{ "name": "root", "gauges": { "SoccerTwos.Policy.Entropy.mean": { "value": 2.057386875152588, "min": 2.047987222671509, "max": 3.2957231998443604, "count": 350 }, "SoccerTwos.Policy.Entropy.sum": { "value": 38645.953125, "min": 1786.855712890625, "max": 105463.140625, "count": 350 }, "SoccerTwos.Environment.EpisodeLength.mean": { "value": 75.6, "min": 45.691588785046726, "max": 999.0, "count": 350 }, "SoccerTwos.Environment.EpisodeLength.sum": { "value": 19656.0, "min": 3996.0, "max": 29868.0, "count": 350 }, "SoccerTwos.Self-play.ELO.mean": { "value": 1571.1354581603364, "min": 1200.4942694081915, "max": 1589.1536115560243, "count": 349 }, "SoccerTwos.Self-play.ELO.sum": { "value": 204247.60956084373, "min": 2401.4985608882907, "max": 315393.24823603884, "count": 349 }, "SoccerTwos.Step.mean": { "value": 3499930.0, "min": 9034.0, "max": 3499930.0, "count": 350 }, "SoccerTwos.Step.sum": { "value": 3499930.0, "min": 9034.0, "max": 3499930.0, "count": 350 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": { "value": -0.058072905987501144, "min": -0.08106650412082672, "max": 0.2032850682735443, "count": 350 }, "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": { "value": -7.549477577209473, "min": -13.132773399353027, "max": 25.35916519165039, "count": 350 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": { "value": -0.05906663462519646, "min": -0.09454289078712463, "max": 0.20621255040168762, "count": 350 }, "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": { "value": -7.678662300109863, "min": -15.315948486328125, "max": 25.47676658630371, "count": 350 }, "SoccerTwos.Environment.CumulativeReward.mean": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 350 }, "SoccerTwos.Environment.CumulativeReward.sum": { "value": 0.0, "min": 0.0, "max": 0.0, "count": 350 }, "SoccerTwos.Policy.ExtrinsicReward.mean": { "value": -0.15642307767501243, "min": -0.483433964117518, "max": 0.4754314260823386, "count": 350 }, "SoccerTwos.Policy.ExtrinsicReward.sum": { "value": -20.335000097751617, "min": -57.46280014514923, "max": 58.32879984378815, "count": 350 }, "SoccerTwos.Environment.GroupCumulativeReward.mean": { "value": -0.15642307767501243, "min": -0.483433964117518, "max": 0.4754314260823386, "count": 350 }, "SoccerTwos.Environment.GroupCumulativeReward.sum": { "value": -20.335000097751617, "min": -57.46280014514923, "max": 58.32879984378815, "count": 350 }, "SoccerTwos.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 350 }, "SoccerTwos.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 350 }, "SoccerTwos.Losses.PolicyLoss.mean": { "value": 0.017345637931430246, "min": 0.011500285739991038, "max": 0.023056052706670015, "count": 168 }, "SoccerTwos.Losses.PolicyLoss.sum": { "value": 0.017345637931430246, "min": 0.011500285739991038, "max": 0.023056052706670015, "count": 168 }, "SoccerTwos.Losses.ValueLoss.mean": { "value": 0.09374586542447408, "min": 0.0014979356166718173, "max": 0.10577593992153804, "count": 168 }, "SoccerTwos.Losses.ValueLoss.sum": { "value": 0.09374586542447408, "min": 0.0014979356166718173, "max": 0.10577593992153804, "count": 168 }, "SoccerTwos.Losses.BaselineLoss.mean": { "value": 0.09456879571080208, "min": 0.001284183319685759, "max": 0.10749490931630135, "count": 168 }, "SoccerTwos.Losses.BaselineLoss.sum": { "value": 0.09456879571080208, "min": 0.001284183319685759, "max": 0.10749490931630135, "count": 168 }, "SoccerTwos.Policy.LearningRate.mean": { "value": 0.0003, "min": 0.0003, "max": 0.0003, "count": 168 }, "SoccerTwos.Policy.LearningRate.sum": { "value": 0.0003, "min": 0.0003, "max": 0.0003, "count": 168 }, "SoccerTwos.Policy.Epsilon.mean": { "value": 0.20000000000000007, "min": 0.19999999999999996, "max": 