{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.6916899681091309, "min": 0.6896134614944458, "max": 1.404939889907837, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 20651.095703125, "min": 20645.70703125, "max": 42620.2578125, "count": 33 }, "Pyramids.Step.mean": { "value": 989969.0, "min": 29952.0, "max": 989969.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989969.0, "min": 29952.0, "max": 989969.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.31611189246177673, "min": -0.10733319073915482, "max": 0.37801045179367065, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 82.50520324707031, "min": -25.867298126220703, "max": 99.416748046875, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.3483024835586548, "min": -0.09128698706626892, "max": 0.3483024835586548, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 90.90695190429688, "min": -23.825902938842773, "max": 90.90695190429688, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06843751064679097, "min": 0.06354434896734082, "max": 0.07154199718080013, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9581251490550737, "min": 0.496360123701609, "max": 1.0469425394024026, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.035062337706525185, "min": 0.00012994433957645536, "max": 0.035062337706525185, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.4908727278913526, "min": 0.001429387735341009, "max": 0.4908727278913526, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.504404641421429e-06, "min": 7.504404641421429e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.0001050616649799, "min": 0.0001050616649799, "max": 0.0035068715310428993, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10250143571428572, "min": 0.10250143571428572, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4350201, "min": 1.3691136000000002, "max": 2.5689571, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.00025989342785714286, "min": 0.00025989342785714286, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0036385079900000004, "min": 0.0036385079900000004, "max": 0.11691881428999998, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.006524231750518084, "min": 0.006524231750518084, "max": 0.37675079703330994, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.09133924543857574, "min": 0.09133924543857574, "max": 2.6372556686401367, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 538.5, "min": 441.1764705882353, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 31233.0, "min": 15984.0, "max": 33166.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.1855620459235947, "min": -1.0000000521540642, "max": 1.4411293864250183, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 68.7625986635685, "min": -32.000001668930054, "max": 97.99679827690125, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.1855620459235947, "min": -1.0000000521540642, "max": 1.4411293864250183, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 68.7625986635685, "min": -32.000001668930054, "max": 97.99679827690125, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.036870385544246126, "min": 0.034126756638322736, "max": 7.385277417488396, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.1384823615662754, "min": 2.1384823615662754, "max": 118.16443867981434, "count": 33 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 33 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 33 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1779569996", "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", "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": "1.2.0.dev0", "mlagents_envs_version": "1.2.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.8.0+cu128", "numpy_version": "1.23.5", "end_time_seconds": "1779572312" }, "total": 2315.68318777, "count": 1, "self": 0.47869547400023293, "children": { "run_training.setup": { "total": 0.025474621999819647, "count": 1, "self": 0.025474621999819647 }, "TrainerController.start_learning": { "total": 2315.179017674, "count": 1, "self": 1.3191176609834656, "children": { "TrainerController._reset_env": { "total": 2.1344262929997058, "count": 1, "self": 2.1344262929997058 }, "TrainerController.advance": { "total": 2311.6334760770173, "count": 63389, "self": 1.36978233699665, "children": { "env_step": { "total": 1651.4449260729607, "count": 63389, "self": 1498.9938342809642, "children": { "SubprocessEnvManager._take_step": { "total": 151.6651077259512, "count": 63389, "self": 4.689672805921418, "children": { "TorchPolicy.evaluate": { "total": 146.97543492002978, "count": 62555, "self": 146.97543492002978 } } }, "workers": { "total": 0.7859840660453301, "count": 63389, "self": 0.0, "children": { "worker_root": { "total": 2309.1481035489646, "count": 63389, "is_parallel": true, "self": 927.4330123310774, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0018030420001196035, "count": 1, "is_parallel": true, "self": 0.0006154849997983547, "children": { "_process_rank_one_or_two_observation": { "total": 0.0011875570003212488, "count": 8, "is_parallel": true, "self": 0.0011875570003212488 } } }, "UnityEnvironment.step": { "total": 0.04957516000013129, "count": 1, "is_parallel": true, "self": 0.0005180429993743019, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00047247200018318836, "count": 1, "is_parallel": true, "self": 0.00047247200018318836 }, "communicator.exchange": { "total": 0.04695112700028403, "count": 1, "is_parallel": true, "self": 0.04695112700028403 }, "steps_from_proto": { "total": 0.0016335180002897687, "count": 1, "is_parallel": true, "self": 0.0003383029998076381, "children": { "_process_rank_one_or_two_observation": { "total": 0.0012952150004821306, "count": 8, "is_parallel": true, "self": 0.0012952150004821306 } } } } } } }, "UnityEnvironment.step": { "total": 1381.7150912178872, "count": 63388, "is_parallel": true, "self": 33.977917631835226, "children": { "UnityEnvironment._generate_step_input": { "total": 23.496554147999632, "count": 63388, "is_parallel": true, "self": 23.496554147999632 }, "communicator.exchange": { "total": 1213.901346200062, "count": 63388, "is_parallel": true, "self": 1213.901346200062 }, "steps_from_proto": { "total": 110.33927323799026, "count": 63388, "is_parallel": true, "self": 23.034061066912273, "children": { "_process_rank_one_or_two_observation": { "total": 87.30521217107798, "count": 507104, "is_parallel": true, "self": 87.30521217107798 } } } } } } } } } } }, "trainer_advance": { "total": 658.81876766706, "count": 63389, "self": 2.5081541831946197, "children": { "process_trajectory": { "total": 125.63649684586653, "count": 63389, "self": 125.44765676086581, "children": { "RLTrainer._checkpoint": { "total": 0.18884008500072014, "count": 2, "self": 0.18884008500072014 } } }, "_update_policy": { "total": 530.6741166379988, "count": 446, "self": 293.93877528097664, "children": { "TorchPPOOptimizer.update": { "total": 236.7353413570222, "count": 22842, "self": 236.7353413570222 } } } } } } }, "trainer_threads": { "total": 8.869992598192766e-07, "count": 1, "self": 8.869992598192766e-07 }, "TrainerController._save_models": { "total": 0.09199675600029877, "count": 1, "self": 0.00116375000015978, "children": { "RLTrainer._checkpoint": { "total": 0.090833006000139, "count": 1, "self": 0.090833006000139 } } } } } } }