|
{
|
|
"name": "root",
|
|
"gauges": {
|
|
"Agent.Policy.Entropy.mean": {
|
|
"value": 1.4463152885437012,
|
|
"min": 1.4189385175704956,
|
|
"max": 1.4479687213897705,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.Entropy.sum": {
|
|
"value": 8673.552734375,
|
|
"min": 7072.3095703125,
|
|
"max": 9864.9677734375,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.TreeDropCount.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.TreeDropCount.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.RechargeEnergyCount.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 462.2,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.RechargeEnergyCount.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 6933.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.SaveLocationCount.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.SaveLocationCount.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.OutofEnergyCount.mean": {
|
|
"value": 0.7333333333333333,
|
|
"min": 0.4444444444444444,
|
|
"max": 0.8,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.OutofEnergyCount.sum": {
|
|
"value": 11.0,
|
|
"min": 7.0,
|
|
"max": 15.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeDistanceUntilTreeDrop.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeDistanceUntilTreeDrop.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeTreeDropReward.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeTreeDropReward.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeDistanceReward.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeDistanceReward.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeNormalizedDistanceUntilTreeDrop.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeNormalizedDistanceUntilTreeDrop.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeDistancetoExistingTrees.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.DroneBasedReforestation.CumulativeDistancetoExistingTrees.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.LessonNumber.difficulty.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.LessonNumber.difficulty.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.LessonNumber.task.mean": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.LessonNumber.task.sum": {
|
|
"value": 0.0,
|
|
"min": 0.0,
|
|
"max": 0.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.EpisodeLength.mean": {
|
|
"value": 399.0,
|
|
"min": 274.5,
|
|
"max": 399.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.EpisodeLength.sum": {
|
|
"value": 5985.0,
|
|
"min": 4848.0,
|
|
"max": 6846.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Step.mean": {
|
|
"value": 1199819.0,
|
|
"min": 5600.0,
|
|
"max": 1199819.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Step.sum": {
|
|
"value": 1199819.0,
|
|
"min": 5600.0,
|
|
"max": 1199819.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.CuriosityValueEstimate.mean": {
|
|
"value": 0.34689897298812866,
|
|
"min": 0.02932063676416874,
|
|
"max": 0.8737215399742126,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.CuriosityValueEstimate.sum": {
|
|
"value": 5.203484535217285,
|
|
"min": 0.43980956077575684,
|
|
"max": 15.729066848754883,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.ExtrinsicValueEstimate.mean": {
|
|
"value": 1.8011205196380615,
|
|
"min": -0.3524715304374695,
|
|
"max": 3.347745895385742,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.ExtrinsicValueEstimate.sum": {
|
|
"value": 27.016807556152344,
|
|
"min": -5.287073135375977,
|
|
"max": 68.86609649658203,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.CumulativeReward.mean": {
|
|
"value": -0.9993333220481873,
|
|
"min": -1.0643999735514322,
|
|
"max": 35.919453172895466,
|
|
"count": 200
|
|
},
|
|
"Agent.Environment.CumulativeReward.sum": {
|
|
"value": -14.989999830722809,
|
|
"min": -15.965999603271484,
|
|
"max": 682.4696102850139,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.CuriosityReward.mean": {
|
|
"value": 1.3417628367741903,
|
|
"min": 0.0,
|
|
"max": 14.21229863166809,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.CuriosityReward.sum": {
|
|
"value": 20.126442551612854,
|
|
"min": 0.0,
|
|
"max": 255.82137537002563,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.ExtrinsicReward.mean": {
|
|
"value": -0.8994001944859823,
|
|
"min": -0.9579601605733236,
|
|
"max": 32.327498159910505,
|
|
"count": 200
|
|
},
|
|
"Agent.Policy.ExtrinsicReward.sum": {
|
|
"value": -13.491002917289734,
|
|
"min": -14.369402408599854,
|
|
"max": 614.2224650382996,
|
|
"count": 200
|
|
},
|
|
"Agent.IsTraining.mean": {
|
|
"value": 1.0,
|
|
"min": 1.0,
|
|
"max": 1.0,
|
|
"count": 200
|
|
},
|
|
"Agent.IsTraining.sum": {
|
|
"value": 1.0,
|
|
"min": 1.0,
|
|
"max": 1.0,
|
|
"count": 200
|
|
},
|
|
"Agent.Losses.PolicyLoss.mean": {
|
|
"value": 0.022669024726686377,
|
|
"min": 0.013026293425355107,
|
|
"max": 0.03178188911880608,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.PolicyLoss.sum": {
|
|
"value": 0.022669024726686377,
|
|
"min": 0.013026293425355107,
|
|
"max": 0.03178188911880608,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.ValueLoss.mean": {
|
|
"value": 3.5511340548594794,
|
|
"min": 0.008235362765844911,
|
|
"max": 25.10134780406952,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.ValueLoss.sum": {
|
|
"value": 3.5511340548594794,
|
|
"min": 0.008235362765844911,
|
|
"max": 25.10134780406952,
|
|
"count": 139
|
|
},
|
|
"Agent.Policy.LearningRate.mean": {
|
|
"value": 1.445349518250009e-06,
|
|
"min": 1.445349518250009e-06,
|
|
"max": 0.0002979000007,
|
|
"count": 139
|
|
},
|
|
"Agent.Policy.LearningRate.sum": {
|
|
"value": 1.445349518250009e-06,
|
|
"min": 1.445349518250009e-06,
|
|
"max": 0.0002979000007,
|
|
"count": 139
|
|
},
|
|
"Agent.Policy.Epsilon.mean": {
|
|
"value": 0.10048175,
|
|
"min": 0.10048175,
|
|
"max": 0.1993,
|
|
"count": 139
|
|
},
|
|
"Agent.Policy.Epsilon.sum": {
|
|
"value": 0.10048175,
|
|
"min": 0.10048175,
|
|
"max": 0.1993,
|
|
"count": 139
|
|
},
|
|
"Agent.Policy.Beta.mean": {
|
|
"value": 3.4039325000000155e-05,
|
|
"min": 3.4039325000000155e-05,
|
|
"max": 0.00496507,
|
|
"count": 139
|
|
},
|
|
"Agent.Policy.Beta.sum": {
|
|
"value": 3.4039325000000155e-05,
|
|
"min": 3.4039325000000155e-05,
|
|
"max": 0.00496507,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.CuriosityForwardLoss.mean": {
|
|
"value": 0.033674297078202166,
|
|
"min": 0.02389123321821292,
|
|
"max": 0.5835290277997652,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.CuriosityForwardLoss.sum": {
|
|
"value": 0.033674297078202166,
|
|
"min": 0.02389123321821292,
|
|
"max": 0.5835290277997652,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.CuriosityInverseLoss.mean": {
|
|
"value": 1.868491604924202,
|
|
"min": 1.868491604924202,
|
|
"max": 3.310828596353531,
|
|
"count": 139
|
|
},
|
|
"Agent.Losses.CuriosityInverseLoss.sum": {
|
|
"value": 1.868491604924202,
|
|
"min": 1.868491604924202,
|
|
"max": 3.310828596353531,
|
|
"count": 139
|
|
}
|
|
},
|
|
"metadata": {
|
|
"timer_format_version": "0.1.0",
|
|
"start_time_seconds": "1717669325",
|
|
"python_version": "3.9.18 (main, Sep 11 2023, 14:09:26) [MSC v.1916 64 bit (AMD64)]",
|
|
"command_line_arguments": "C:\\Users\\pdsie\\anaconda3\\envs\\mlagents20\\Scripts\\mlagents-learn c:/users/pdsie/documents/hivex/src/hivex/training/baseline/ml_agents/configs/mlagents/tmp/train/DroneBasedReforestation_difficulty_6_task_2_run_id_2_train.yaml --run-id=DroneBasedReforestation/train/DroneBasedReforestation_difficulty_6_task_2_run_id_2_train --base-port 5007",
|
|
"mlagents_version": "0.30.0",
|
|
"mlagents_envs_version": "0.30.0",
|
|
"communication_protocol_version": "1.5.0",
|
|
"pytorch_version": "1.7.1+cu110",
|
|
"numpy_version": "1.21.0",
|
|
"end_time_seconds": "1717672864"
|
|
},
|
|
"total": 3539.4797533,
|
|
"count": 1,
|
|
"self": 0.29024889999982406,
|
|
"children": {
|
|
"run_training.setup": {
|
|
"total": 0.051982900000000054,
|
|
"count": 1,
|
|
"self": 0.051982900000000054
|
|
},
|
|
"TrainerController.start_learning": {
|
|
"total": 3539.1375215000003,
|
|
"count": 1,
|
|
"self": 4.976700700071433,
|
|
"children": {
|
|
"TrainerController._reset_env": {
|
|
"total": 2.1270046,
|
|
"count": 1,
|
|
"self": 2.1270046
|
|
},
|
|
"TrainerController.advance": {
|
|
"total": 3531.851796899929,
|
|
"count": 400955,
|
|
"self": 4.4582513999953335,
|
|
"children": {
|
|
"env_step": {
|
|
"total": 3527.3935454999337,
|
|
"count": 400955,
|
|
"self": 1509.251693499699,
|
|
"children": {
|
|
"SubprocessEnvManager._take_step": {
|
|
"total": 2015.0025552000725,
|
|
"count": 400955,
|
|
"self": 10.185859199982815,
|
|
"children": {
|
|
"TorchPolicy.evaluate": {
|
|
"total": 2004.8166960000897,
|
|
"count": 400081,
|
|
"self": 2004.8166960000897
|
|
}
|
|
}
|
|
},
|
|
"workers": {
|
|
"total": 3.13929680016222,
|
|
"count": 400955,
|
|
"self": 0.0,
|
|
"children": {
|
|
"worker_root": {
|
|
"total": 3532.3348909999586,
|
|
"count": 400955,
|
|
"is_parallel": true,
|
|
"self": 2204.4567622000704,
|
|
"children": {
|
|
"steps_from_proto": {
|
|
"total": 0.006336499999999967,
|
|
"count": 1,
|
|
"is_parallel": true,
|
|
"self": 0.00010479999999990497,
|
|
"children": {
|
|
"_process_maybe_compressed_observation": {
|
|
"total": 0.006181800000000015,
|
|
"count": 2,
|
|
"is_parallel": true,
|
|
"self": 3.0100000000032878e-05,
|
|
"children": {
|
|
"_observation_to_np_array": {
|
|
"total": 0.006151699999999982,
|
|
"count": 3,
|
|
"is_parallel": true,
|
|
"self": 3.0799999999997496e-05,
|
|
"children": {
|
|
"process_pixels": {
|
|
"total": 0.006120899999999985,
|
|
"count": 3,
|
|
"is_parallel": true,
|
|
"self": 0.0002449999999998287,
|
|
"children": {
|
|
"image_decompress": {
|
|
"total": 0.005875900000000156,
|
|
"count": 3,
|
|
"is_parallel": true,
|
|
"self": 0.005875900000000156
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"_process_rank_one_or_two_observation": {
|
|
"total": 4.990000000004713e-05,
|
|
"count": 2,
|
|
"is_parallel": true,
|
|
"self": 4.990000000004713e-05
|
|
}
|
|
}
|
|
},
|
|
"UnityEnvironment.step": {
|
|
"total": 1327.8717922998883,
|
|
"count": 400955,
|
|
"is_parallel": true,
|
|
"self": 16.518458800014287,
|
|
"children": {
|
|
"UnityEnvironment._generate_step_input": {
|
|
"total": 18.660812100047366,
|
|
"count": 400955,
|
|
"is_parallel": true,
|
|
"self": 18.660812100047366
|
|
},
|
|
"communicator.exchange": {
|
|
"total": 1155.5700239000075,
|
|
"count": 400955,
|
|
"is_parallel": true,
|
|
"self": 1155.5700239000075
|
|
},
|
|
"steps_from_proto": {
|
|
"total": 137.12249749981908,
|
|
"count": 400955,
|
|
"is_parallel": true,
|
|
"self": 27.098803899861537,
|
|
"children": {
|
|
"_process_maybe_compressed_observation": {
|
|
"total": 98.5660356000422,
|
|
"count": 801910,
|
|
"is_parallel": true,
|
|
"self": 7.585595399973585,
|
|
"children": {
|
|
"_observation_to_np_array": {
|
|
"total": 90.98044020006861,
|
|
"count": 1203531,
|
|
"is_parallel": true,
|
|
"self": 7.778337200083115,
|
|
"children": {
|
|
"process_pixels": {
|
|
"total": 83.2021029999855,
|
|
"count": 1203531,
|
|
"is_parallel": true,
|
|
"self": 38.80131609994568,
|
|
"children": {
|
|
"image_decompress": {
|
|
"total": 44.40078690003982,
|
|
"count": 1203531,
|
|
"is_parallel": true,
|
|
"self": 44.40078690003982
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"_process_rank_one_or_two_observation": {
|
|
"total": 11.457657999915348,
|
|
"count": 801910,
|
|
"is_parallel": true,
|
|
"self": 11.457657999915348
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"trainer_threads": {
|
|
"total": 3.879999985656468e-05,
|
|
"count": 1,
|
|
"self": 3.879999985656468e-05,
|
|
"children": {
|
|
"thread_root": {
|
|
"total": 0.0,
|
|
"count": 0,
|
|
"is_parallel": true,
|
|
"self": 0.0,
|
|
"children": {
|
|
"trainer_advance": {
|
|
"total": 3534.7878181000456,
|
|
"count": 169572,
|
|
"is_parallel": true,
|
|
"self": 5.769972800014784,
|
|
"children": {
|
|
"process_trajectory": {
|
|
"total": 2772.4818951000284,
|
|
"count": 169572,
|
|
"is_parallel": true,
|
|
"self": 2772.063089000028,
|
|
"children": {
|
|
"RLTrainer._checkpoint": {
|
|
"total": 0.41880610000043816,
|
|
"count": 2,
|
|
"is_parallel": true,
|
|
"self": 0.41880610000043816
|
|
}
|
|
}
|
|
},
|
|
"_update_policy": {
|
|
"total": 756.5359502000024,
|
|
"count": 139,
|
|
"is_parallel": true,
|
|
"self": 501.0794779000003,
|
|
"children": {
|
|
"TorchPPOOptimizer.update": {
|
|
"total": 255.45647230000208,
|
|
"count": 3360,
|
|
"is_parallel": true,
|
|
"self": 255.45647230000208
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
},
|
|
"TrainerController._save_models": {
|
|
"total": 0.18198050000000876,
|
|
"count": 1,
|
|
"self": 0.005993599999783328,
|
|
"children": {
|
|
"RLTrainer._checkpoint": {
|
|
"total": 0.17598690000022543,
|
|
"count": 1,
|
|
"self": 0.17598690000022543
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
} |