poca-SoccerTwos / run_logs /timers.json
vineetpasumarti's picture
First Push`
0c5448e verified
{
"name": "root",
"gauges": {
"SoccerTwos.Policy.Entropy.mean": {
"value": 2.4078967571258545,
"min": 2.336456775665283,
"max": 3.2956981658935547,
"count": 500
},
"SoccerTwos.Policy.Entropy.sum": {
"value": 36214.765625,
"min": 9577.05859375,
"max": 117577.8828125,
"count": 500
},
"SoccerTwos.Environment.EpisodeLength.mean": {
"value": 999.0,
"min": 457.375,
"max": 999.0,
"count": 500
},
"SoccerTwos.Environment.EpisodeLength.sum": {
"value": 19980.0,
"min": 14636.0,
"max": 25336.0,
"count": 500
},
"SoccerTwos.Self-play.ELO.mean": {
"value": 1184.3254499596862,
"min": 1182.8205049961612,
"max": 1202.8285007396225,
"count": 212
},
"SoccerTwos.Self-play.ELO.sum": {
"value": 2368.6508999193725,
"min": 2365.6410099923223,
"max": 16773.913050461364,
"count": 212
},
"SoccerTwos.Step.mean": {
"value": 4999848.0,
"min": 9214.0,
"max": 4999848.0,
"count": 500
},
"SoccerTwos.Step.sum": {
"value": 4999848.0,
"min": 9214.0,
"max": 4999848.0,
"count": 500
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
"value": 3.842867954517715e-05,
"min": -0.026026951149106026,
"max": 0.008658459410071373,
"count": 500
},
"SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
"value": 0.0003842868027277291,
"min": -0.5077522397041321,
"max": 0.1476825624704361,
"count": 500
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
"value": 3.079942689510062e-05,
"min": -0.03120846301317215,
"max": 0.00824311189353466,
"count": 500
},
"SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
"value": 0.000307994254399091,
"min": -0.48113206028938293,
"max": 0.1527102142572403,
"count": 500
},
"SoccerTwos.Environment.CumulativeReward.mean": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 500
},
"SoccerTwos.Environment.CumulativeReward.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"count": 500
},
"SoccerTwos.Policy.ExtrinsicReward.mean": {
"value": 0.0,
"min": -0.5204266667366028,
"max": 0.24879999671663558,
"count": 500
},
"SoccerTwos.Policy.ExtrinsicReward.sum": {
"value": 0.0,
"min": -8.0,
"max": 3.483199954032898,
"count": 500
},
"SoccerTwos.Environment.GroupCumulativeReward.mean": {
"value": 0.0,
"min": -0.5204266667366028,
"max": 0.24879999671663558,
"count": 500
},
"SoccerTwos.Environment.GroupCumulativeReward.sum": {
"value": 0.0,
"min": -8.0,
"max": 3.483199954032898,
"count": 500
},
"SoccerTwos.IsTraining.mean": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 500
},
"SoccerTwos.IsTraining.sum": {
"value": 1.0,
"min": 1.0,
"max": 1.0,
"count": 500
},
"SoccerTwos.Losses.PolicyLoss.mean": {
"value": 0.016669318967372723,
"min": 0.01027831111374932,
"max": 0.024426347203552724,
"count": 231
},
"SoccerTwos.Losses.PolicyLoss.sum": {
"value": 0.016669318967372723,
"min": 0.01027831111374932,
"max": 0.024426347203552724,
"count": 231
},
"SoccerTwos.Losses.ValueLoss.mean": {
"value": 2.3704922691436535e-09,
"min": 2.0531952804603293e-09,
"max": 0.007127757417038083,
"count": 231
},
"SoccerTwos.Losses.ValueLoss.sum": {
"value": 2.3704922691436535e-09,
"min": 2.0531952804603293e-09,
"max": 0.007127757417038083,
"count": 231
},
"SoccerTwos.Losses.BaselineLoss.mean": {
"value": 3.8614038485225896e-09,
"min": 2.9535242918043992e-09,
"max": 0.007214803419386347,
"count": 231
},
"SoccerTwos.Losses.BaselineLoss.sum": {
"value": 3.8614038485225896e-09,
"min": 2.9535242918043992e-09,
"max": 0.007214803419386347,
"count": 231
},
"SoccerTwos.Policy.LearningRate.mean": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 231
},
"SoccerTwos.Policy.LearningRate.sum": {
"value": 0.0003,
"min": 0.0003,
"max": 0.0003,
"count": 231
},
"SoccerTwos.Policy.Epsilon.mean": {
"value": 0.20000000000000007,
"min": 0.2,
"max": 0.20000000000000007,
"count": 231
