Toamtoo's picture
=snowball woo
b8d6f5d verified
Raw
History Blame Contribute Delete
17.5 kB
{
"name": "root",
"gauges": {
"SnowballTarget.Policy.Entropy.mean": {
"value": 0.8191041946411133,
"min": 0.8168907165527344,
"max": 2.844559669494629,
"count": 20
},
"SnowballTarget.Policy.Entropy.sum": {
"value": 7784.76611328125,
"min": 7784.76611328125,
"max": 29037.265625,
"count": 20
},
"SnowballTarget.Step.mean": {
"value": 199984.0,
"min": 9952.0,
"max": 199984.0,
"count": 20
},
"SnowballTarget.Step.sum": {
"value": 199984.0,
"min": 9952.0,
"max": 199984.0,
"count": 20
},
"SnowballTarget.Policy.ExtrinsicValueEstimate.mean": {
"value": 12.777548789978027,
"min": 0.5040497183799744,
"max": 12.777548789978027,
"count": 20
},
"SnowballTarget.Policy.ExtrinsicValueEstimate.sum": {
"value": 2491.6220703125,
"min": 97.78564453125,
"max": 2600.6904296875,
"count": 20
},
"SnowballTarget.Losses.PolicyLoss.mean": {
"value": 0.06610743703683564,
"min": 0.06183478732184762,
"max": 0.07442297141282253,
"count": 20
},
"SnowballTarget.Losses.PolicyLoss.sum": {
"value": 0.26442974814734255,
"min": 0.26442974814734255,
"max": 0.3618406334015376,
"count": 20
},
"SnowballTarget.Losses.ValueLoss.mean": {
"value": 0.19940616351132295,
"min": 0.13769224339950026,
"max": 0.292043315064089,
"count": 20
},
"SnowballTarget.Losses.ValueLoss.sum": {
"value": 0.7976246540452918,
"min": 0.550768973598001,
"max": 1.4097946090441125,
"count": 20
},
"SnowballTarget.Policy.LearningRate.mean": {
"value": 8.082097306000005e-06,
"min": 8.082097306000005e-06,
"max": 0.000291882002706,
"count": 20
},
"SnowballTarget.Policy.LearningRate.sum": {
"value": 3.232838922400002e-05,
"min": 3.232838922400002e-05,
"max": 0.00138516003828,
"count": 20
},
"SnowballTarget.Policy.Epsilon.mean": {
"value": 0.10269400000000001,
"min": 0.10269400000000001,
"max": 0.19729400000000002,
"count": 20
},
"SnowballTarget.Policy.Epsilon.sum": {
"value": 0.41077600000000003,
"min": 0.41077600000000003,
"max": 0.96172,
"count": 20
},
"SnowballTarget.Policy.Beta.mean": {
"value": 0.0001444306000000001,
"min": 0.0001444306000000001,
"max": 0.0048649706,
"count": 20
},
"SnowballTarget.Policy.Beta.sum": {
"value": 0.0005777224000000004,
"min": 0.0005777224000000004,
"max": 0.023089828,
"count": 20
},
"SnowballTarget.Environment.EpisodeLength.mean": {
"value": 199.0,
"min": 199.0,
"max": 199.0,
"count": 20
},
"SnowballTarget.Environment.EpisodeLength.sum": {
"value": 8756.0,
"min": 8756.0,
"max": 10945.0,
"count": 20
},
"SnowballTarget.Environment.CumulativeReward.mean": {
"value": 24.954545454545453,
"min": 3.6136363636363638,
"max": 25.29090909090909,
"count": 20
},
"SnowballTarget.Environment.CumulativeReward.sum": {
"value": 1098.0,
"min": 159.0,
"max": 1391.0,
"count": 20
},
"SnowballTarget.Policy.ExtrinsicReward.mean": {
"value": 24.954545454545453,
"min": 3.6136363636363638,
"max": 25.29090909090909,
"count": 20
},
"SnowballTarget.Policy.ExtrinsicReward.sum": {
"value": 1098.0,
"min": 159.0,
"max": 1391.0,
"count": 20
},
"SnowballTarget.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 20
},
"SnowballTarget.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 20
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1784955935",
"python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]",
"command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics",
"mlagents_version": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.8.0+cu128",
"numpy_version": "1.23.5",
"end_time_seconds": "1784956433"
},
