{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.3950866460800171, "min": 0.39358752965927124, "max": 1.524118423461914, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 11947.419921875, "min": 11631.298828125, "max": 46235.65625, "count": 33 }, "Pyramids.Step.mean": { "value": 989950.0, "min": 29952.0, "max": 989950.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989950.0, "min": 29952.0, "max": 989950.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.5323733687400818, "min": -0.1285138875246048, "max": 0.5324333906173706, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 149.59690856933594, "min": -30.45779037475586, "max": 149.59690856933594, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": -0.022907644510269165, "min": -0.022907644510269165, "max": 0.34239712357521057, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": -6.437047958374023, "min": -6.437047958374023, "max": 81.14811706542969, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06999578922794589, "min": 0.0649318358551855, "max": 0.0730513108329843, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9799410491912425, "min": 0.4920466859402114, "max": 1.077874961427833, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.014691411485318004, "min": 0.0006416591306066847, "max": 0.014781234102667353, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.20567976079445205, "min": 0.0064165913060668465, "max": 0.20693727743734294, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.687404580421424e-06, "min": 7.687404580421424e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010762366412589993, "min": 0.00010762366412589993, "max": 0.003509054330315301, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.1025624357142857, "min": 0.1025624357142857, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4358740999999997, "min": 1.3886848, "max": 2.5696847, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.0002659873278571427, "min": 0.0002659873278571427, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0037238225899999984, "min": 0.0037238225899999984, "max": 0.11699150153000001, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.011936063878238201, "min": 0.011936063878238201, "max": 0.3608056902885437, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.16710489988327026, "min": 0.16710489988327026, "max": 2.525639772415161, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 345.7586206896552, "min": 345.7586206896552, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30081.0, "min": 15984.0, "max": 33037.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.6013545244932175, "min": -1.0000000521540642, "max": 1.6013545244932175, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 140.91919815540314, "min": -30.316001623868942, "max": 140.91919815540314, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.6013545244932175, "min": -1.0000000521540642, "max": 1.6013545244932175, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 140.91919815540314, "min": -30.316001623868942, "max": 140.91919815540314, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.04373795944758802, "min": 0.04373795944758802, "max": 7.66122658457607, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 3.8489404313877458, "min": 3.664707865988021, "max": 122.57962535321712, "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": "1699317136", "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]", "command_line_arguments": "/home/joshua/.unit5env/bin/mlagents-learn ./ml-agents/config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics", "mlagents_version": "1.1.0.dev0", "mlagents_envs_version": "1.1.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.1.0+cu121", "numpy_version": "1.23.5", "end_time_seconds": "1699318072" }, "total": 936.2414754469937, "count": 1, "self": 0.2188617599895224, "children": { "run_training.setup": { "total": 0.024026172002777457, "count": 1, "self": 0.024026172002777457 }, "TrainerController.start_learning": { "total": 935.9985875150014, "count": 1, "self": 0.9277100825420348, "children": { "TrainerController._reset_env": { "total": 0.8563371839991305, "count": 1, "self": 0.8563371839991305 }, "TrainerController.advance": { "total": 934.1649900384655, "count": 63789, "self": 0.9036711433873279, "children": { "env_step": { "total": 566.6767629271344, "count": 63789, "self": 480.7142410739616, "children": { "SubprocessEnvManager._take_step": { "total": 85.37871667974105, "count": 63789, "self": 2.5857024942233693, "children": { "TorchPolicy.evaluate": { "total": 82.79301418551768, "count": 62570, "self": 82.79301418551768 } } }, "workers": { "total": 0.583805173431756, "count": 63789, "self": 0.0, "children": { "worker_root": { "total": 934.8296124787885, "count": 63789, "is_parallel": true, "self": 513.76958110962, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0009138259920291603, "count": 1, "is_parallel": true, "self": 0.0002673079870874062, "children": { "_process_rank_one_or_two_observation": { "total": 0.000646518004941754, "count": 8, "is_parallel": true, "self": 0.000646518004941754 } } }, "UnityEnvironment.step": { "total": 0.019890288007445633, "count": 1, "is_parallel": true, "self": 0.00020827901607844979, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00018747099966276437, "count": 1, "is_parallel": true, "self": 0.00018747099966276437 }, "communicator.exchange": { "total": 0.0188237569964258, "count": 1, "is_parallel": true, "self": 0.0188237569964258 }, "steps_from_proto": { "total": 0.0006707809952786192, "count": 1, "is_parallel": true, "self": 0.000166817000717856, "children": { "_process_rank_one_or_two_observation": { "total": 0.0005039639945607632, "count": 8, "is_parallel": true, "self": 0.0005039639945607632 } } } } } } }, "UnityEnvironment.step": { "total": 421.0600313691684, "count": 63788, "is_parallel": true, "self": 12.722350242445827, "children": { "UnityEnvironment._generate_step_input": { "total": 9.756323895970127, "count": 63788, "is_parallel": true, "self": 9.756323895970127 }, "communicator.exchange": { "total": 359.6099881291011, "count": 63788, "is_parallel": true, "self": 359.6099881291011 }, "steps_from_proto": { "total": 38.97136910165136, "count": 63788, "is_parallel": true, "self": 9.196664849616354, "children": { "_process_rank_one_or_two_observation": { "total": 29.774704252035008, "count": 510304, "is_parallel": true, "self": 29.774704252035008 } } } } } } } } } } }, "trainer_advance": { "total": 366.58455596794374, "count": 63789, "self": 1.576518306901562, "children": { "process_trajectory": { "total": 70.12976506890845, "count": 63789, "self": 70.0251674039173, "children": { "RLTrainer._checkpoint": { "total": 0.10459766499116085, "count": 2, "self": 0.10459766499116085 } } }, "_update_policy": { "total": 294.8782725921337, "count": 447, "self": 167.20554342020478, "children": { "TorchPPOOptimizer.update": { "total": 127.67272917192895, "count": 22821, "self": 127.67272917192895 } } } } } } }, "trainer_threads": { "total": 6.67001586407423e-07, "count": 1, "self": 6.67001586407423e-07 }, "TrainerController._save_models": { "total": 0.0495495429931907, "count": 1, "self": 0.0007666759920539334, "children": { "RLTrainer._checkpoint": { "total": 0.048782867001136765, "count": 1, "self": 0.048782867001136765 } } } } } } }