| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.46655145287513733, |
| "min": 0.4543718099594116, |
| "max": 0.5169422030448914, |
| "count": 13 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 13989.0791015625, |
| "min": 13529.375, |
| "max": 15318.03125, |
| "count": 13 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 1589898.0, |
| "min": 1229962.0, |
| "max": 1589898.0, |
| "count": 13 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 1589898.0, |
| "min": 1229962.0, |
| "max": 1589898.0, |
| "count": 13 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.3393390476703644, |
| "min": 0.1938980519771576, |
| "max": 0.3393390476703644, |
| "count": 13 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 89.24617004394531, |
| "min": 49.25010681152344, |
| "max": 89.24617004394531, |
| "count": 13 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 9.462202072143555, |
| "min": 8.912569046020508, |
| "max": 18.159835815429688, |
| "count": 13 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 2488.55908203125, |
| "min": 2335.093017578125, |
| "max": 4739.71728515625, |
| "count": 13 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 489.4375, |
| "min": 436.26785714285717, |
| "max": 678.8723404255319, |
| "count": 13 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 31324.0, |
| "min": 24431.0, |
| "max": 32105.0, |
| "count": 13 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.2646126727026605, |
| "min": 0.554914856210668, |
| "max": 1.4208178309989827, |
| "count": 13 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 79.67059838026762, |
| "min": 26.080998241901398, |
| "max": 79.67059838026762, |
| "count": 13 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.2646126727026605, |
| "min": 0.554914856210668, |
| "max": 1.4208178309989827, |
| "count": 13 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 79.67059838026762, |
| "min": 26.080998241901398, |
| "max": 79.67059838026762, |
| "count": 13 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.0364661766160723, |
| "min": 0.0364661766160723, |
| "max": 0.07318291784279009, |
| "count": 13 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 2.297369126812555, |
| "min": 2.137254884570666, |
| "max": 3.439597138611134, |
| "count": 13 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.06579424443415996, |
| "min": 0.06579424443415996, |
| "max": 0.07123254773753053, |
| "count": 13 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.9211194220782394, |
| "min": 0.9211194220782394, |
| "max": 1.0418033949584544, |
| "count": 13 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 9.290047738257616, |
| "min": 9.28028309158459, |
| "max": 41.81478864327073, |
| "count": 13 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 130.06066833560664, |
| "min": 129.92396328218425, |
| "max": 585.4070410057902, |
| "count": 13 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 4.629741313928572e-06, |
| "min": 4.629741313928572e-06, |
| "max": 7.203146884667855e-05, |
| "count": 13 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 6.481637839500001e-05, |
| "min": 6.481637839500001e-05, |
| "max": 0.0010084405638534997, |
| "count": 13 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.1015432142857143, |
| "min": 0.1015432142857143, |
| "max": 0.1240104642857143, |
| "count": 13 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 1.4216050000000002, |
| "min": 1.4216050000000002, |
| "max": 1.7361465000000003, |
| "count": 13 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.00016416710714285722, |
| "min": 0.00016416710714285722, |
| "max": 0.002408645382142857, |
| "count": 13 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.002298339500000001, |
| "min": 0.002298339500000001, |
| "max": 0.03372103535, |
| "count": 13 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.00714080547913909, |
| "min": 0.007051652763038874, |
| "max": 0.010782291181385517, |
| "count": 13 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.09997127950191498, |
| "min": 0.09872313588857651, |
| "max": 0.1509520709514618, |
| "count": 13 |
| }, |
| "Pyramids.IsTraining.mean": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 13 |
| }, |
| "Pyramids.IsTraining.sum": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 13 |
| } |
| }, |
| "metadata": { |
| "timer_format_version": "0.1.0", |
| "start_time_seconds": "1750182615", |
| "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 --resume", |
| "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": "1750184077" |
| }, |
| "total": 1461.9023671020004, |
| "count": 1, |
| "self": 0.6293885169998248, |
| "children": { |
| "run_training.setup": { |
| "total": 0.02867036400039069, |
| "count": 1, |
| "self": 0.02867036400039069 |
| }, |
| "TrainerController.start_learning": { |
| "total": 1461.2443082210002, |
| "count": 1, |
| "self": 1.119093739008349, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 3.476560967000296, |
| "count": 1, |
| "self": 3.476560967000296 |
| }, |
| "TrainerController.advance": { |
| "total": 1456.5675661149917, |
| "count": 25604, |
| "self": 1.1881691179823974, |
| "children": { |
| "env_step": { |
| "total": 1002.010742176064, |
| "count": 25604, |
| "self": 929.6181848720043, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 71.73163796901736, |
| "count": 25604, |
| "self": 3.546071992996076, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 68.18556597602128, |
| "count": 25050, |
| "self": 68.18556597602128 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.6609193350423084, |
| "count": 25604, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 1457.1067589910745, |
| "count": 25604, |
| "is_parallel": true, |
| "self": 611.0327728740058, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.0028622559993891628, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0011329169983582688, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.001729339001030894, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.001729339001030894 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.16418239399990853, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0007876739991843351, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0006024300000717631, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0006024300000717631 |
| }, |
| "communicator.exchange": { |
| "total": 0.15549212699988857, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.15549212699988857 |
| }, |
| "steps_from_proto": { |
| "total": 0.00730016300076386, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.005706316000214429, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.001593847000549431, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.001593847000549431 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 846.0739861170687, |
| "count": 25603, |
| "is_parallel": true, |
| "self": 19.921130432023347, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 13.73654646396335, |
| "count": 25603, |
| "is_parallel": true, |
| "self": 13.73654646396335 |
| }, |
| "communicator.exchange": { |
| "total": 756.7903139829805, |
| "count": 25603, |
| "is_parallel": true, |
| "self": 756.7903139829805 |
| }, |
| "steps_from_proto": { |
| "total": 55.625995238101495, |
| "count": 25603, |
| "is_parallel": true, |
| "self": 12.366150976169592, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 43.2598442619319, |
| "count": 204824, |
| "is_parallel": true, |
| "self": 43.2598442619319 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 453.36865482094527, |
| "count": 25604, |
| "self": 2.35918888696051, |
| "children": { |
| "process_trajectory": { |
| "total": 73.63783944298757, |
| "count": 25604, |
| "self": 73.51909879798768, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.1187406449998889, |
| "count": 1, |
| "self": 0.1187406449998889 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 377.3716264909972, |
| "count": 189, |
| "self": 149.91948618401057, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 227.45214030698662, |
| "count": 9093, |
| "self": 227.45214030698662 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 8.810002327663824e-07, |
| "count": 1, |
| "self": 8.810002327663824e-07 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.0810865189996548, |
| "count": 1, |
| "self": 0.0025666270003057434, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.07851989199934906, |
| "count": 1, |
| "self": 0.07851989199934906 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |