robpitkin's picture
Initial commit
b2df8c0 verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.5588542819023132,
"min": 0.551475465297699,
"max": 1.4994239807128906,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 16783.51171875,
"min": 16314.849609375,
"max": 45486.52734375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989882.0,
"min": 29952.0,
"max": 989882.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989882.0,
"min": 29952.0,
"max": 989882.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.26304951310157776,
"min": -0.2972862720489502,
"max": 0.3033043146133423,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 66.8145751953125,
"min": -70.45684814453125,
"max": 79.16242980957031,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": -0.0022037788294255733,
"min": -0.032758623361587524,
"max": 0.349622517824173,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": -0.559759795665741,
"min": -8.255172729492188,
"max": 82.86053466796875,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.07021579878591915,
"min": 0.06387294853848481,
"max": 0.07571913160764022,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 1.0532369817887872,
"min": 0.5245881236195779,
"max": 1.0532369817887872,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.010137469942532739,
"min": 0.00022632723707559143,
"max": 0.012744551067785439,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.1520620491379911,
"min": 0.0029422540819826885,
"max": 0.17842371494899614,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.518737493786663e-06,
"min": 7.518737493786663e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00011278106240679995,
"min": 0.00011278106240679995,
"max": 0.0033699007766997994,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10250621333333335,
"min": 0.10250621333333335,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.5375932,
"min": 1.3886848,
"max": 2.4434124000000006,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026037071199999987,
"min": 0.00026037071199999987,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.0039055606799999983,
"min": 0.0039055606799999983,
"max": 0.11234768998000001,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.00693019712343812,
"min": 0.00693019712343812,
"max": 0.33072519302368164,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.10395295917987823,
"min": 0.10054250061511993,
"max": 2.3150763511657715,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 582.5961538461538,
"min": 535.1607142857143,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 30295.0,
"min": 15984.0,
"max": 33423.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 0.9172576578477254,
"min": -1.0000000521540642,
"max": 1.168783640679048,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 47.69739820808172,
"min": -29.930001698434353,
"max": 60.02559797465801,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 0.9172576578477254,
"min": -1.0000000521540642,
"max": 1.168783640679048,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 47.69739820808172,
"min": -29.930001698434353,
"max": 60.02559797465801,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.04182591868587993,
"min": 0.04043102273940998,
"max": 7.33909232635051,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 2.1749477716657566,
"min": 2.1749477716657566,
"max": 117.42547722160816,
"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": "1728371422",
"python_version": "3.10.12 (main, Sep 11 2024, 15:47:36) [GCC 11.4.0]",
"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": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.4.1+cu121",
"numpy_version": "1.23.5",
"end_time_seconds": "1728373588"
},
"total": 2166.9267952929995,
"count": 1,
"self": 0.4774657839993779,
"children": {
"run_training.setup": {
"total": 0.08009313299999121,
"count": 1,
"self": 0.08009313299999121
},
"TrainerController.start_learning": {
"total": 2166.369236376,
"count": 1,
"self": 1.3791560459821994,
"children": {
"TrainerController._reset_env": {
"total": 2.442108112999904,
"count": 1,
"self": 2.442108112999904
},
"TrainerController.advance": {
"total": 2162.461276580018,
"count": 63429,
"self": 1.3354987350935517,
"children": {
"env_step": {
"total": 1461.096447198995,
"count": 63429,
"self": 1308.3559718570373,
"children": {
"SubprocessEnvManager._take_step": {
"total": 151.94399579904393,
"count": 63429,
"self": 4.538589670901729,
"children": {
"TorchPolicy.evaluate": {
"total": 147.4054061281422,
"count": 62559,
"self": 147.4054061281422
}
}
},
"workers": {
"total": 0.7964795429138576,
"count": 63429,
"self": 0.0,
"children": {
"worker_root": {
"total": 2161.5878371790573,
"count": 63429,
"is_parallel": true,
"self": 968.7519943860475,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0029344740000851743,
"count": 1,
"is_parallel": true,
"self": 0.0008366899996872235,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002097784000397951,
"count": 8,
"is_parallel": true,
"self": 0.002097784000397951
}
}
},
"UnityEnvironment.step": {
"total": 0.0500487819999762,
"count": 1,
"is_parallel": true,
"self": 0.0006837619998805167,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00044564700010596425,
"count": 1,
"is_parallel": true,
"self": 0.00044564700010596425
},
"communicator.exchange": {
"total": 0.0473112729996501,
"count": 1,
"is_parallel": true,
"self": 0.0473112729996501
},
"steps_from_proto": {
"total": 0.0016081000003396184,
"count": 1,
"is_parallel": true,
"self": 0.000343535000411066,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0012645649999285524,
"count": 8,
"is_parallel": true,
"self": 0.0012645649999285524
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1192.8358427930098,
"count": 63428,
"is_parallel": true,
"self": 33.539452343953144,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 23.146865097011414,
"count": 63428,
"is_parallel": true,
"self": 23.146865097011414
},
"communicator.exchange": {
"total": 1039.3944780850302,
"count": 63428,
"is_parallel": true,
"self": 1039.3944780850302
},
"steps_from_proto": {
"total": 96.75504726701502,
"count": 63428,
"is_parallel": true,
"self": 19.491244454006846,
"children": {
"_process_rank_one_or_two_observation": {
"total": 77.26380281300817,
"count": 507424,
"is_parallel": true,
"self": 77.26380281300817
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 700.0293306459293,
"count": 63429,
"self": 2.575815916902229,
"children": {
"process_trajectory": {
"total": 130.7592322420237,
"count": 63429,
"self": 130.5627587280237,
"children": {
"RLTrainer._checkpoint": {
"total": 0.19647351399999025,
"count": 2,
"self": 0.19647351399999025
}
}
},
"_update_policy": {
"total": 566.6942824870034,
"count": 446,
"self": 321.5970998759685,
"children": {
"TorchPPOOptimizer.update": {
"total": 245.0971826110349,
"count": 22755,
"self": 245.0971826110349
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.020999661704991e-06,
"count": 1,
"self": 1.020999661704991e-06
},
"TrainerController._save_models": {
"total": 0.0866946160003863,
"count": 1,
"self": 0.0014936180004951893,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08520099799989111,
"count": 1,
"self": 0.08520099799989111
}
}
}
}
}
}
}