ppo-PyramidsRND / run_logs /timers.json
aselbaekki's picture
Pyramid game
206be5a verified
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 0.4721953868865967,
"min": 0.4721953868865967,
"max": 1.493204116821289,
"count": 33
},
"Pyramids.Policy.Entropy.sum": {
"value": 14097.865234375,
"min": 14097.865234375,
"max": 45297.83984375,
"count": 33
},
"Pyramids.Step.mean": {
"value": 989981.0,
"min": 29952.0,
"max": 989981.0,
"count": 33
},
"Pyramids.Step.sum": {
"value": 989981.0,
"min": 29952.0,
"max": 989981.0,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": 0.36898553371429443,
"min": -0.08865886181592941,
"max": 0.3906594216823578,
"count": 33
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": 97.04319763183594,
"min": -21.366785049438477,
"max": 103.52474975585938,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": -0.032084815204143524,
"min": -0.032084815204143524,
"max": 0.2022375762462616,
"count": 33
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": -8.43830680847168,
"min": -8.43830680847168,
"max": 48.537017822265625,
"count": 33
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06696300321934921,
"min": 0.06482201028952621,
"max": 0.07428567994080083,
"count": 33
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9374820450708891,
"min": 0.4864473035659417,
"max": 1.0797611826515185,
"count": 33
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.01300539549646644,
"min": 0.0006810838695920599,
"max": 0.013819628464781478,
"count": 33
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.18207553695053016,
"min": 0.006607853886844064,
"max": 0.1934747985069407,
"count": 33
},
"Pyramids.Policy.LearningRate.mean": {
"value": 7.69565457767143e-06,
"min": 7.69565457767143e-06,
"max": 0.00029515063018788575,
"count": 33
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.00010773916408740002,
"min": 0.00010773916408740002,
"max": 0.0033807812730729998,
"count": 33
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.10256518571428572,
"min": 0.10256518571428572,
"max": 0.19838354285714285,
"count": 33
},
"Pyramids.Policy.Epsilon.sum": {
"value": 1.4359126,
"min": 1.3691136000000002,
"max": 2.526927,
"count": 33
},
"Pyramids.Policy.Beta.mean": {
"value": 0.00026626205285714294,
"min": 0.00026626205285714294,
"max": 0.00983851593142857,
"count": 33
},
"Pyramids.Policy.Beta.sum": {
"value": 0.003727668740000001,
"min": 0.003727668740000001,
"max": 0.11272000729999998,
"count": 33
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.013073139823973179,
"min": 0.013073139823973179,
"max": 0.39544448256492615,
"count": 33
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.18302395939826965,
"min": 0.18302395939826965,
"max": 2.76811146736145,
"count": 33
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 451.72131147540983,
"min": 430.55555555555554,
"max": 999.0,
"count": 33
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 27555.0,
"min": 15984.0,
"max": 32558.0,
"count": 33
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": 1.3131866462528705,
"min": -1.0000000521540642,
"max": 1.402733309297926,
"count": 33
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": 78.79119877517223,
"min": -32.000001668930054,
"max": 100.99679826945066,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": 1.3131866462528705,
"min": -1.0000000521540642,
"max": 1.402733309297926,
"count": 33
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": 78.79119877517223,
"min": -32.000001668930054,
"max": 100.99679826945066,
"count": 33
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.06140258851761852,
"min": 0.0577265878859584,
"max": 7.813111422583461,
"count": 33
},
"Pyramids.Policy.RndReward.sum": {
"value": 3.6841553110571112,
"min": 3.6841553110571112,
"max": 125.00978276133537,
"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": "1739168610",
"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/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": "2.6.0+cu124",
"numpy_version": "1.23.5",
"end_time_seconds": "1739170876"
},
"total": 2266.500905179,
"count": 1,
"self": 0.4967932709996603,
"children": {
"run_training.setup": {
"total": 0.022443112000019028,
"count": 1,
"self": 0.022443112000019028
},
"TrainerController.start_learning": {
"total": 2265.981668796,
"count": 1,
"self": 1.4262639259641219,
"children": {
"TrainerController._reset_env": {
"total": 3.218919051999819,
"count": 1,
"self": 3.218919051999819
},
"TrainerController.advance": {
"total": 2261.247164184036,
"count": 63596,
"self": 1.4708147980322792,
"children": {
"env_step": {
"total": 1574.7532440460425,
"count": 63596,
"self": 1415.0824145039085,
"children": {
"SubprocessEnvManager._take_step": {
"total": 158.82616301405892,
"count": 63596,
"self": 4.839324174033209,
"children": {
"TorchPolicy.evaluate": {
"total": 153.9868388400257,
"count": 62582,
"self": 153.9868388400257
}
}
},
"workers": {
"total": 0.8446665280750949,
"count": 63596,
"self": 0.0,
"children": {
"worker_root": {
"total": 2260.6057218870005,
"count": 63596,
"is_parallel": true,
"self": 964.6158320479954,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.006391806999999972,
"count": 1,
"is_parallel": true,
"self": 0.0049930800000765885,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013987269999233831,
"count": 8,
"is_parallel": true,
"self": 0.0013987269999233831
}
}
},
"UnityEnvironment.step": {
"total": 0.10376846100007242,
"count": 1,
"is_parallel": true,
"self": 0.000515161999828706,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.0004891589999260759,
"count": 1,
"is_parallel": true,
"self": 0.0004891589999260759
},
"communicator.exchange": {
"total": 0.10094323700013774,
"count": 1,
"is_parallel": true,
"self": 0.10094323700013774
},
"steps_from_proto": {
"total": 0.0018209030001798965,
"count": 1,
"is_parallel": true,
"self": 0.0004953610000484332,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0013255420001314633,
"count": 8,
"is_parallel": true,
"self": 0.0013255420001314633
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 1295.9898898390052,
"count": 63595,
"is_parallel": true,
"self": 32.198771507023594,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 22.98706648104144,
"count": 63595,
"is_parallel": true,
"self": 22.98706648104144
},
"communicator.exchange": {
"total": 1143.5183168340373,
"count": 63595,
"is_parallel": true,
"self": 1143.5183168340373
},
"steps_from_proto": {
"total": 97.28573501690289,
"count": 63595,
"is_parallel": true,
"self": 19.767963773849033,
"children": {
"_process_rank_one_or_two_observation": {
"total": 77.51777124305386,
"count": 508760,
"is_parallel": true,
"self": 77.51777124305386
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 685.0231053399614,
"count": 63596,
"self": 2.7978552029435377,
"children": {
"process_trajectory": {
"total": 129.12705710201726,
"count": 63596,
"self": 128.87863575301708,
"children": {
"RLTrainer._checkpoint": {
"total": 0.2484213490001821,
"count": 2,
"self": 0.2484213490001821
}
}
},
"_update_policy": {
"total": 553.0981930350006,
"count": 445,
"self": 305.53042718799793,
"children": {
"TorchPPOOptimizer.update": {
"total": 247.56776584700265,
"count": 22833,
"self": 247.56776584700265
}
}
}
}
}
}
},
"trainer_threads": {
"total": 9.99999883788405e-07,
"count": 1,
"self": 9.99999883788405e-07
},
"TrainerController._save_models": {
"total": 0.08932063400015977,
"count": 1,
"self": 0.0014554820004377689,
"children": {
"RLTrainer._checkpoint": {
"total": 0.087865151999722,
"count": 1,
"self": 0.087865151999722
}
}
}
}
}
}
}