|
{ |
|
"name": "root", |
|
"gauges": { |
|
"Pyramids.Policy.Entropy.mean": { |
|
"value": 0.6952756643295288, |
|
"min": 0.6952756643295288, |
|
"max": 0.7228708863258362, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.Entropy.sum": { |
|
"value": 20602.408203125, |
|
"min": 15810.6318359375, |
|
"max": 20602.408203125, |
|
"count": 2 |
|
}, |
|
"Pyramids.Step.mean": { |
|
"value": 599925.0, |
|
"min": 569959.0, |
|
"max": 599925.0, |
|
"count": 2 |
|
}, |
|
"Pyramids.Step.sum": { |
|
"value": 599925.0, |
|
"min": 569959.0, |
|
"max": 599925.0, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
|
"value": 0.3051663041114807, |
|
"min": 0.3051663041114807, |
|
"max": 0.31641384959220886, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
|
"value": 78.42774200439453, |
|
"min": 57.587318420410156, |
|
"max": 78.42774200439453, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.mean": { |
|
"value": 0.03122531622648239, |
|
"min": 0.029503462836146355, |
|
"max": 0.03122531622648239, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.sum": { |
|
"value": 8.024906158447266, |
|
"min": 5.369630336761475, |
|
"max": 8.024906158447266, |
|
"count": 2 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.mean": { |
|
"value": 553.0816326530612, |
|
"min": 428.35, |
|
"max": 553.0816326530612, |
|
"count": 2 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.sum": { |
|
"value": 27101.0, |
|
"min": 17134.0, |
|
"max": 27101.0, |
|
"count": 2 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.mean": { |
|
"value": 1.2019387472953116, |
|
"min": 1.2019387472953116, |
|
"max": 1.421574972756207, |
|
"count": 2 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.sum": { |
|
"value": 58.894998617470264, |
|
"min": 56.86299891024828, |
|
"max": 58.894998617470264, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.mean": { |
|
"value": 1.2019387472953116, |
|
"min": 1.2019387472953116, |
|
"max": 1.421574972756207, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.sum": { |
|
"value": 58.894998617470264, |
|
"min": 56.86299891024828, |
|
"max": 58.894998617470264, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.RndReward.mean": { |
|
"value": 0.11890821227487842, |
|
"min": 0.09293368358776206, |
|
"max": 0.11890821227487842, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.RndReward.sum": { |
|
"value": 5.8265024014690425, |
|
"min": 3.7173473435104825, |
|
"max": 5.8265024014690425, |
|
"count": 2 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.mean": { |
|
"value": 0.0656754122276191, |
|
"min": 0.0656754122276191, |
|
"max": 0.06623300981677689, |
|
"count": 2 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.sum": { |
|
"value": 0.9194557711866675, |
|
"min": 0.5960970883509921, |
|
"max": 0.9194557711866675, |
|
"count": 2 |
|
}, |
|
"Pyramids.Losses.ValueLoss.mean": { |
|
"value": 0.011471936822199904, |
|
"min": 0.011471936822199904, |
|
"max": 0.011659463921306372, |
|
"count": 2 |
|
}, |
|
"Pyramids.Losses.ValueLoss.sum": { |
|
"value": 0.16060711551079865, |
|
"min": 0.10493517529175735, |
|
"max": 0.16060711551079865, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.LearningRate.mean": { |
|
"value": 0.00012472141556907142, |
|
"min": 0.00012472141556907142, |
|
"max": 0.0001320175559941667, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.LearningRate.sum": { |
|
"value": 0.001746099817967, |
|
"min": 0.0011881580039475002, |
|
"max": 0.001746099817967, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.Epsilon.mean": { |
|
"value": 0.14157378571428572, |
|
"min": 0.14157378571428572, |
|
"max": 0.14400583333333336, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.Epsilon.sum": { |
|
"value": 1.982033, |
|
"min": 1.2960525000000003, |
|
"max": 1.982033, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.Beta.mean": { |
|
"value": 0.0041632211928571425, |
|
"min": 0.0041632211928571425, |
|
"max": 0.00440618275, |
|
"count": 2 |
|
}, |
|
"Pyramids.Policy.Beta.sum": { |
|
"value": 0.0582850967, |
|
"min": 0.03965564475, |
|
"max": 0.0582850967, |
|
"count": 2 |
|
}, |
|
"Pyramids.Losses.RNDLoss.mean": { |
|
"value": 0.020621448755264282, |
|
"min": 0.020621448755264282, |
|
"max": 0.021258942782878876, |
|
"count": 2 |
|
}, |
|
"Pyramids.Losses.RNDLoss.sum": { |
|
"value": 0.28870028257369995, |
|
"min": 0.19133047759532928, |
|
"max": 0.28870028257369995, |
|
"count": 2 |
|
}, |
|
"Pyramids.IsTraining.mean": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 2 |
|
}, |
|
"Pyramids.IsTraining.sum": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 2 |
|
} |
|
}, |
|
"metadata": { |
|
"timer_format_version": "0.1.0", |
|
"start_time_seconds": "1714275379", |
|
"python_version": "3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0]", |
|
"command_line_arguments": "/home/saini5/miniforge3/envs/hf_rl_mlagents_env/bin/mlagents-learn ml-agents/config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --resume", |
|
"mlagents_version": "1.1.0.dev0", |
|
"mlagents_envs_version": "1.1.0.dev0", |
|
"communication_protocol_version": "1.5.0", |
|
"pytorch_version": "2.3.0+cu121", |
|
"numpy_version": "1.23.5", |
|
"end_time_seconds": "1714275494" |
|
}, |
|
"total": 115.7308161309993, |
|
"count": 1, |
|
"self": 0.28315517800001544, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.011984718999883626, |
|
"count": 1, |
|
"self": 0.011984718999883626 |
|
}, |
|
"TrainerController.start_learning": { |
|
"total": 115.4356762339994, |
|
"count": 1, |
|
"self": 0.07451290999779303, |
|
"children": { |
|
"TrainerController._reset_env": { |
|
"total": 3.4376514420000603, |
|
"count": 1, |
|
"self": 3.4376514420000603 |
|
}, |
|
"TrainerController.advance": { |
|
"total": 111.83582807700259, |
|
"count": 3465, |
|
"self": 0.08447649202389584, |
|
"children": { |
|
"env_step": { |
|
"total": 89.24504656496174, |
|
"count": 3465, |
|
"self": 83.32598049001899, |
|
"children": { |
|
"SubprocessEnvManager._take_step": { |
|
"total": 5.86615790896758, |
|
"count": 3465, |
|
"self": 0.2324731719400006, |
|
"children": { |
|
"TorchPolicy.evaluate": { |
|
"total": 5.633684737027579, |
|
"count": 3393, |
|
"self": 5.633684737027579 |
|
} |
|
} |
|
}, |
|
"workers": { |
|
"total": 0.05290816597516823, |
|
"count": 3464, |
|
"self": 0.0, |
|
"children": { |
|
"worker_root": { |
|
"total": 115.17828353205186, |
|
"count": 3464, |
|
"is_parallel": true, |
|
"self": 37.38909135808899, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.0, |
|
"count": 0, |
|
"is_parallel": true, |
|
"self": 0.0, |
|
"children": { |
|
"steps_from_proto": { |
|
"total": 0.0013480579982569907, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00042823799958569, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0009198199986713007, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0009198199986713007 |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 0.03467490299954079, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00019506200078467373, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.0003417369989620056, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0003417369989620056 |
|
}, |
|
"communicator.exchange": { |
|
"total": 0.033656734000032884, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.033656734000032884 |
|
}, |
|
"steps_from_proto": { |
|
"total": 0.0004813699997612275, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00011746399832190946, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.00036390600143931806, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.00036390600143931806 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 77.78919217396287, |
|
"count": 3463, |
|
"is_parallel": true, |
|
"self": 1.0151009270630311, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.8757327639050345, |
|
"count": 3463, |
|
"is_parallel": true, |
|
"self": 0.8757327639050345 |
|
}, |
|
"communicator.exchange": { |
|
"total": 73.00172853798904, |
|
"count": 3463, |
|
"is_parallel": true, |
|
"self": 73.00172853798904 |
|
}, |
|
"steps_from_proto": { |
|
"total": 2.8966299450057704, |
|
"count": 3463, |
|
"is_parallel": true, |
|
"self": 0.6936075289377186, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 2.203022416068052, |
|
"count": 27704, |
|
"is_parallel": true, |
|
"self": 2.203022416068052 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_advance": { |
|
"total": 22.506305020016953, |
|
"count": 3464, |
|
"self": 0.13575411398960568, |
|
"children": { |
|
"process_trajectory": { |
|
"total": 4.324522689030346, |
|
"count": 3464, |
|
"self": 4.324522689030346 |
|
}, |
|
"_update_policy": { |
|
"total": 18.046028216997, |
|
"count": 25, |
|
"self": 8.686620139034858, |
|
"children": { |
|
"TorchPPOOptimizer.update": { |
|
"total": 9.359408077962144, |
|
"count": 1203, |
|
"self": 9.359408077962144 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_threads": { |
|
"total": 1.4519991964334622e-06, |
|
"count": 1, |
|
"self": 1.4519991964334622e-06 |
|
}, |
|
"TrainerController._save_models": { |
|
"total": 0.08768235299976368, |
|
"count": 1, |
|
"self": 0.0018772519997583004, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.08580510100000538, |
|
"count": 1, |
|
"self": 0.08580510100000538 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |