philippds's picture
Upload 12 files
7cb4100 verified
{
"name": "root",
"gauges": {
"Agent.Policy.Entropy.mean": {
"value": 1.3164377212524414,
"min": 1.3164377212524414,
"max": 1.421480417251587,
"count": 200
},
"Agent.Policy.Entropy.sum": {
"value": 7322.0263671875,
"min": 6547.970703125,
"max": 9814.1943359375,
"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": 0.0,
"count": 200
},
"Agent.DroneBasedReforestation.RechargeEnergyCount.sum": {
"value": 0.0,
"min": 0.0,
"max": 0.0,
"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": 0.0,
"min": 0.0,
"max": 0.3888888888888889,
"count": 200
},
"Agent.DroneBasedReforestation.OutofEnergyCount.sum": {
"value": 0.0,
"min": 0.0,
"max": 8.0,
"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": 22.468354430379748,
"min": 16.732142857142858,
"max": 315.5,
"count": 200
},
"Agent.Environment.EpisodeLength.sum": {
"value": 5325.0,
"min": 4782.0,
"max": 6870.0,
"count": 200
},
"Agent.Step.mean": {
"value": 1199982.0,
"min": 5913.0,
"max": 1199982.0,
"count": 200
},
"Agent.Step.sum": {
"value": 1199982.0,
"min": 5913.0,
"max": 1199982.0,
"count": 200
},
"Agent.Policy.CuriosityValueEstimate.mean": {
"value": 0.5474938154220581,
"min": -0.0018291461747139692,
"max": 1.1426669359207153,
"count": 200
},
"Agent.Policy.CuriosityValueEstimate.sum": {
"value": 130.30352783203125,
"min": -0.051216091960668564,
"max": 186.3372802734375,
"count": 200
},
"Agent.Policy.ExtrinsicValueEstimate.mean": {
"value": 74.87895202636719,
"min": 0.07052389532327652,
"max": 78.39349365234375,
"count": 200
},
"Agent.Policy.ExtrinsicValueEstimate.sum": {
"value": 17821.19140625,
"min": 1.7630974054336548,
"max": 24560.474609375,
"count": 200
},
"Agent.Environment.CumulativeReward.mean": {
"value": 99.51452046227368,
"min": 34.26204793453216,
"max": 101.58417513653274,
"count": 200
},
"Agent.Environment.CumulativeReward.sum": {
"value": 23684.455870021135,
"min": 685.2409586906433,
"max": 33585.501503704116,
"count": 200
},
"Agent.Policy.CuriosityReward.mean": {
"value": 0.05122798793174389,
"min": 0.0,
"max": 6.636294385365077,
"count": 200
},
"Agent.Policy.CuriosityReward.sum": {
"value": 12.192261127755046,
"min": 0.0,
"max": 232.2703034877777,
"count": 200
},
"Agent.Policy.ExtrinsicReward.mean": {
"value": 89.56306500599852,
"min": 30.835840687155724,
"max": 91.42575659843989,
"count": 200
},
"Agent.Policy.ExtrinsicReward.sum": {
"value": 21316.00947142765,
"min": 616.7168137431145,
"max": 30226.950809832662,
"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": 0.02866963527048938,
"min": 0.011586535780224949,
"max": 0.034941713054043554,
"count": 143
},
"Agent.Losses.PolicyLoss.sum": {
"value": 0.02866963527048938,
"min": 0.011586535780224949,
"max": 0.034941713054043554,
"count": 143
},
"Agent.Losses.ValueLoss.mean": {
"value": 1687.0132446289062,
"min": 183.07289123535156,
"max": 2255.8267720540366,
"count": 143
},
"Agent.Losses.ValueLoss.sum": {
"value": 1687.0132446289062,
"min": 183.07289123535156,
"max": 2255.8267720540366,
"count": 143
},
"Agent.Policy.LearningRate.mean": {
"value": 1.5534994824998456e-07,
"min": 1.5534994824998456e-07,
"max": 0.00029789475070175,
"count": 143
},
"Agent.Policy.LearningRate.sum": {
"value": 1.5534994824998456e-07,
"min": 1.5534994824998456e-07,
"max": 0.00029789475070175,
"count": 143
},
"Agent.Policy.Epsilon.mean": {
"value": 0.10005175,
"min": 0.10005175,
"max": 0.19929825,
"count": 143
},
"Agent.Policy.Epsilon.sum": {
"value": 0.10005175,
"min": 0.10005175,
"max": 0.19929825,
"count": 143
},
"Agent.Policy.Beta.mean": {
"value": 1.2582324999999746e-05,
"min": 1.2582324999999746e-05,
"max": 0.004964982675,
"count": 143
},
"Agent.Policy.Beta.sum": {
"value": 1.2582324999999746e-05,
"min": 1.2582324999999746e-05,
"max": 0.004964982675,
"count": 143
},
"Agent.Losses.CuriosityForwardLoss.mean": {
"value": 0.01934824783044557,
"min": 0.018395496997982264,
"max": 0.5723441590865453,
"count": 143
},
"Agent.Losses.CuriosityForwardLoss.sum": {
"value": 0.01934824783044557,
"min": 0.018395496997982264,
"max": 0.5723441590865453,
"count": 143
},
"Agent.Losses.CuriosityInverseLoss.mean": {
"value": 1.4088161836067836,
"min": 1.3410544445117314,
"max": 3.3059376577536264,
"count": 143
},
"Agent.Losses.CuriosityInverseLoss.sum": {
"value": 1.4088161836067836,
"min": 1.3410544445117314,
"max": 3.3059376577536264,
"count": 143
}
},
"metadata": {
"timer_format_version": "0.1.0",
"start_time_seconds": "1717271833",
