{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.4438077211380005, "min": 0.439700186252594, "max": 1.4210160970687866, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 13207.7177734375, "min": 13207.7177734375, "max": 43107.9453125, "count": 33 }, "Pyramids.Step.mean": { "value": 989927.0, "min": 29952.0, "max": 989927.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989927.0, "min": 29952.0, "max": 989927.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.5989148020744324, "min": -0.11901192367076874, "max": 0.6260363459587097, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 169.49288940429688, "min": -28.562862396240234, "max": 179.04638671875, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.007324466481804848, "min": -0.005360542330890894, "max": 0.4421723783016205, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 2.072824001312256, "min": -1.4902307987213135, "max": 104.79485321044922, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06749547647528484, "min": 0.063875554923435, "max": 0.07354423644004793, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9449366706539877, "min": 0.4860443941607869, "max": 1.0328867198955312, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.014507104554684788, "min": 0.0002813984611494987, "max": 0.014633990396490009, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.20309946376558702, "min": 0.003658179994943483, "max": 0.20899151272897143, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.410997529700002e-06, "min": 7.410997529700002e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010375396541580003, "min": 0.00010375396541580003, "max": 0.0035076407307864997, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.1024703, "min": 0.1024703, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4345842, "min": 1.3886848, "max": 2.5692135000000005, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.0002567829700000001, "min": 0.0002567829700000001, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0035949615800000014, "min": 0.0035949615800000014, "max": 0.11694442864999999, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.011240273714065552, "min": 0.011240273714065552, "max": 0.5911240577697754, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.15736383199691772, "min": 0.15736383199691772, "max": 4.137868404388428, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 311.53684210526313, "min": 304.44565217391306, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29596.0, "min": 15984.0, "max": 33192.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.6647318955114547, "min": -1.0000000521540642, "max": 1.6914730993329838, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 156.48479817807674, "min": -31.995201662182808, "max": 161.61699856817722, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.6647318955114547, "min": -1.0000000521540642, "max": 1.6914730993329838, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 156.48479817807674, "min": -31.995201662182808, "max": 161.61699856817722, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.036966517383568334, "min": 0.03646471410828908, "max": 12.153205594047904, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 3.4748526340554236, "min": 3.3912184120708844, "max": 194.45128950476646, "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": "1673619615", "python_version": "3.8.16 (default, Dec 7 2022, 01:12:13) \n[GCC 7.5.0]", "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": "0.29.0.dev0", "mlagents_envs_version": "0.29.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "1.8.1+cu102", "numpy_version": "1.21.6", "end_time_seconds": "1673621989" }, "total": 2373.475860319, "count": 1, "self": 0.48725479999939125, "children": { "run_training.setup": { "total": 0.12300736700035486, "count": 1, "self": 0.12300736700035486 }, "TrainerController.start_learning": { "total": 2372.865598152, "count": 1, "self": 1.7313842219164144, "children": { "TrainerController._reset_env": { "total": 6.66675314899976, "count": 1, "self": 6.66675314899976 }, "TrainerController.advance": { "total": 2364.3633372680843, "count": 63935, "self": 1.7358568120635027, "children": { "env_step": { "total": 1644.5635284909504, "count": 63935, "self": 1514.2617497739361, "children": { "SubprocessEnvManager._take_step": { "total": 129.19573965097106, "count": 63935, "self": 5.154243324033359, "children": { "TorchPolicy.evaluate": { "total": 124.0414963269377, "count": 62575, "self": 41.13424040887821, "children": { "TorchPolicy.sample_actions": { "total": 82.90725591805949, "count": 62575, "self": 82.90725591805949 } } } } }, "workers": { "total": 1.106039066043195, "count": 63935, "self": 0.0, "children": { "worker_root": { "total": 2367.4840228981275, "count": 63935, "is_parallel": true, "self": 977.4992471950964, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.00202177200026199, "count": 1, "is_parallel": true, "self": 0.0007793200002197409, "children": { "_process_rank_one_or_two_observation": { "total": 0.001242452000042249, "count": 8, "is_parallel": true, "self": 0.001242452000042249 } } }, "UnityEnvironment.step": { "total": 0.04887443000006897, "count": 1, "is_parallel": true, "self": 0.0005499819999386091, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005530829998861009, "count": 1, "is_parallel": true, "self": 0.0005530829998861009 }, "communicator.exchange": { "total": 0.04580277700006263, "count": 1, "is_parallel": true, "self": 0.04580277700006263 }, "steps_from_proto": { "total": 0.001968588000181626, "count": 1, "is_parallel": true, "self": 0.0004980620001333591, "children": { "_process_rank_one_or_two_observation": { "total": 0.0014705260000482667, "count": 8, "is_parallel": true, "self": 0.0014705260000482667 } } } } } } }, "UnityEnvironment.step": { "total": 1389.9847757030311, "count": 63934, "is_parallel": true, "self": 31.71018709498003, "children": { "UnityEnvironment._generate_step_input": { "total": 26.284027293957024, "count": 63934, "is_parallel": true, "self": 26.284027293957024 }, "communicator.exchange": { "total": 1212.3340886920287, "count": 63934, "is_parallel": true, "self": 1212.3340886920287 }, "steps_from_proto": { "total": 119.6564726220654, "count": 63934, "is_parallel": true, "self": 27.687992739111905, "children": { "_process_rank_one_or_two_observation": { "total": 91.96847988295349, "count": 511472, "is_parallel": true, "self": 91.96847988295349 } } } } } } } } } } }, "trainer_advance": { "total": 718.0639519650704, "count": 63935, "self": 3.222790625869493, "children": { "process_trajectory": { "total": 165.22215052620595, "count": 63935, "self": 164.9975151352064, "children": { "RLTrainer._checkpoint": { "total": 0.22463539099953778, "count": 2, "self": 0.22463539099953778 } } }, "_update_policy": { "total": 549.6190108129949, "count": 449, "self": 209.30618848697986, "children": { "TorchPPOOptimizer.update": { "total": 340.31282232601507, "count": 22821, "self": 340.31282232601507 } } } } } } }, "trainer_threads": { "total": 1.0049998309114017e-06, "count": 1, "self": 1.0049998309114017e-06 }, "TrainerController._save_models": { "total": 0.10412250799981848, "count": 1, "self": 0.0014301580004030257, "children": { "RLTrainer._checkpoint": { "total": 0.10269234999941546, "count": 1, "self": 0.10269234999941546 } } } } } } }