| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.29709750413894653, |
| "min": 0.29709750413894653, |
| "max": 0.29709750413894653, |
| "count": 1 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 6184.38134765625, |
| "min": 6184.38134765625, |
| "max": 6184.38134765625, |
| "count": 1 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 313.0877192982456, |
| "min": 313.0877192982456, |
| "max": 313.0877192982456, |
| "count": 1 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 17846.0, |
| "min": 17846.0, |
| "max": 17846.0, |
| "count": 1 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 1019984.0, |
| "min": 1019984.0, |
| "max": 1019984.0, |
| "count": 1 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 1019984.0, |
| "min": 1019984.0, |
| "max": 1019984.0, |
| "count": 1 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.5835974812507629, |
| "min": 0.5835974812507629, |
| "max": 0.5835974812507629, |
| "count": 1 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 107.96553039550781, |
| "min": 107.96553039550781, |
| "max": 107.96553039550781, |
| "count": 1 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 0.08388964086771011, |
| "min": 0.08388964086771011, |
| "max": 0.08388964086771011, |
| "count": 1 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 15.519583702087402, |
| "min": 15.519583702087402, |
| "max": 15.519583702087402, |
| "count": 1 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.686912264740258, |
| "min": 1.686912264740258, |
| "max": 1.686912264740258, |
| "count": 1 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 96.1539990901947, |
| "min": 96.1539990901947, |
| "max": 96.1539990901947, |
| "count": 1 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.686912264740258, |
| "min": 1.686912264740258, |
| "max": 1.686912264740258, |
| "count": 1 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 96.1539990901947, |
| "min": 96.1539990901947, |
| "max": 96.1539990901947, |
| "count": 1 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.036538689442462975, |
| "min": 0.036538689442462975, |
| "max": 0.036538689442462975, |
| "count": 1 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 2.0827052982203895, |
| "min": 2.0827052982203895, |
| "max": 2.0827052982203895, |
| "count": 1 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.06466975791759237, |
| "min": 0.06466975791759237, |
| "max": 0.06466975791759237, |
| "count": 1 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.5820278212583313, |
| "min": 0.5820278212583313, |
| "max": 0.5820278212583313, |
| "count": 1 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.015688749308066217, |
| "min": 0.015688749308066217, |
| "max": 0.015688749308066217, |
| "count": 1 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.14119874377259595, |
| "min": 0.14119874377259595, |
| "max": 0.14119874377259595, |
| "count": 1 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 5.667056039816612e-06, |
| "min": 5.667056039816612e-06, |
| "max": 5.667056039816612e-06, |
| "count": 1 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 5.100350435834951e-05, |
| "min": 5.100350435834951e-05, |
| "max": 5.100350435834951e-05, |
| "count": 1 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.10188898597626755, |
| "min": 0.10188898597626755, |
| "max": 0.10188898597626755, |
| "count": 1 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 0.9170008737864079, |
| "min": 0.9170008737864079, |
| "max": 0.9170008737864079, |
| "count": 1 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.0001987096990291262, |
| "min": 0.0001987096990291262, |
| "max": 0.0001987096990291262, |
| "count": 1 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.001788387291262136, |
| "min": 0.001788387291262136, |
| "max": 0.001788387291262136, |
| "count": 1 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.011391442269086838, |
| "min": 0.011391442269086838, |
| "max": 0.011391442269086838, |
| "count": 1 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.10252297669649124, |
| "min": 0.10252297669649124, |
| "max": 0.10252297669649124, |
| "count": 1 |
| }, |
| "Pyramids.IsTraining.mean": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 1 |
| }, |
| "Pyramids.IsTraining.sum": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 1 |
| } |
| }, |
| "metadata": { |
| "timer_format_version": "0.1.0", |
| "start_time_seconds": "1765056306", |
| "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=PyramidsTraining --no-graphics --resume", |
| "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": "1765056394" |
| }, |
| "total": 88.36538406599993, |
| "count": 1, |
| "self": 0.48088269799973204, |
| "children": { |
| "run_training.setup": { |
| "total": 0.025826080000115326, |
| "count": 1, |
| "self": 0.025826080000115326 |
| }, |
| "TrainerController.start_learning": { |
| "total": 87.85867528800009, |
| "count": 1, |
| "self": 0.05468905799534696, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 2.3069376850007757, |
| "count": 1, |
| "self": 2.3069376850007757 |
| }, |
| "TrainerController.advance": { |
| "total": 85.37670938000338, |
| "count": 1995, |
| "self": 0.05675208900629514, |
| "children": { |
| "env_step": { |
| "total": 64.4985841550124, |
| "count": 1995, |
| "self": 58.78523483995923, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 5.679183673039006, |
| "count": 1995, |
| "self": 0.16634645904650824, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 5.512837213992498, |
| "count": 1926, |
| "self": 5.512837213992498 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.03416564201415895, |
| "count": 1995, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 87.49142945899075, |
| "count": 1995, |
| "is_parallel": true, |
| "self": 33.053141846014114, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.002092548000291572, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0006396970011337544, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0014528509991578176, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0014528509991578176 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.052563428999746975, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005593469986706623, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0004858820002482389, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004858820002482389 |
| }, |
| "communicator.exchange": { |
| "total": 0.049650858000859444, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.049650858000859444 |
| }, |
| "steps_from_proto": { |
| "total": 0.0018673419999686303, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.00036817700038227485, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0014991649995863554, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0014991649995863554 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 54.43828761297664, |
| "count": 1994, |
| "is_parallel": true, |
| "self": 1.193144935006785, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.7941273809656195, |
| "count": 1994, |
| "is_parallel": true, |
| "self": 0.7941273809656195 |
| }, |
| "communicator.exchange": { |
| "total": 48.54618899999514, |
| "count": 1994, |
| "is_parallel": true, |
| "self": 48.54618899999514 |
| }, |
| "steps_from_proto": { |
| "total": 3.9048262970090946, |
| "count": 1994, |
| "is_parallel": true, |
| "self": 0.8382953780092066, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 3.066530918999888, |
| "count": 15952, |
| "is_parallel": true, |
| "self": 3.066530918999888 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 20.821373135984686, |
| "count": 1995, |
| "self": 0.10325494000335311, |
| "children": { |
| "process_trajectory": { |
| "total": 3.943889454982127, |
| "count": 1995, |
| "self": 3.943889454982127 |
| }, |
| "_update_policy": { |
| "total": 16.774228740999206, |
| "count": 14, |
| "self": 9.262684272992374, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 7.511544468006832, |
| "count": 672, |
| "self": 7.511544468006832 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 1.2220007192809135e-06, |
| "count": 1, |
| "self": 1.2220007192809135e-06 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.12033794299986766, |
| "count": 1, |
| "self": 0.0014341070000227774, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.11890383599984489, |
| "count": 1, |
| "self": 0.11890383599984489 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
