self": 3439.5704351165223 }, "steps_from_proto": { "total": 820.8225439460007, "count": 520462, "is_parallel": true, "self": 154.8416845633492, "children": { "_process_rank_one_or_two_observation": { "total": 665.9808593826515, "count": 2081848, "is_parallel": true, "self": 665.9808593826515 } } } } }, "steps_from_proto": { "total": 0.055182452997996734, "count": 38, "is_parallel": true, "self": 0.013451745998281694, "children": { "_process_rank_one_or_two_observation": { "total": 0.04173070699971504, "count": 152, "is_parallel": true, "self": 0.04173070699971504 } } } } } } } } }, "trainer_advance": { "total": 1729.7094159040357, "count": 260232, "self": 55.292295641559576, "children": { "process_trajectory": { "total": 431.6419521064663, "count": 260232, "self": 429.36609235846663, "children": { "RLTrainer._checkpoint": { "total": 2.275859747999675, "count": 8, "self": 2.275859747999675 } } }, "_update_policy": { "total": 1242.7751681560098, "count": 183, "self": 800.8142046409844, "children": { "TorchPOCAOptimizer.update": { "total": 441.96096351502547, "count": 5550, "self": 441.96096351502547 } } } } } } }, "trainer_threads": { "total": 8.699989848537371e-07, "count": 1, "self": 8.699989848537371e-07 }, "TrainerController._save_models": { "total": 0.28853786600120657, "count": 1, "self": 0.00185393000174372, "children": { "RLTrainer._checkpoint": { "total": 0.28668393599946285, "count": 1, "self": 0.28668393599946285 } } } } } } }