{ "name": "root", "gauges": { "Agent.Policy.Entropy.mean": { "value": 1.4086930751800537, "min": 1.4086912870407104, "max": 1.433518886566162, "count": 200 }, "Agent.Policy.Entropy.sum": { "value": 8456.384765625, "min": 8446.53125, "max": 8614.0146484375, "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": 0.6, "min": 0.6, "max": 0.7333333333333333, "count": 200 }, "Agent.DroneBasedReforestation.OutofEnergyCount.sum": { "value": 9.0, "min": 9.0, "max": 11.0, "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.DroneBasedReforestation.HighestPotentialSoildFound.mean": { "value": 0.9618276000022888, "min": 0.48017503321170807, "max": 0.9998843272527059, "count": 200 }, "Agent.DroneBasedReforestation.HighestPotentialSoildFound.sum": { "value": 14.427414000034332, "min": 7.202625498175621, "max": 14.998264908790588, "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": 399.0, "max": 399.0, "count": 200 }, "Agent.Environment.EpisodeLength.sum": { "value": 5985.0, "min": 5985.0, "max": 5985.0, "count": 200 }, "Agent.Step.mean": { "value": 1199600.0, "min": 5600.0, "max": 1199600.0, "count": 200 }, "Agent.Step.sum": { "value": 1199600.0, "min": 5600.0, "max": 1199600.0, "count": 200 }, "Agent.Policy.CuriosityValueEstimate.mean": { "value": 0.32411444187164307, "min": 0.03920711949467659, "max": 0.9948946833610535, "count": 200 }, "Agent.Policy.CuriosityValueEstimate.sum": { "value": 4.8617167472839355, "min": 0.5513672232627869, "max": 14.923419952392578, "count": 200 }, "Agent.Policy.ExtrinsicValueEstimate.mean": { "value": -0.10636601597070694, "min": -0.16825427114963531, "max": 0.07217133045196533, "count": 200 }, "Agent.Policy.ExtrinsicValueEstimate.sum": { "value": -1.5954902172088623, "min": -2.5238139629364014, "max": 1.0103986263275146, "count": 200 }, "Agent.Environment.CumulativeReward.mean": { "value": -0.03799410065015157, "min": -0.5278713981310527, "max": 3.8959582646687825e-05, "count": 200 }, "Agent.Environment.CumulativeReward.sum": { "value": -0.5699115097522736, "min": -7.91807097196579, "max": 0.0005843937397003174, "count": 200 }, "Agent.Policy.CuriosityReward.mean": { "value": 1.230601461728414, "min": 0.0, "max": 15.463980070749919, "count": 200 }, "Agent.Policy.CuriosityReward.sum": { "value": 18.45902192592621, "min": 0.0, "max": 231.95970106124878, "count": 200 }, "Agent.Policy.ExtrinsicReward.mean": { "value": -0.034194865822792055, "min": -0.47508443892002106, "max": 3.48508358001709e-05, "count": 200 }, "Agent.Policy.ExtrinsicReward.sum": { "value": -0.5129229873418808, "min": -7.126266583800316, "max": 0.0005227625370025635, "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": 0.021392311823243897, "min": 0.01472885365365073, "max": 0.038161986391060054, "count": 142 }, "Agent.Losses.PolicyLoss.sum": { "value": 0.021392311823243897, "min": 0.01472885365365073, "max": 0.038161986391060054, "count": 142 }, "Agent.Losses.ValueLoss.mean": { "value": 0.0037409407765759775, "min": 0.002726633509155363, "max": 0.05612321054407706, "count": 142 }, "Agent.Losses.ValueLoss.sum": { "value": 0.0037409407765759775, "min": 0.002726633509155363, "max": 0.05612321054407706, "count": 142 }, "Agent.Policy.LearningRate.mean": { "value": 1.8000994000000013e-06, "min": 1.8000994000000013e-06, "max": 0.0002979000007, "count": 142 }, "Agent.Policy.LearningRate.sum": { "value": 1.8000994000000013e-06, "min": 1.8000994000000013e-06, "max": 0.0002979000007, "count": 142 }, "Agent.Policy.Epsilon.mean": { "value": 0.10060000000000001, "min": 0.10060000000000001, "max": 0.1993, "count": 142 }, "Agent.Policy.Epsilon.sum": { "value": 0.10060000000000001, "min": 0.10060000000000001, "max": 0.1993, "count": 142 }, "Agent.Policy.Beta.mean": { "value": 3.994000000000003e-05, "min": 3.994000000000003e-05, "max": 0.00496507, "count": 142 }, "Agent.Policy.Beta.sum": { "value": 3.994000000000003e-05, "min": 3.994000000000003e-05, "max": 0.00496507, "count": 142 }, "Agent.Losses.CuriosityForwardLoss.mean": { "value": 0.030858527403324842, "min": 0.028859092000251014, "max": 0.5812804649273554, "count": 142 }, "Agent.Losses.CuriosityForwardLoss.sum": { "value": 0.030858527403324842, "min": 0.028859092000251014, "max": 0.5812804649273554, "count": 142 }, "Agent.Losses.CuriosityInverseLoss.mean": { "value": 1.9941542496283848, "min": 1.9217681537071865, "max": 3.2931356926759086, "count": 142 }, "Agent.Losses.CuriosityInverseLoss.sum": { "value": 1.9941542496283848, "min": 1.9217681537071865, "max": 3.2931356926759086, "count": 142 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1717429429", "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_10_task_4_run_id_1_train.yaml --run-id=DroneBasedReforestation/train/DroneBasedReforestation_difficulty_10_task_4_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": "1717433596" }, "total": 4167.275568, "count": 1, "self": 0.327493300000242, "children": { "run_training.setup": { "total": 0.05224629999999997, "count": 1, "self": 0.05224629999999997 }, "TrainerController.start_learning": { "total": 4166.8958284, "count": 1, "self": 7.24713339995651, "children": { "TrainerController._reset_env": { "total": 2.1260268, "count": 1, "self": 2.1260268 }, "TrainerController.advance": { "total": 4157.284727700044, "count": 400401, "self": 6.669069699833017, "children": { "env_step": { "total": 4150.615658000211, "count": 400401, "self": 1851.1382012999761, "children": { "SubprocessEnvManager._take_step": { "total": 2294.717169300046, "count": 400401, "self": 13.128045099952942, "children": { "TorchPolicy.evaluate": { "total": 2281.589124200093, "count": 400401, "self": 2281.589124200093 } } }, "workers": { "total": 4.760287400188447, "count": 400401, "self": 0.0, "children": { "worker_root": { "total": 4156.9993214999195, "count": 400401, "is_parallel": true, "self": 2569.6447652999996, "children": { "steps_from_proto": { "total": 0.006208900000000073, "count": 1, "is_parallel": true, "self": 0.00010149999999997661, "children": { "_process_maybe_compressed_observation": { "total": 0.006063400000000163, "count": 2, "is_parallel": true, "self": 3.030000000014965e-05, "children": { "_observation_to_np_array": { "total": 0.0060331000000000135, "count": 3, "is_parallel": true, "self": 2.8200000000033754e-05, "children": { "process_pixels": { "total": 0.00600489999999998, "count": 3, "is_parallel": true, "self": 0.00022749999999982506, "children": { "image_decompress": { "total": 0.005777400000000155, "count": 3, "is_parallel": true, "self": 0.005777400000000155 } } } } } } }, "_process_rank_one_or_two_observation": { "total": 4.399999999993298e-05, "count": 2, "is_parallel": true, "self": 4.399999999993298e-05 } } }, "UnityEnvironment.step": { "total": 1587.3483472999196, "count": 400401, "is_parallel": true, "self": 23.33534189989291, "children": { "UnityEnvironment._generate_step_input": { "total": 24.561899600026, "count": 400401, "is_parallel": true, "self": 24.561899600026 }, "communicator.exchange": { "total": 1351.0854909999848, "count": 400401, "is_parallel": true, "self": 1351.0854909999848 }, "steps_from_proto": { "total": 188.36561480001598, "count": 400401, "is_parallel": true, "self": 38.350010799854715, "children": { "_process_maybe_compressed_observation": { "total": 133.661563200061, "count": 800802, "is_parallel": true, "self": 10.331975400028227, "children": { "_observation_to_np_array": { "total": 123.32958780003278, "count": 1204206, "is_parallel": true, "self": 10.527571500313982, "children": { "process_pixels": { "total": 112.8020162997188, "count": 1204206, "is_parallel": true, "self": 53.11933219946198, "children": { "image_decompress": { "total": 59.68268410025682, "count": 1204206, "is_parallel": true, "self": 59.68268410025682 } } } } } } }, "_process_rank_one_or_two_observation": { "total": 16.354040800100265, "count": 800802, "is_parallel": true, "self": 16.354040800100265 } } } } } } } } } } } } }, "trainer_threads": { "total": 3.130000004603062e-05, "count": 1, "self": 3.130000004603062e-05, "children": { "thread_root": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "trainer_advance": { "total": 4162.517525400005, "count": 199955, "is_parallel": true, "self": 6.047164800019345, "children": { "process_trajectory": { "total": 3284.9758618999863, "count": 199955, "is_parallel": true, "self": 3284.4441206999863, "children": { "RLTrainer._checkpoint": { "total": 0.5317412000001696, "count": 2, "is_parallel": true, "self": 0.5317412000001696 } } }, "_update_policy": { "total": 871.4944986999997, "count": 142, "is_parallel": true, "self": 582.9168409999983, "children": { "TorchPPOOptimizer.update": { "total": 288.5776577000014, "count": 3408, "is_parallel": true, "self": 288.5776577000014 } } } } } } } } }, "TrainerController._save_models": { "total": 0.23790920000010374, "count": 1, "self": 0.011029500000404369, "children": { "RLTrainer._checkpoint": { "total": 0.22687969999969937, "count": 1, "self": 0.22687969999969937 } } } } } } }