{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.4027997553348541, "min": 0.4027997553348541, "max": 1.4343562126159668, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 12019.544921875, "min": 12019.544921875, "max": 43512.62890625, "count": 33 }, "Pyramids.Step.mean": { "value": 989873.0, "min": 29952.0, "max": 989873.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989873.0, "min": 29952.0, "max": 989873.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.536551833152771, "min": -0.11401091516017914, "max": 0.6212583780288696, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 149.16140747070312, "min": -27.47663116455078, "max": 174.5736083984375, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.014315195381641388, "min": -0.00030912665533833206, "max": 0.3096245229244232, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 3.9796242713928223, "min": -0.08470070362091064, "max": 74.6195068359375, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06890531469188216, "min": 0.0640647734949553, "max": 0.07341675332468116, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 1.0335797203782324, "min": 0.5139172732727681, "max": 1.0371465390096146, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.015860375400128152, "min": 0.0009943202910716266, "max": 0.017657518174798627, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.2379056310019223, "min": 0.013920484075002773, "max": 0.2472052544471808, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.442617519160001e-06, "min": 7.442617519160001e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00011163926278740001, "min": 0.00011163926278740001, "max": 0.0035081954306015995, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10248084, "min": 0.10248084, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.5372126000000002, "min": 1.3886848, "max": 2.5693984, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.000257835916, "min": 0.000257835916, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0038675387400000003, "min": 0.0038675387400000003, "max": 0.11696290016, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.009087380953133106, "min": 0.009087380953133106, "max": 0.3771204650402069, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.13631071150302887, "min": 0.13631071150302887, "max": 2.639843225479126, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 341.14772727272725, "min": 320.22340425531917, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30021.0, "min": 15984.0, "max": 33087.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.5474516658970479, "min": -1.0000000521540642, "max": 1.5988329475397591, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 137.72319826483727, "min": -30.475601695477962, "max": 152.919798001647, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.5474516658970479, "min": -1.0000000521540642, "max": 1.5988329475397591, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 137.72319826483727, "min": -30.475601695477962, "max": 152.919798001647, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.03307639237383238, "min": 0.03307639237383238, "max": 7.429623998701572, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.943798921271082, "min": 2.943798921271082, "max": 118.87398397922516, "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": "1738574995", "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": "2.6.0+cu124", "numpy_version": "1.23.5", "end_time_seconds": "1738577308" }, "total": 2313.0557430199997, "count": 1, "self": 0.4764227659993594, "children": { "run_training.setup": { "total": 0.01983663200007868, "count": 1, "self": 0.01983663200007868 }, "TrainerController.start_learning": { "total": 2312.5594836220002, "count": 1, "self": 1.354617482017602, "children": { "TrainerController._reset_env": { "total": 2.105676241999845, "count": 1, "self": 2.105676241999845 }, "TrainerController.advance": { "total": 2309.0069774789827, "count": 63889, "self": 1.3784180908928647, "children": { "env_step": { "total": 1607.7396915389504, "count": 63889, "self": 1447.8375723189638, "children": { "SubprocessEnvManager._take_step": { "total": 159.10443604997954, "count": 63889, "self": 4.793551470850616, "children": { "TorchPolicy.evaluate": { "total": 154.31088457912892, "count": 62561, "self": 154.31088457912892 } } }, "workers": { "total": 0.7976831700070761, "count": 63889, "self": 0.0, "children": { "worker_root": { "total": 2307.04189735501, "count": 63889, "is_parallel": true, "self": 973.2597713390296, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0019966509998994297, "count": 1, "is_parallel": true, "self": 0.0006754909991286695, "children": { "_process_rank_one_or_two_observation": { "total": 0.0013211600007707602, "count": 8, "is_parallel": true, "self": 0.0013211600007707602 } } }, "UnityEnvironment.step": { "total": 0.05157556700032728, "count": 1, "is_parallel": true, "self": 0.0005359140004657093, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0006352049999804876, "count": 1, "is_parallel": true, "self": 0.0006352049999804876 }, "communicator.exchange": { "total": 0.04630184899997403, "count": 1, "is_parallel": true, "self": 0.04630184899997403 }, "steps_from_proto": { "total": 0.004102598999907059, "count": 1, "is_parallel": true, "self": 0.0004629080012819031, "children": { "_process_rank_one_or_two_observation": { "total": 0.0036396909986251558, "count": 8, "is_parallel": true, "self": 0.0036396909986251558 } } } } } } }, "UnityEnvironment.step": { "total": 1333.7821260159803, "count": 63888, "is_parallel": true, "self": 31.616955611805224, "children": { "UnityEnvironment._generate_step_input": { "total": 23.307319588102928, "count": 63888, "is_parallel": true, "self": 23.307319588102928 }, "communicator.exchange": { "total": 1182.144339918063, "count": 63888, "is_parallel": true, "self": 1182.144339918063 }, "steps_from_proto": { "total": 96.71351089800919, "count": 63888, "is_parallel": true, "self": 19.390343191490956, "children": { "_process_rank_one_or_two_observation": { "total": 77.32316770651823, "count": 511104, "is_parallel": true, "self": 77.32316770651823 } } } } } } } } } } }, "trainer_advance": { "total": 699.8888678491394, "count": 63889, "self": 2.7116423762945487, "children": { "process_trajectory": { "total": 133.36949172484492, "count": 63889, "self": 133.15142243184437, "children": { "RLTrainer._checkpoint": { "total": 0.21806929300055344, "count": 2, "self": 0.21806929300055344 } } }, "_update_policy": { "total": 563.8077337479999, "count": 454, "self": 308.0816017970037, "children": { "TorchPPOOptimizer.update": { "total": 255.7261319509962, "count": 22800, "self": 255.7261319509962 } } } } } } }, "trainer_threads": { "total": 7.750004442641512e-07, "count": 1, "self": 7.750004442641512e-07 }, "TrainerController._save_models": { "total": 0.09221164399968984, "count": 1, "self": 0.0013181749991417746, "children": { "RLTrainer._checkpoint": { "total": 0.09089346900054807, "count": 1, "self": 0.09089346900054807 } } } } } } }