0.20000000000000007, "count": 168 }, "SoccerTwos.Policy.Epsilon.sum": { "value": 0.20000000000000007, "min": 0.19999999999999996, "max": 0.20000000000000007, "count": 168 }, "SoccerTwos.Policy.Beta.mean": { "value": 0.005000000000000001, "min": 0.005, "max": 0.005000000000000001, "count": 168 }, "SoccerTwos.Policy.Beta.sum": { "value": 0.005000000000000001, "min": 0.005, "max": 0.005000000000000001, "count": 168 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1689165746", "python_version": "3.9.17 (main, Jul 5 2023, 20:47:11) [MSC v.1916 64 bit (AMD64)]", "command_line_arguments": "C:\\Users\\winro\\anaconda3\\envs\\rl\\Scripts\\mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos.exe --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": "1.8.0+cpu", "numpy_version": "1.21.2", "end_time_seconds": "1689180652" }, "total": 14905.081364500002, "count": 1, "self": 0.9547617000007449, "children": { "run_training.setup": { "total": 0.16417020000000004, "count": 1, "self": 0.16417020000000004 }, "TrainerController.start_learning": { "total": 14903.962432600001, "count": 1, "self": 8.23313109989067, "children": { "TrainerController._reset_env": { "total": 3.4831855999967347, "count": 18, "self": 3.4831855999967347 }, "TrainerController.advance": { "total": 14892.027613300113, "count": 238013, "self": 8.806057099965983, "children": { "env_step": { "total": 6161.397973400028, "count": 238013, "self": 4999.779219000455, "children": { "SubprocessEnvManager._take_step": { "total": 1156.4932071999556, "count": 238013, "self": 49.4476339000189, "children": { "TorchPolicy.evaluate": { "total": 1107.0455732999367, "count": 440930, "self": 1107.0455732999367 } } }, "workers": { "total": 5.125547199616794, "count": 238013, "self": 0.0, "children": { "worker_root": { "total": 14888.307397000319, "count": 238013, "is_parallel": true, "self": 10833.173858600108, "children": { "steps_from_proto": { "total": 0.04477829999348826, "count": 36, "is_parallel": true, "self": 0.009572499993747652, "children": { "_process_rank_one_or_two_observation": { "total": 0.035205799999740606, "count": 144, "is_parallel": true, "self": 0.035205799999740606 } } }, "UnityEnvironment.step": { "total": 4055.0887601002164, "count": 238013, "is_parallel": true, "self": 209.12338990089256, "children": { "UnityEnvironment._generate_step_input": { "total": 164.92480479982152, "count": 238013, "is_parallel": true, "self": 164.92480479982152 }, "communicator.exchange": { "total": 3038.6139916999327, "count": 238013, "is_parallel": true, "self": 3038.6139916999327 }, "steps_from_proto": { "total": 642.4265736995692, "count": 476026, "is_parallel": true, "self": 137.1093524993388, "children": { "_process_rank_one_or_two_observation": { "total": 505.3172212002304, "count": 1904104, "is_parallel": true, "self": 505.3172212002304 } } } } } } } } } } }, "trainer_advance": { "total": 8721.82358280012, "count": 238013, "self": 54.33259610023924, "children": { "process_trajectory": { "total": 1894.9583867998858, "count": 238013, "self": 1893.2951836998864, "children": { "RLTrainer._checkpoint": { "total": 1.663203099999464, "count": 7, "self": 1.663203099999464 } } }, "_update_policy": { "total": 6772.532599899995, "count": 168, "self": 740.2799666999108, "children": { "TorchPOCAOptimizer.update": { "total": 6032.252633200084, "count": 5052, "self": 6032.252633200084 } } } } } } }, "trainer_threads": { "total": 1.5000005078036338e-06, "count": 1, "self": 1.5000005078036338e-06 }, "TrainerController._save_models": { "total": 0.21850110000013956, "count": 1, "self": 0.011879300000146031, "children": { "RLTrainer._checkpoint": { "total": 0.20662179999999353, "count": 1, "self": 0.20662179999999353 } } } } } } }