{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.6608625650405884, "min": 0.6520163416862488, "max": 1.4733320474624634, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 19836.451171875, "min": 19435.302734375, "max": 44695.0, "count": 33 }, "Pyramids.Step.mean": { "value": 989996.0, "min": 29952.0, "max": 989996.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989996.0, "min": 29952.0, "max": 989996.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.0531952828168869, "min": -0.1175866425037384, "max": 0.09910526871681213, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 13.13923454284668, "min": -28.338380813598633, "max": 24.578105926513672, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": -0.0028643980622291565, "min": -0.014672333374619484, "max": 0.20042133331298828, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": -0.7075062990188599, "min": -3.6387386322021484, "max": 48.10111999511719, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06941136405464127, "min": 0.06301330679923657, "max": 0.0718804516339432, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9717590967649777, "min": 0.5024250880249739, "max": 1.0543235874541934, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.00750516156693709, "min": 0.00021090192975234916, "max": 0.008246933069215116, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.10507226193711926, "min": 0.002952627016532888, "max": 0.11545706296901162, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.279319002164286e-06, "min": 7.279319002164286e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010191046603030001, "min": 0.00010191046603030001, "max": 0.0035073002308999997, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10242640714285715, "min": 0.10242640714285715, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4339697000000002, "min": 1.3886848, "max": 2.5691, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.0002523980735714286, "min": 0.0002523980735714286, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0035335730300000002, "min": 0.0035335730300000002, "max": 0.11693309, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.013306832872331142, "min": 0.013306832872331142, "max": 0.426264226436615, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.18629565834999084, "min": 0.18629565834999084, "max": 2.98384952545166, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 798.6756756756756, "min": 769.8780487804878, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29551.0, "min": 15984.0, "max": 33183.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 0.22809185369594678, "min": -1.0000000521540642, "max": 0.3604423859805772, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 8.43939858675003, "min": -31.996801674365997, "max": 12.423798389732838, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 0.22809185369594678, "min": -1.0000000521540642, "max": 0.3604423859805772, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 8.43939858675003, "min": -31.996801674365997, "max": 12.423798389732838, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.1103283313128191, "min": 0.10874850682519151, "max": 8.698082627728581, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 4.082148258574307, "min": 3.5887007252313197, "max": 139.1693220436573, "count": 33 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 33 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 33 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1751285979", "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", "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": "1.2.0.dev0", "mlagents_envs_version": "1.2.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.7.1+cu126", "numpy_version": "1.23.5", "end_time_seconds": "1751287943" }, "total": 1964.0221399559996, "count": 1, "self": 0.47537400299916044, "children": { "run_training.setup": { "total": 0.019126350000078673, "count": 1, "self": 0.019126350000078673 }, "TrainerController.start_learning": { "total": 1963.5276396030004, "count": 1, "self": 1.1122876189633644, "children": { "TrainerController._reset_env": { "total": 2.2631129450001026, "count": 1, "self": 2.2631129450001026 }, "TrainerController.advance": { "total": 1960.070935314037, "count": 63222, "self": 1.2638017998910982, "children": { "env_step": { "total": 1325.4295653401864, "count": 63222, "self": 1190.1567859761526, "children": { "SubprocessEnvManager._take_step": { "total": 134.57986645296933, "count": 63222, "self": 4.169371226069416, "children": { "TorchPolicy.evaluate": { "total": 130.4104952268999, "count": 62551, "self": 130.4104952268999 } } }, "workers": { "total": 0.6929129110644681, "count": 63222, "self": 0.0, "children": { "worker_root": { "total": 1959.5511119101275, "count": 63222, "is_parallel": true, "self": 870.4864729770602, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0017380379999849538, "count": 1, "is_parallel": true, "self": 0.0005477299996528018, "children": { "_process_rank_one_or_two_observation": { "total": 0.001190308000332152, "count": 8, "is_parallel": true, "self": 0.001190308000332152 } } }, "UnityEnvironment.step": { "total": 0.04583969699979207, "count": 1, "is_parallel": true, "self": 0.0005045850002716179, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0004284110000298824, "count": 1, "is_parallel": true, "self": 0.0004284110000298824 }, "communicator.exchange": { "total": 0.04338716799975373, "count": 1, "is_parallel": true, "self": 0.04338716799975373 }, "steps_from_proto": { "total": 0.001519532999736839, "count": 1, "is_parallel": true, "self": 0.0003227639999749954, "children": { "_process_rank_one_or_two_observation": { "total": 0.0011967689997618436, "count": 8, "is_parallel": true, "self": 0.0011967689997618436 } } } } } } }, "UnityEnvironment.step": { "total": 1089.0646389330673, "count": 63221, "is_parallel": true, "self": 30.103232349101745, "children": { "UnityEnvironment._generate_step_input": { "total": 21.379260087759576, "count": 63221, "is_parallel": true, "self": 21.379260087759576 }, "communicator.exchange": { "total": 949.0628082010676, "count": 63221, "is_parallel": true, "self": 949.0628082010676 }, "steps_from_proto": { "total": 88.51933829513837, "count": 63221, "is_parallel": true, "self": 17.000668136752665, "children": { "_process_rank_one_or_two_observation": { "total": 71.5186701583857, "count": 505768, "is_parallel": true, "self": 71.5186701583857 } } } } } } } } } } }, "trainer_advance": { "total": 633.3775681739594, "count": 63222, "self": 2.1893480729108887, "children": { "process_trajectory": { "total": 116.54729446803958, "count": 63222, "self": 116.31176654503906, "children": { "RLTrainer._checkpoint": { "total": 0.23552792300051806, "count": 2, "self": 0.23552792300051806 } } }, "_update_policy": { "total": 514.6409256330089, "count": 447, "self": 287.1395376509572, "children": { "TorchPPOOptimizer.update": { "total": 227.5013879820517, "count": 22815, "self": 227.5013879820517 } } } } } } }, "trainer_threads": { "total": 9.69999746303074e-07, "count": 1, "self": 9.69999746303074e-07 }, "TrainerController._save_models": { "total": 0.08130275500025164, "count": 1, "self": 0.001134723001086968, "children": { "RLTrainer._checkpoint": { "total": 0.08016803199916467, "count": 1, "self": 0.08016803199916467 } } } } } } }