|
{ |
|
"name": "root", |
|
"gauges": { |
|
"Pyramids.Policy.Entropy.mean": { |
|
"value": 0.47815948724746704, |
|
"min": 0.47815948724746704, |
|
"max": 1.4071797132492065, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.Entropy.sum": { |
|
"value": 14291.23046875, |
|
"min": 14291.23046875, |
|
"max": 42688.203125, |
|
"count": 36 |
|
}, |
|
"Pyramids.Step.mean": { |
|
"value": 1079945.0, |
|
"min": 29952.0, |
|
"max": 1079945.0, |
|
"count": 36 |
|
}, |
|
"Pyramids.Step.sum": { |
|
"value": 1079945.0, |
|
"min": 29952.0, |
|
"max": 1079945.0, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
|
"value": 0.6419244408607483, |
|
"min": -0.11252445727586746, |
|
"max": 0.6419244408607483, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
|
"value": 179.7388458251953, |
|
"min": -27.230918884277344, |
|
"max": 180.59671020507812, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.mean": { |
|
"value": -0.010029821656644344, |
|
"min": -0.010826490819454193, |
|
"max": 0.49480146169662476, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.sum": { |
|
"value": -2.808350086212158, |
|
"min": -2.8798465728759766, |
|
"max": 117.2679443359375, |
|
"count": 36 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.mean": { |
|
"value": 0.06839069515644085, |
|
"min": 0.06356442188067982, |
|
"max": 0.07343371467483369, |
|
"count": 36 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.sum": { |
|
"value": 0.9574697321901718, |
|
"min": 0.500739667878082, |
|
"max": 1.090445691855469, |
|
"count": 36 |
|
}, |
|
"Pyramids.Losses.ValueLoss.mean": { |
|
"value": 0.014643920549826274, |
|
"min": 0.0005605292232609406, |
|
"max": 0.014891801925495244, |
|
"count": 36 |
|
}, |
|
"Pyramids.Losses.ValueLoss.sum": { |
|
"value": 0.20501488769756784, |
|
"min": 0.007847409125653168, |
|
"max": 0.2166041955545855, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.LearningRate.mean": { |
|
"value": 0.0001935294854901833, |
|
"min": 0.0001935294854901833, |
|
"max": 0.00029838354339596195, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.LearningRate.sum": { |
|
"value": 0.0027094127968625664, |
|
"min": 0.0020886848037717336, |
|
"max": 0.004010992663002467, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.Epsilon.mean": { |
|
"value": 0.16450981666666667, |
|
"min": 0.16450981666666667, |
|
"max": 0.19946118095238097, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.Epsilon.sum": { |
|
"value": 2.303137433333333, |
|
"min": 1.3962282666666668, |
|
"max": 2.737553433333334, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.Beta.mean": { |
|
"value": 0.006454530685, |
|
"min": 0.006454530685, |
|
"max": 0.009946171977142856, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.Beta.sum": { |
|
"value": 0.09036342959, |
|
"min": 0.06962320384, |
|
"max": 0.13370605358, |
|
"count": 36 |
|
}, |
|
"Pyramids.Losses.RNDLoss.mean": { |
|
"value": 0.009860126301646233, |
|
"min": 0.008886665105819702, |
|
"max": 0.4953594505786896, |
|
"count": 36 |
|
}, |
|
"Pyramids.Losses.RNDLoss.sum": { |
|
"value": 0.13804176449775696, |
|
"min": 0.12441331148147583, |
|
"max": 3.4675161838531494, |
|
"count": 36 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.mean": { |
|
"value": 312.3, |
|
"min": 292.43564356435644, |
|
"max": 999.0, |
|
"count": 36 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.sum": { |
|
"value": 28107.0, |
|
"min": 15984.0, |
|
"max": 32703.0, |
|
"count": 36 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.mean": { |
|
"value": 1.6210066413713826, |
|
"min": -1.0000000521540642, |
|
"max": 1.6210066413713826, |
|
"count": 36 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.sum": { |
|
"value": 145.89059772342443, |
|
"min": -29.163801692426205, |
|
"max": 162.46159832179546, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.mean": { |
|
"value": 1.6210066413713826, |
|
"min": -1.0000000521540642, |
|
"max": 1.6210066413713826, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.sum": { |
|
"value": 145.89059772342443, |
|
"min": -29.163801692426205, |
|
"max": 162.46159832179546, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.RndReward.mean": { |
|
"value": 0.03258738735959115, |
|
"min": 0.030348350527341302, |
|
"max": 10.07096153870225, |
|
"count": 36 |
|
}, |
|
"Pyramids.Policy.RndReward.sum": { |
|
"value": 2.9328648623632034, |
|
"min": 2.7411322458283394, |
|
"max": 161.135384619236, |
|
"count": 36 |
|
}, |
|
"Pyramids.IsTraining.mean": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 36 |