"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_5_task_1_run_id_1_train.yaml --run-id=DroneBasedReforestation/train/DroneBasedReforestation_difficulty_5_task_1_run_id_1_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": "1717277868"
},
"total": 6035.4856656,
"count": 1,
"self": 2.8507244000002174,
"children": {
"run_training.setup": {
"total": 0.05341830000000003,
"count": 1,
"self": 0.05341830000000003
},
"TrainerController.start_learning": {
"total": 6032.5815229,
"count": 1,
"self": 7.077203899784763,
"children": {
"TrainerController._reset_env": {
"total": 2.0762253,
"count": 1,
"self": 2.0762253
},
"TrainerController.advance": {
"total": 6023.1840813002145,
"count": 410243,
"self": 6.567580500189251,
"children": {
"env_step": {
"total": 6016.616500800025,
"count": 410243,
"self": 3927.7041933992778,
"children": {
"SubprocessEnvManager._take_step": {
"total": 2084.2758931002063,
"count": 410243,
"self": 12.428260000201135,
"children": {
"TorchPolicy.evaluate": {
"total": 2071.847633100005,
"count": 400006,
"self": 2071.847633100005
}
}
},
"workers": {
"total": 4.636414300541063,
"count": 410243,
"self": 0.0,
"children": {
"worker_root": {
"total": 6023.434548100007,
"count": 410243,
"is_parallel": true,
"self": 2408.704942800127,
"children": {
"steps_from_proto": {
"total": 0.006434800000000074,
"count": 1,
"is_parallel": true,
"self": 0.0001010999999999651,
"children": {
"_process_maybe_compressed_observation": {
"total": 0.0062851000000001545,
"count": 2,
"is_parallel": true,
"self": 3.610000000020541e-05,
"children": {
"_observation_to_np_array": {
"total": 0.006248999999999949,
"count": 3,
"is_parallel": true,
"self": 3.0099999999810834e-05,
"children": {
"process_pixels": {
"total": 0.006218900000000138,
"count": 3,
"is_parallel": true,
"self": 0.00022199999999994446,
"children": {
"image_decompress": {
"total": 0.005996900000000194,
"count": 3,
"is_parallel": true,
"self": 0.005996900000000194
}
}
}
}
}
}
},
"_process_rank_one_or_two_observation": {
"total": 4.8599999999954235e-05,
"count": 2,
"is_parallel": true,
"self": 4.8599999999954235e-05
}
}
},
"UnityEnvironment.step": {
"total": 3614.7231704998803,
"count": 410243,
"is_parallel": true,
"self": 22.981989199767668,
"children": {
"UnityEnvironment._generate_step_input": {
"total": 20.360497800198104,
"count": 410243,
"is_parallel": true,
"self": 20.360497800198104
},
"communicator.exchange": {
"total": 3401.574064900005,
"count": 410243,
"is_parallel": true,
"self": 3401.574064900005
},
"steps_from_proto": {
"total": 169.80661859990983,
"count": 410243,
"is_parallel": true,
"self": 33.79929739998394,
"children": {
"_process_maybe_compressed_observation": {
"total": 121.5968709001893,
"count": 820486,
"is_parallel": true,
"self": 9.229879900073257,
"children": {
"_observation_to_np_array": {
"total": 112.36699100011604,
"count": 1238301,
"is_parallel": true,
"self": 8.973164300156057,
"children": {
"process_pixels": {
"total": 103.39382669995999,
"count": 1238301,
"is_parallel": true,
"self": 47.79314639975186,
"children": {
"image_decompress": {
"total": 55.600680300208126,
"count": 1238301,
"is_parallel": true,
"self": 55.600680300208126
}
}
}
}
}
}
},
"_process_rank_one_or_two_observation": {
"total": 14.410450299736581,
"count": 820486,
"is_parallel": true,
"self": 14.410450299736581
}
}
}
}
}
}
}
}
}
}
}
}
},
"trainer_threads": {
"total": 3.860000015265541e-05,
"count": 1,
"self": 3.860000015265541e-05,
"children": {
"thread_root": {
"total": 0.0,
"count": 0,
"is_parallel": true,
"self": 0.0,
"children": {
"trainer_advance": {
"total": 6027.221094799845,
"count": 304146,
"is_parallel": true,
"self": 8.592339199650269,
"children": {
"process_trajectory": {
"total": 5262.324987100195,
"count": 304146,
"is_parallel": true,
"self": 5261.856831100195,
"children": {
"RLTrainer._checkpoint": {
"total": 0.4681559999999081,
"count": 2,
"is_parallel": true,
"self": 0.4681559999999081
}
}
},
"_update_policy": {
"total": 756.3037684999993,
"count": 143,
"is_parallel": true,
"self": 512.1997175999783,
"children": {
"TorchPPOOptimizer.update": {
"total": 244.10405090002095,
"count": 3447,
"is_parallel": true,
"self": 244.10405090002095
}
}
}
}
}
}
}
}
},
"TrainerController._save_models": {
"total": 0.24397380000027624,
"count": 1,
"self": 0.012491400000726571,
"children": {
"RLTrainer._checkpoint": {
"total": 0.23148239999954967,
"count": 1,
"self": 0.23148239999954967
}
}
}
}
}
}
}