},
"SoccerTwos.Policy.Epsilon.sum": {
"value": 0.20000000000000007,
"min": 0.2,
"max": 0.20000000000000007,
"count": 231
},
"SoccerTwos.Policy.Beta.mean": {
"value": 0.005000000000000001,
"min": 0.005,
"max": 0.005000000000000001,
"count": 231
},
"SoccerTwos.Policy.Beta.sum": {
"value": 0.005000000000000001,
"min": 0.005,
"max": 0.005000000000000001,
"count": 231
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1733433264",
"python_version": "3.10.12 | packaged by Anaconda, Inc. | (main, Jul 5 2023, 19:01:18) [MSC v.1916 64 bit (AMD64)]",
"command_line_arguments": "\\\\?\\C:\\Users\\Vin\\anaconda3\\envs\\rl\\Scripts\\mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos.exe --run-id=SoccerTwos --no-graphics",
"mlagents_version": "1.2.0.dev0",
"mlagents_envs_version": "1.2.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "2.5.1+cpu",
"numpy_version": "1.23.5",
"end_time_seconds": "1733443146"
},
"total": 9882.538306800008,
"count": 1,
"self": 0.2110576000122819,
"children": {
"run_training.setup": {
"total": 0.09844090000842698,
"count": 1,
"self": 0.09844090000842698
},
"TrainerController.start_learning": {
"total": 9882.228808299988,
"count": 1,
"self": 6.253139402309898,
"children": {
"TrainerController._reset_env": {
"total": 6.14166599989403,
"count": 25,
"self": 6.14166599989403
},
"TrainerController.advance": {
"total": 9869.723774297803,
"count": 325174,
"self": 5.7240172741003335,
"children": {
"env_step": {
"total": 4915.3196110176505,
"count": 325174,
"self": 3909.858783112548,
"children": {
"SubprocessEnvManager._take_step": {
"total": 1001.2645763029286,
"count": 325174,
"self": 34.74585919245146,
"children": {
"TorchPolicy.evaluate": {
"total": 966.5187171104772,
"count": 645838,
"self": 966.5187171104772
}
}
},
"workers": {
"total": 4.196251602174016,
"count": 325174,
"self": 0.0,
"children": {
"worker_root": {
"total": 9869.221724097064,
"count": 325174,
"is_parallel": true,
"self": 6800.246078896365,
"children": {
"steps_from_proto": {
"total": 0.04255759992520325,
"count": 50,
"is_parallel": true,
"self": 0.008013800164917484,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.034543799760285765,
"count": 200,
"is_parallel": true,
"self": 0.034543799760285765
}
}
},
"UnityEnvironment.step": {
"total": 3068.9330876007734,
"count": 325174,
"is_parallel": true,
"self": 158.64112120395293,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 150.8026772031444,
"count": 325174,
"is_parallel": true,
"self": 150.8026772031444
},
"communicator.exchange": {
"total": 2214.300309102866,
"count": 325174,
"is_parallel": true,
"self": 2214.300309102866
},
"steps_from_proto": {
"total": 545.1889800908102,
"count": 650348,
"is_parallel": true,
"self": 102.10490480728913,
"children": {
"_process_rank_one_or_two_observation": {
"total": 443.0840752835211,
"count": 2601392,
"is_parallel": true,
"self": 443.0840752835211
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 4948.680146006052,
"count": 325174,
"self": 46.98278880442376,
"children": {
"process_trajectory": {
"total": 710.0439638016687,
"count": 325174,
"self": 708.9349991016497,
"children": {
"RLTrainer._checkpoint": {
"total": 1.108964700018987,
"count": 10,
"self": 1.108964700018987
}
}
},
"_update_policy": {
"total": 4191.65339339996,
"count": 231,
"self": 829.2122264000063,
"children": {
"TorchPOCAOptimizer.update": {
"total": 3362.4411669999536,
"count": 6933,
"self": 3362.4411669999536
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.0999792721122503e-06,
"count": 1,
"self": 1.0999792721122503e-06
},
"TrainerController._save_models": {
"total": 0.1102275000012014,
"count": 1,
"self": 0.0023566999880131334,
"children": {
"RLTrainer._checkpoint": {
"total": 0.10787080001318827,
"count": 1,
"self": 0.10787080001318827
}
}
}
}
}
}
}