msladic's picture
First version
ead5f7a
{
"name": "root",
"gauges": {
"Pyramids.Policy.Entropy.mean": {
"value": 1.0573031902313232,
"min": 1.0283350944519043,
"max": 1.482879400253296,
"count": 10
},
"Pyramids.Policy.Entropy.sum": {
"value": 31668.345703125,
"min": 31031.041015625,
"max": 44984.62890625,
"count": 10
},
"Pyramids.Step.mean": {
"value": 299877.0,
"min": 29952.0,
"max": 299877.0,
"count": 10
},
"Pyramids.Step.sum": {
"value": 299877.0,
"min": 29952.0,
"max": 299877.0,
"count": 10
},
"Pyramids.Policy.ExtrinsicValueEstimate.mean": {
"value": -0.05917356163263321,
"min": -0.25081866979599,
"max": -0.03742930665612221,
"count": 10
},
"Pyramids.Policy.ExtrinsicValueEstimate.sum": {
"value": -14.260828018188477,
"min": -59.44402313232422,
"max": -9.095321655273438,
"count": 10
},
"Pyramids.Policy.RndValueEstimate.mean": {
"value": 0.030130205675959587,
"min": 0.030130205675959587,
"max": 0.7908480763435364,
"count": 10
},
"Pyramids.Policy.RndValueEstimate.sum": {
"value": 7.261379718780518,
"min": 7.261379718780518,
"max": 187.43099975585938,
"count": 10
},
"Pyramids.Losses.PolicyLoss.mean": {
"value": 0.06475406583659439,
"min": 0.06475406583659439,
"max": 0.07585369387313903,
"count": 10
},
"Pyramids.Losses.PolicyLoss.sum": {
"value": 0.9065569217123215,
"min": 0.5309758571119733,
"max": 0.9974047183231861,
"count": 10
},
"Pyramids.Losses.ValueLoss.mean": {
"value": 0.001817064645193388,
"min": 0.001050950420061226,
"max": 0.024435870466820126,
"count": 10
},
"Pyramids.Losses.ValueLoss.sum": {
"value": 0.025438905032707432,
"min": 0.014036133841501245,
"max": 0.17105109326774087,
"count": 10
},
"Pyramids.Policy.LearningRate.mean": {
"value": 0.00021437231425685716,
"min": 0.00021437231425685716,
"max": 0.00029515063018788575,
"count": 10
},
"Pyramids.Policy.LearningRate.sum": {
"value": 0.0030012123995960004,
"min": 0.0020660544113152,
"max": 0.0037574359475213994,
"count": 10
},
"Pyramids.Policy.Epsilon.mean": {
"value": 0.1714574285714286,
"min": 0.1714574285714286,
"max": 0.19838354285714285,
"count": 10
},
"Pyramids.Policy.Epsilon.sum": {
"value": 2.4004040000000004,
"min": 1.3886848,
"max": 2.6524786,
"count": 10
},
"Pyramids.Policy.Beta.mean": {
"value": 0.007148597114285714,
"min": 0.007148597114285714,
"max": 0.00983851593142857,
"count": 10
},
"Pyramids.Policy.Beta.sum": {
"value": 0.1000803596,
"min": 0.06886961152,
"max": 0.12526261214,
"count": 10
},
"Pyramids.Losses.RNDLoss.mean": {
"value": 0.03676452115178108,
"min": 0.03676452115178108,
"max": 0.8733783960342407,
"count": 10
},
"Pyramids.Losses.RNDLoss.sum": {
"value": 0.5147032737731934,
"min": 0.5147032737731934,
"max": 6.113648891448975,
"count": 10
},
"Pyramids.Environment.EpisodeLength.mean": {
"value": 962.5862068965517,
"min": 885.1351351351351,
"max": 999.0,
"count": 10
},
"Pyramids.Environment.EpisodeLength.sum": {
"value": 27915.0,
"min": 15984.0,
"max": 32750.0,
"count": 10
},
"Pyramids.Environment.CumulativeReward.mean": {
"value": -0.6872483227273514,
"min": -1.0000000521540642,
"max": -0.3992054512774622,
"count": 10
},
"Pyramids.Environment.CumulativeReward.sum": {
"value": -19.93020135909319,
"min": -30.35600170493126,
"max": -14.770601697266102,
"count": 10
},
"Pyramids.Policy.ExtrinsicReward.mean": {
"value": -0.6872483227273514,
"min": -1.0000000521540642,
"max": -0.3992054512774622,
"count": 10
},
"Pyramids.Policy.ExtrinsicReward.sum": {
"value": -19.93020135909319,
"min": -30.35600170493126,
"max": -14.770601697266102,
"count": 10
},
"Pyramids.Policy.RndReward.mean": {
"value": 0.386942556641739,
"min": 0.386942556641739,
"max": 19.006777239963412,
"count": 10
},
"Pyramids.Policy.RndReward.sum": {
"value": 11.22133414261043,
"min": 10.600268902257085,
"max": 304.1084358394146,
"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": "1688465285",
"python_version": "3.10.12 (main, Jun 7 2023, 12:45:35) [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": "0.31.0.dev0",
"mlagents_envs_version": "0.31.0.dev0",
"communication_protocol_version": "1.5.0",
"pytorch_version": "1.11.0+cu102",
"numpy_version": "1.21.2",
"end_time_seconds": "1688465899"
},
"total": 614.7416767500004,
"count": 1,
"self": 0.8938760790001652,
"children": {
"run_training.setup": {
"total": 0.04016198900035306,
"count": 1,
"self": 0.04016198900035306
},
"TrainerController.start_learning": {
"total": 613.8076386819998,
"count": 1,
"self": 0.4007816530020136,
"children": {
"TrainerController._reset_env": {
"total": 3.9895837120002398,
"count": 1,
"self": 3.9895837120002398
},
"TrainerController.advance": {
"total": 609.4130555079978,
"count": 20147,
"self": 0.4298157931143578,
"children": {
"env_step": {
"total": 411.5424404559358,
"count": 20147,
"self": 377.7109921189153,
"children": {
"SubprocessEnvManager._take_step": {
"total": 33.599505514002885,
"count": 20147,
"self": 1.446341112995924,
"children": {
"TorchPolicy.evaluate": {
"total": 32.15316440100696,
"count": 20000,
"self": 32.15316440100696
}
}
},
"workers": {
"total": 0.23194282301756175,
"count": 20147,
"self": 0.0,
"children": {
"worker_root": {
"total": 612.3738449340262,
"count": 20147,
"is_parallel": true,
"self": 268.73282553302124,
"children": {
"run_training.setup": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"steps_from_proto": {
"total": 0.0017753709998942213,
"count": 1,
"is_parallel": true,
"self": 0.0005532139998649654,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0012221570000292559,
"count": 8,
"is_parallel": true,
"self": 0.0012221570000292559
}
}
},
"UnityEnvironment.step": {
"total": 0.05116309300001376,
"count": 1,
"is_parallel": true,
"self": 0.0006325649997052096,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 0.00048526199998377706,
"count": 1,
"is_parallel": true,
"self": 0.00048526199998377706
},
"communicator.exchange": {
"total": 0.04762792600013199,
"count": 1,
"is_parallel": true,
"self": 0.04762792600013199
},
"steps_from_proto": {
"total": 0.0024173400001927803,
"count": 1,
"is_parallel": true,
"self": 0.00039833900018493296,
"children": {
"_process_rank_one_or_two_observation": {
"total": 0.0020190010000078473,
"count": 8,
"is_parallel": true,
"self": 0.0020190010000078473
}
}
}
}
}
}
},
"UnityEnvironment.step": {
"total": 343.641019401005,
"count": 20146,
"is_parallel": true,
"self": 10.434304075012278,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 7.09531802002266,
"count": 20146,
"is_parallel": true,
"self": 7.09531802002266
},
"communicator.exchange": {
"total": 295.03710324501435,
"count": 20146,
"is_parallel": true,
"self": 295.03710324501435
},
"steps_from_proto": {
"total": 31.074294060955708,
"count": 20146,
"is_parallel": true,
"self": 5.978077508113074,
"children": {
"_process_rank_one_or_two_observation": {
"total": 25.096216552842634,
"count": 161168,
"is_parallel": true,
"self": 25.096216552842634
}
}
}
}
}
}
}
}
}
}
},
"trainer_advance": {
"total": 197.44079925894766,
"count": 20147,
"self": 0.6584265248916381,
"children": {
"process_trajectory": {
"total": 32.6256177480559,
"count": 20147,
"self": 32.6256177480559
},
"_update_policy": {
"total": 164.15675498600012,
"count": 132,
"self": 105.16791346599894,
"children": {
"TorchPPOOptimizer.update": {
"total": 58.98884152000119,
"count": 7248,
"self": 58.98884152000119
}
}
}
}
}
}
},
"trainer_threads": {
"total": 1.1299998732283711e-06,
"count": 1,
"self": 1.1299998732283711e-06
},
"TrainerController._save_models": {
"total": 0.004216678999910073,
"count": 1,
"self": 2.296999991813209e-05,
"children": {
"RLTrainer._checkpoint": {
"total": 0.004193708999991941,
"count": 1,
"self": 0.004193708999991941
}
}
}
}
}
}
}