|
}, |
|
"Pyramids.IsTraining.sum": { |
|
"value": 1.0, |
|
"min": 1.0, |
|
"max": 1.0, |
|
"count": 36 |
|
} |
|
}, |
|
"metadata": { |
|
"timer_format_version": "0.1.0", |
|
"start_time_seconds": "1711385354", |
|
"python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0]", |
|
"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": "1.1.0.dev0", |
|
"mlagents_envs_version": "1.1.0.dev0", |
|
"communication_protocol_version": "1.5.0", |
|
"pytorch_version": "2.2.1+cu121", |
|
"numpy_version": "1.23.5", |
|
"end_time_seconds": "1711387896" |
|
}, |
|
"total": 2542.346151972, |
|
"count": 1, |
|
"self": 0.5309858070004339, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.051982106999730604, |
|
"count": 1, |
|
"self": 0.051982106999730604 |
|
}, |
|
"TrainerController.start_learning": { |
|
"total": 2541.7631840579998, |
|
"count": 1, |
|
"self": 1.7213359299171316, |
|
"children": { |
|
"TrainerController._reset_env": { |
|
"total": 2.2638276279999445, |
|
"count": 1, |
|
"self": 2.2638276279999445 |
|
}, |
|
"TrainerController.advance": { |
|
"total": 2537.7780191400834, |
|
"count": 70343, |
|
"self": 1.8593174349753099, |
|
"children": { |
|
"env_step": { |
|
"total": 1832.1659136910534, |
|
"count": 70343, |
|
"self": 1671.802882216141, |
|
"children": { |
|
"SubprocessEnvManager._take_step": { |
|
"total": 159.29616255194878, |
|
"count": 70343, |
|
"self": 5.766553772971747, |
|
"children": { |
|
"TorchPolicy.evaluate": { |
|
"total": 153.52960877897704, |
|
"count": 68888, |
|
"self": 153.52960877897704 |
|
} |
|
} |
|
}, |
|
"workers": { |
|
"total": 1.0668689229637494, |
|
"count": 70342, |
|
"self": 0.0, |
|
"children": { |
|
"worker_root": { |
|
"total": 2535.909101165019, |
|
"count": 70342, |
|
"is_parallel": true, |
|
"self": 1010.0970267519479, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.0, |
|
"count": 0, |
|
"is_parallel": true, |
|
"self": 0.0, |
|
"children": { |
|
"steps_from_proto": { |
|
"total": 0.002364308999858622, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0007468940002581803, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0016174149996004417, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0016174149996004417 |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 0.08976130900009593, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0006464590001087345, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.0004880199999206525, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0004880199999206525 |
|
}, |
|
"communicator.exchange": { |
|
"total": 0.08697422899967933, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.08697422899967933 |
|
}, |
|
"steps_from_proto": { |
|
"total": 0.0016526010003872216, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00032361900002797483, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0013289820003592467, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0013289820003592467 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 1525.812074413071, |
|
"count": 70341, |
|
"is_parallel": true, |
|
"self": 40.40756634888703, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 28.177959748069952, |
|
"count": 70341, |
|
"is_parallel": true, |
|
"self": 28.177959748069952 |
|
}, |
|
"communicator.exchange": { |
|
"total": 1336.9210302860288, |
|
"count": 70341, |
|
"is_parallel": true, |
|
"self": 1336.9210302860288 |
|
}, |
|
"steps_from_proto": { |
|
"total": 120.3055180300853, |
|
"count": 70341, |
|
"is_parallel": true, |
|
"self": 25.02236169707021, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 95.28315633301509, |
|
"count": 562728, |
|
"is_parallel": true, |
|
"self": 95.28315633301509 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_advance": { |
|
"total": 703.7527880140547, |
|
"count": 70342, |
|
"self": 3.2670534280186985, |
|
"children": { |
|
"process_trajectory": { |
|
"total": 148.5039861730279, |
|
"count": 70342, |
|
"self": 148.2440870410278, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.2598991320001005, |
|
"count": 2, |
|
"self": 0.2598991320001005 |
|
} |
|
} |
|
}, |
|
"_update_policy": { |
|
"total": 551.9817484130081, |
|
"count": 500, |
|
"self": 320.7032374350101, |
|
"children": { |
|
"TorchPPOOptimizer.update": { |
|
"total": 231.27851097799794, |
|
"count": 25053, |
|
"self": 231.27851097799794 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_threads": { |
|
"total": 1.3599992598756216e-06, |
|
"count": 1, |
|
"self": 1.3599992598756216e-06 |
|
} |
|
} |
|
} |
|
} |
|
} |