{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.8404826521873474, "min": 0.8404826521873474, "max": 1.4598430395126343, "count": 10 }, "Pyramids.Policy.Entropy.sum": { "value": 25106.8984375, "min": 25106.8984375, "max": 44285.796875, "count": 10 }, "Pyramids.Step.mean": { "value": 299952.0, "min": 29952.0, "max": 299952.0, "count": 10 }, "Pyramids.Step.sum": { "value": 299952.0, "min": 29952.0, "max": 299952.0, "count": 10 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": -0.03310125693678856, "min": -0.07654073089361191, "max": 0.1605910360813141, "count": 10 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": -8.010503768920898, "min": -18.44631576538086, "max": 38.06007385253906, "count": 10 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.019918009638786316, "min": 0.019918009638786316, "max": 0.28890857100486755, "count": 10 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 4.8201584815979, "min": 4.8201584815979, "max": 68.47132873535156, "count": 10 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06773245448382904, "min": 0.06645605675805881, "max": 0.07163800704222076, "count": 10 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9482543627736065, "min": 0.49019168771990046, "max": 0.9815040180547381, "count": 10 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.0028364419568095494, "min": 0.0004969434000239663, "max": 0.006827787384967173, "count": 10 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.03971018739533369, "min": 0.005963320800287596, "max": 0.06437933459762338, "count": 10 }, "Pyramids.Policy.LearningRate.mean": { "value": 1.5029594990166666e-05, "min": 1.5029594990166666e-05, "max": 0.0002838354339596191, "count": 10 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00021041432986233333, "min": 0.00021041432986233333, "max": 0.0023461314179563336, "count": 10 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10500983333333334, "min": 0.10500983333333334, "max": 0.19461180952380958, "count": 10 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4701376666666668, "min": 1.362282666666667, "max": 2.03139, "count": 10 }, "Pyramids.Policy.Beta.mean": { "value": 0.00051048235, "min": 0.00051048235, "max": 0.00946171977142857, "count": 10 }, "Pyramids.Policy.Beta.sum": { "value": 0.007146752900000001, "min": 0.007146752900000001, "max": 0.07824616229999999, "count": 10 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.02987137995660305, "min": 0.02987137995660305, "max": 0.363151490688324, "count": 10 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.4181993305683136, "min": 0.4181993305683136, "max": 2.542060375213623, "count": 10 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 953.8125, "min": 882.1034482758621, "max": 999.0, "count": 10 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30522.0, "min": 15984.0, "max": 32618.0, "count": 10 }, "Pyramids.Environment.CumulativeReward.mean": { "value": -0.5657613385588892, "min": -1.0000000521540642, "max": -0.26180694740394067, "count": 10 }, "Pyramids.Environment.CumulativeReward.sum": { "value": -17.538601495325565, "min": -30.65000168979168, "max": -7.592401474714279, "count": 10 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": -0.5657613385588892, "min": -1.0000000521540642, "max": -0.26180694740394067, "count": 10 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": -17.538601495325565, "min": -30.65000168979168, "max": -7.592401474714279, "count": 10 }, "Pyramids.Policy.RndReward.mean": { "value": 0.30023005015156684, "min": 0.30023005015156684, "max": 7.17590135615319, "count": 10 }, "Pyramids.Policy.RndReward.sum": { "value": 9.307131554698572, "min": 8.91508346516639, "max": 114.81442169845104, "count": 10 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 10 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 10 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1676561680", "python_version": "3.8.10 (default, Nov 14 2022, 12:59:47) \n[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": "0.29.0.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": "1676562704" }, "total": 1024.5575820230001, "count": 1, "self": 0.6995505899999443, "children": { "run_training.setup": { "total": 0.1480947869999909, "count": 1, "self": 0.1480947869999909 }, "TrainerController.start_learning": { "total": 1023.7099366460002, "count": 1, "self": 0.7865703300121822, "children": { "TrainerController._reset_env": { "total": 5.383240442999977, "count": 1, "self": 5.383240442999977 }, "TrainerController.advance": { "total": 1017.4169878609878, "count": 18897, "self": 0.8082753710023098, "children": { "env_step": { "total": 619.0710352310152, "count": 18897, "self": 571.8386058710821, "children": { "SubprocessEnvManager._take_step": { "total": 46.70313683396262, "count": 18897, "self": 2.2971994609656576, "children": { "TorchPolicy.evaluate": { "total": 44.40593737299696, "count": 18794, "self": 9.849545270017188, "children": { "TorchPolicy.sample_actions": { "total": 34.55639210297977, "count": 18794, "self": 34.55639210297977 } } } } }, "workers": { "total": 0.5292925259705044, "count": 18897, "self": 0.0, "children": { "worker_root": { "total": 1021.5677363160107, "count": 18897, "is_parallel": true, "self": 507.5499073669962, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.003455330999713624, "count": 1, "is_parallel": true, "self": 0.0015149869996093912, "children": { "_process_rank_one_or_two_observation": { "total": 0.0019403440001042327, "count": 8, "is_parallel": true, "self": 0.0019403440001042327 } } }, "UnityEnvironment.step": { "total": 0.07122465100019326, "count": 1, "is_parallel": true, "self": 0.0006838459999016777, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005478600000969891, "count": 1, "is_parallel": true, "self": 0.0005478600000969891 }, "communicator.exchange": { "total": 0.06766062799988504, "count": 1, "is_parallel": true, "self": 0.06766062799988504 }, "steps_from_proto": { "total": 0.0023323170003095584, "count": 1, "is_parallel": true, "self": 0.0006167400001686474, "children": { "_process_rank_one_or_two_observation": { "total": 0.001715577000140911, "count": 8, "is_parallel": true, "self": 0.001715577000140911 } } } } } } }, "UnityEnvironment.step": { "total": 514.0178289490145, "count": 18896, "is_parallel": true, "self": 14.077046086012615, "children": { "UnityEnvironment._generate_step_input": { "total": 8.6963265929935, "count": 18896, "is_parallel": true, "self": 8.6963265929935 }, "communicator.exchange": { "total": 449.5596541469986, "count": 18896, "is_parallel": true, "self": 449.5596541469986 }, "steps_from_proto": { "total": 41.68480212300983, "count": 18896, "is_parallel": true, "self": 10.560656833954454, "children": { "_process_rank_one_or_two_observation": { "total": 31.124145289055377, "count": 151168, "is_parallel": true, "self": 31.124145289055377 } } } } } } } } } } }, "trainer_advance": { "total": 397.53767725897023, "count": 18897, "self": 1.3109092859881457, "children": { "process_trajectory": { "total": 74.87929048998103, "count": 18897, "self": 74.87929048998103 }, "_update_policy": { "total": 321.34747748300106, "count": 118, "self": 87.390586292021, "children": { "TorchPPOOptimizer.update": { "total": 233.95689119098006, "count": 6882, "self": 233.95689119098006 } } } } } } }, "trainer_threads": { "total": 1.261999841517536e-06, "count": 1, "self": 1.261999841517536e-06 }, "TrainerController._save_models": { "total": 0.12313675000041258, "count": 1, "self": 0.002378926000346837, "children": { "RLTrainer._checkpoint": { "total": 0.12075782400006574, "count": 1, "self": 0.12075782400006574 } } } } } } }