"total": 497.82889481999996,
"count": 1,
"self": 0.48564595599998484,
"children": {
"run_training.setup": {
"total": 0.03599853000002895,
"count": 1,
"self": 0.03599853000002895
},
"TrainerController.start_learning": {
"total": 497.30725033399995,
"count": 1,
"self": 0.40398559001459944,
"children": {
"TrainerController._reset_env": {
"total": 3.6476951199999803,
"count": 1,
"self": 3.6476951199999803
},
"TrainerController.advance": {
"total": 493.16699652698526,
"count": 18192,
"self": 0.41628284098885615,
"children": {
"env_step": {
"total": 364.97144433401127,
"count": 18192,
"self": 286.47486634300094,
"children": {
"SubprocessEnvManager._take_step": {
"total": 78.25181233300066,
"count": 18192,
"self": 1.3897810890005076,
"children": {
"TorchPolicy.evaluate": {
"total": 76.86203124400015,
"count": 18192,
"self": 76.86203124400015
}
}
},
"workers": {
"total": 0.2447656580096691,
"count": 18192,
"self": 0.0,
"children": {
"worker_root": {
"total": 495.3056976140002,
"count": 18192,
"is_parallel": true,
"self": 243.5925174019826,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.005603825999969558,
"count": 1,
"is_parallel": true,
"self": 0.004090062999921429,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0015137630000481295,
"count": 10,
"is_parallel": true,
"self": 0.0015137630000481295
}
}
},
"UnityEnvironment.step": {
"total": 0.06093244900000627,
"count": 1,
"is_parallel": true,
"self": 0.0006562769999618467,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00039217300002292177,
"count": 1,
"is_parallel": true,
"self": 0.00039217300002292177
},
"communicator.exchange": {
"total": 0.05739015599999675,
"count": 1,
"is_parallel": true,
"self": 0.05739015599999675
},
"steps_from_proto": {
"total": 0.0024938430000247536,
"count": 1,
"is_parallel": true,
"self": 0.0004733160000114367,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.002020527000013317,
"count": 10,
"is_parallel": true,
"self": 0.002020527000013317
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 251.71318021201762,
"count": 18191,
"is_parallel": true,
"self": 11.382995059004998,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 6.147279224999011,
"count": 18191,
"is_parallel": true,
"self": 6.147279224999011
},
"communicator.exchange": {
"total": 192.32144290299482,
"count": 18191,
"is_parallel": true,
"self": 192.32144290299482
},
"steps_from_proto": {
"total": 41.86146302501879,
"count": 18191,
"is_parallel": true,
"self": 7.187498229020434,
"children": {
"_process_rank_one_or_two_observation": {
"total": 34.67396479599836,
"count": 181910,
"is_parallel": true,
"self": 34.67396479599836
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 127.77926935198514,
"count": 18192,
"self": 0.4886921449796091,
"children": {
"process_trajectory": {
"total": 26.166490241005135,
"count": 18192,
"self": 25.698378779004997,
"children": {
"RLTrainer._checkpoint": {
"total": 0.4681114620001381,
"count": 4,
"self": 0.4681114620001381
}
}
},
"_update_policy": {
"total": 101.12408696600039,
"count": 90,
"self": 41.11894161300165,
"children": {
"TorchPPOOptimizer.update": {
"total": 60.00514535299874,
"count": 4587,
"self": 60.00514535299874
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0130002010555472e-06,
"count": 1,
"self": 1.0130002010555472e-06
},
"TrainerController._save_models": {
"total": 0.08857208399990668,
"count": 1,
"self": 0.0007754709999971965,
"children": {
"RLTrainer._checkpoint": {
"total": 0.08779661299990948,
"count": 1,
"self": 0.08779661299990948
}
}
}
}
}
}
}