| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.35770946741104126, |
| "min": 0.35770946741104126, |
| "max": 1.4576085805892944, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 10645.43359375, |
| "min": 10645.43359375, |
| "max": 44218.015625, |
| "count": 33 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 989972.0, |
| "min": 29952.0, |
| "max": 989972.0, |
| "count": 33 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 989972.0, |
| "min": 29952.0, |
| "max": 989972.0, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.5462323427200317, |
| "min": -0.126254603266716, |
| "max": 0.6217602491378784, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 151.30636596679688, |
| "min": -30.301105499267578, |
| "max": 177.82342529296875, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": -0.022888317704200745, |
| "min": -0.022888317704200745, |
| "max": 0.3432686924934387, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": -6.34006404876709, |
| "min": -6.34006404876709, |
| "max": 81.35468292236328, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.0706488924659919, |
| "min": 0.06513877789795149, |
| "max": 0.07167538732652823, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.9890844945238866, |
| "min": 0.49750003069217696, |
| "max": 1.0505044340291836, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.01573239199660493, |
| "min": 0.00015326874495410285, |
| "max": 0.01573239199660493, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.220253487952469, |
| "min": 0.001839224939449234, |
| "max": 0.220253487952469, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 7.428633238107144e-06, |
| "min": 7.428633238107144e-06, |
| "max": 0.00029515063018788575, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 0.00010400086533350001, |
| "min": 0.00010400086533350001, |
| "max": 0.0031167793610735995, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.10247617857142859, |
| "min": 0.10247617857142859, |
| "max": 0.19838354285714285, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 1.4346665000000003, |
| "min": 1.3691136000000002, |
| "max": 2.4007851000000002, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.00025737023928571444, |
| "min": 0.00025737023928571444, |
| "max": 0.00983851593142857, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.003603183350000002, |
| "min": 0.003603183350000002, |
| "max": 0.10390874736, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.0078036305494606495, |
| "min": 0.0078036305494606495, |
| "max": 0.4196743667125702, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.10925082862377167, |
| "min": 0.10925082862377167, |
| "max": 2.937720537185669, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 347.0, |
| "min": 304.5268817204301, |
| "max": 999.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 29495.0, |
| "min": 15984.0, |
| "max": 32588.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.6059270378421335, |
| "min": -1.0000000521540642, |
| "max": 1.6739612691184527, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 136.50379821658134, |
| "min": -32.000001668930054, |
| "max": 155.6783980280161, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.6059270378421335, |
| "min": -1.0000000521540642, |
| "max": 1.6739612691184527, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 136.50379821658134, |
| "min": -32.000001668930054, |
| "max": 155.6783980280161, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.027981048805454253, |
| "min": 0.025285319663942242, |
| "max": 9.194417202845216, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 2.3783891484636115, |
| "min": 2.3515347287466284, |
| "max": 147.11067524552345, |
| "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": "1742161629", |
| "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": "1742164054" |
| }, |
| "total": 2424.462341949001, |
| "count": 1, |
| "self": 0.4908497020005598, |
| "children": { |
| "run_training.setup": { |
| "total": 0.02141954099988652, |
| "count": 1, |
| "self": 0.02141954099988652 |
| }, |
| "TrainerController.start_learning": { |
| "total": 2423.9500727060004, |
| "count": 1, |
| "self": 1.6165560220370025, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 2.440285273999507, |
| "count": 1, |
| "self": 2.440285273999507 |
| }, |
| "TrainerController.advance": { |
| "total": 2419.7949695859643, |
| "count": 63687, |
| "self": 1.5972076888911033, |
| "children": { |
| "env_step": { |
| "total": 1676.3387588160758, |
| "count": 63687, |
| "self": 1504.8989421069846, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 170.54626897312846, |
| "count": 63687, |
| "self": 5.077192054063744, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 165.46907691906472, |
| "count": 62559, |
| "self": 165.46907691906472 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.8935477359627839, |
| "count": 63687, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 2418.1762590098488, |
| "count": 63687, |
| "is_parallel": true, |
| "self": 1037.361536041727, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.0023863859996708925, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0007600710014230572, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0016263149982478353, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0016263149982478353 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.072759968000355, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.000620430999333621, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0005245550000836374, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005245550000836374 |
| }, |
| "communicator.exchange": { |
| "total": 0.06979246200080524, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.06979246200080524 |
| }, |
| "steps_from_proto": { |
| "total": 0.0018225200001324993, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.00041465000140306074, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0014078699987294385, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0014078699987294385 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 1380.8147229681217, |
| "count": 63686, |
| "is_parallel": true, |
| "self": 34.89657265520509, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 24.515771951015267, |
| "count": 63686, |
| "is_parallel": true, |
| "self": 24.515771951015267 |
| }, |
| "communicator.exchange": { |
| "total": 1216.4732157398003, |
| "count": 63686, |
| "is_parallel": true, |
| "self": 1216.4732157398003 |
| }, |
| "steps_from_proto": { |
| "total": 104.9291626221011, |
| "count": 63686, |
| "is_parallel": true, |
| "self": 21.722518409297663, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 83.20664421280344, |
| "count": 509488, |
| "is_parallel": true, |
| "self": 83.20664421280344 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 741.8590030809974, |
| "count": 63687, |
| "self": 2.9273186370937765, |
| "children": { |
| "process_trajectory": { |
| "total": 136.82329280391423, |
| "count": 63687, |
| "self": 136.6093289569153, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.21396384699892224, |
| "count": 2, |
| "self": 0.21396384699892224 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 602.1083916399893, |
| "count": 433, |
| "self": 330.3866990549541, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 271.72169258503527, |
| "count": 22872, |
| "self": 271.72169258503527 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 1.1819993233075365e-06, |
| "count": 1, |
| "self": 1.1819993233075365e-06 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.0982606420002412, |
| "count": 1, |
| "self": 0.001597373000549851, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.09666326899969135, |
| "count": 1, |
| "self": 0.09666326899969135 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |