{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.8103523850440979, "min": 0.8103523850440979, "max": 1.481785535812378, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 24038.29296875, "min": 24038.29296875, "max": 44951.4453125, "count": 33 }, "Pyramids.Step.mean": { "value": 989962.0, "min": 29952.0, "max": 989962.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989962.0, "min": 29952.0, "max": 989962.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.08681991696357727, "min": -0.11447757482528687, "max": 0.1185968890786171, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 21.704978942871094, "min": -27.589096069335938, "max": 29.886415481567383, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.0291525200009346, "min": 0.009507951326668262, "max": 0.27285289764404297, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 7.288129806518555, "min": 2.3674798011779785, "max": 64.6661376953125, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06830410407589796, "min": 0.06484350233221403, "max": 0.07301550749250747, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 1.0245615611384693, "min": 0.5109379460908682, "max": 1.0245615611384693, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.007382124040422615, "min": 0.0001509703851398303, "max": 0.008754605951658395, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.11073186060633923, "min": 0.002113585391957624, "max": 0.12256448332321752, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.482557505846666e-06, "min": 7.482557505846666e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00011223836258769998, "min": 0.00011223836258769998, "max": 0.0033819026726991997, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10249415333333335, "min": 0.10249415333333335, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.5374123000000002, "min": 1.3886848, "max": 2.5273008000000003, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.0002591659180000001, "min": 0.0002591659180000001, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.003887488770000001, "min": 0.003887488770000001, "max": 0.11275734992000001, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.009230995550751686, "min": 0.009230995550751686, "max": 0.40759310126304626, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.13846492767333984, "min": 0.13191238045692444, "max": 2.853151798248291, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 755.3170731707318, "min": 748.125, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30968.0, "min": 15984.0, "max": 32568.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 0.41517069935798645, "min": -1.0000000521540642, "max": 0.46630240286268837, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 17.021998673677444, "min": -31.99480165541172, "max": 19.118398517370224, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 0.41517069935798645, "min": -1.0000000521540642, "max": 0.46630240286268837, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 17.021998673677444, "min": -31.99480165541172, "max": 19.118398517370224, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.0724311224667628, "min": 0.0724311224667628, "max": 8.176845656707883, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.969676021137275, "min": 2.910837574105244, "max": 130.82953050732613, "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": "1764200332", "python_version": "3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0]", "command_line_arguments": "/home/lion397@ad3.ucdavis.edu/miniforge3/envs/py310/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": "2.8.0+cu128", "numpy_version": "1.23.5", "end_time_seconds": "1764202539" }, "total": 2207.56190684624, "count": 1, "self": 0.4728108197450638, "children": { "run_training.setup": { "total": 0.02949627861380577, "count": 1, "self": 0.02949627861380577 }, "TrainerController.start_learning": { "total": 2207.0595997478813, "count": 1, "self": 1.7453499790281057, "children": { "TrainerController._reset_env": { "total": 2.7883310094475746, "count": 1, "self": 2.7883310094475746 }, "TrainerController.advance": { "total": 2202.395910134539, "count": 63211, "self": 1.7691988181322813, "children": { "env_step": { "total": 1095.1240665055811, "count": 63211, "self": 864.6430133320391, "children": { "SubprocessEnvManager._take_step": { "total": 229.4306788034737, "count": 63211, "self": 5.444724146276712, "children": { "TorchPolicy.evaluate": { "total": 223.985954657197, "count": 62551, "self": 223.985954657197 } } }, "workers": { "total": 1.0503743700683117, "count": 63211, "self": 0.0, "children": { "worker_root": { "total": 2204.6527202855796, "count": 63211, "is_parallel": true, "self": 1463.561967657879, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.001743663102388382, "count": 1, "is_parallel": true, "self": 0.0005436204373836517, "children": { "_process_rank_one_or_two_observation": { "total": 0.0012000426650047302, "count": 8, "is_parallel": true, "self": 0.0012000426650047302 } } }, "UnityEnvironment.step": { "total": 0.03975217416882515, "count": 1, "is_parallel": true, "self": 0.0003789477050304413, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00042678602039813995, "count": 1, "is_parallel": true, "self": 0.00042678602039813995 }, "communicator.exchange": { "total": 0.03770072944462299, "count": 1, "is_parallel": true, "self": 0.03770072944462299 }, "steps_from_proto": { "total": 0.0012457109987735748, "count": 1, "is_parallel": true, "self": 0.0003333352506160736, "children": { "_process_rank_one_or_two_observation": { "total": 0.0009123757481575012, "count": 8, "is_parallel": true, "self": 0.0009123757481575012 } } } } } } }, "UnityEnvironment.step": { "total": 741.0907526277006, "count": 63210, "is_parallel": true, "self": 22.71052259206772, "children": { "UnityEnvironment._generate_step_input": { "total": 24.430144572630525, "count": 63210, "is_parallel": true, "self": 24.430144572630525 }, "communicator.exchange": { "total": 618.6869182959199, "count": 63210, "is_parallel": true, "self": 618.6869182959199 }, "steps_from_proto": { "total": 75.26316716708243, "count": 63210, "is_parallel": true, "self": 19.48693180270493, "children": { "_process_rank_one_or_two_observation": { "total": 55.7762353643775, "count": 505680, "is_parallel": true, "self": 55.7762353643775 } } } } } } } } } } }, "trainer_advance": { "total": 1105.5026448108256, "count": 63211, "self": 3.0268058627843857, "children": { "process_trajectory": { "total": 144.81732693500817, "count": 63211, "self": 144.5397399161011, "children": { "RLTrainer._checkpoint": { "total": 0.27758701890707016, "count": 2, "self": 0.27758701890707016 } } }, "_update_policy": { "total": 957.658512013033, "count": 447, "self": 447.9687806032598, "children": { "TorchPPOOptimizer.update": { "total": 509.68973140977323, "count": 22770, "self": 509.68973140977323 } } } } } } }, "trainer_threads": { "total": 2.305954694747925e-06, "count": 1, "self": 2.305954694747925e-06 }, "TrainerController._save_models": { "total": 0.13000631891191006, "count": 1, "self": 0.001277770847082138, "children": { "RLTrainer._checkpoint": { "total": 0.12872854806482792, "count": 1, "self": 0.12872854806482792 } } } } } } }