{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.3344193994998932, "min": 0.3344193994998932, "max": 1.517533302307129, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 10048.6337890625, "min": 10048.6337890625, "max": 46035.890625, "count": 33 }, "Pyramids.Step.mean": { "value": 989872.0, "min": 29952.0, "max": 989872.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989872.0, "min": 29952.0, "max": 989872.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.6347144842147827, "min": -0.0849069356918335, "max": 0.6347144842147827, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 178.35476684570312, "min": -20.37766456604004, "max": 178.35476684570312, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.020774219185113907, "min": -0.007057444658130407, "max": 0.24249260127544403, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 5.837555408477783, "min": -1.8772802352905273, "max": 57.47074508666992, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06785614708843198, "min": 0.06337333972693333, "max": 0.07385488390459434, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9499860592380477, "min": 0.4954985445007366, "max": 1.0741643584721412, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.01650496122047549, "min": 0.0004448396531721008, "max": 0.017585524037040615, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.23106945708665688, "min": 0.005782915491237311, "max": 0.2563167963628931, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.3084189924642855e-06, "min": 7.3084189924642855e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.0001023178658945, "min": 0.0001023178658945, "max": 0.0035080181306607, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10243610714285716, "min": 0.10243610714285716, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4341055000000003, "min": 1.3886848, "max": 2.5723189, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.00025336710357142856, "min": 0.00025336710357142856, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.00354713945, "min": 0.00354713945, "max": 0.11695699607000001, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.008987419307231903, "min": 0.008987419307231903, "max": 0.294095516204834, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.12582387030124664, "min": 0.12582387030124664, "max": 2.058668613433838, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 300.2178217821782, "min": 287.03921568627453, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30322.0, "min": 15984.0, "max": 34024.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.6799762247517558, "min": -1.0000000521540642, "max": 1.7145922121781747, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 169.67759869992733, "min": -30.719801746308804, "max": 176.602997854352, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.6799762247517558, "min": -1.0000000521540642, "max": 1.7145922121781747, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 169.67759869992733, "min": -30.719801746308804, "max": 176.602997854352, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.028417634506425173, "min": 0.028417634506425173, "max": 5.656275127083063, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.8701810851489427, "min": 2.8701810851489427, "max": 90.50040203332901, "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": "1688642018", "python_version": "3.10.12 (main, Jun 7 2023, 12:45:35) [GCC 9.4.0]", "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": "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": "1688644283" }, "total": 2265.1802201969995, "count": 1, "self": 0.9422533189995193, "children": { "run_training.setup": { "total": 0.03763628900014737, "count": 1, "self": 0.03763628900014737 }, "TrainerController.start_learning": { "total": 2264.200330589, "count": 1, "self": 1.35766573100409, "children": { "TrainerController._reset_env": { "total": 3.9973224850000406, "count": 1, "self": 3.9973224850000406 }, "TrainerController.advance": { "total": 2258.686421476996, "count": 63978, "self": 1.453276202966208, "children": { "env_step": { "total": 1611.7017747049913, "count": 63978, "self": 1498.7901243000988, "children": { "SubprocessEnvManager._take_step": { "total": 112.07034376099728, "count": 63978, "self": 5.031807626063255, "children": { "TorchPolicy.evaluate": { "total": 107.03853613493402, "count": 62544, "self": 107.03853613493402 } } }, "workers": { "total": 0.8413066438952228, "count": 63978, "self": 0.0, "children": { "worker_root": { "total": 2258.60234315599, "count": 63978, "is_parallel": true, "self": 877.139667264003, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.002084183000079065, "count": 1, "is_parallel": true, "self": 0.0006776269997317286, "children": { "_process_rank_one_or_two_observation": { "total": 0.0014065560003473365, "count": 8, "is_parallel": true, "self": 0.0014065560003473365 } } }, "UnityEnvironment.step": { "total": 0.048837580000054004, "count": 1, "is_parallel": true, "self": 0.0005827569998473336, "children": { "UnityEnvironment._generate_step_input": { "total": 0.000525672000094346, "count": 1, "is_parallel": true, "self": 0.000525672000094346 }, "communicator.exchange": { "total": 0.045854604999931325, "count": 1, "is_parallel": true, "self": 0.045854604999931325 }, "steps_from_proto": { "total": 0.0018745460001809988, "count": 1, "is_parallel": true, "self": 0.00038269600099738454, "children": { "_process_rank_one_or_two_observation": { "total": 0.0014918499991836143, "count": 8, "is_parallel": true, "self": 0.0014918499991836143 } } } } } } }, "UnityEnvironment.step": { "total": 1381.4626758919871, "count": 63977, "is_parallel": true, "self": 34.29162239916241, "children": { "UnityEnvironment._generate_step_input": { "total": 24.288059344953126, "count": 63977, "is_parallel": true, "self": 24.288059344953126 }, "communicator.exchange": { "total": 1213.2067219489663, "count": 63977, "is_parallel": true, "self": 1213.2067219489663 }, "steps_from_proto": { "total": 109.67627219890528, "count": 63977, "is_parallel": true, "self": 21.373489119985607, "children": { "_process_rank_one_or_two_observation": { "total": 88.30278307891967, "count": 511816, "is_parallel": true, "self": 88.30278307891967 } } } } } } } } } } }, "trainer_advance": { "total": 645.5313705690387, "count": 63978, "self": 2.579686524120916, "children": { "process_trajectory": { "total": 114.9027509279199, "count": 63978, "self": 114.58225599091975, "children": { "RLTrainer._checkpoint": { "total": 0.32049493700014864, "count": 2, "self": 0.32049493700014864 } } }, "_update_policy": { "total": 528.0489331169979, "count": 451, "self": 341.8673955229615, "children": { "TorchPPOOptimizer.update": { "total": 186.1815375940364, "count": 22803, "self": 186.1815375940364 } } } } } } }, "trainer_threads": { "total": 1.3359995136852376e-06, "count": 1, "self": 1.3359995136852376e-06 }, "TrainerController._save_models": { "total": 0.15891955999995844, "count": 1, "self": 0.0020138910003879573, "children": { "RLTrainer._checkpoint": { "total": 0.15690566899957048, "count": 1, "self": 0.15690566899957048 } } } } } } }