| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.3389972746372223, |
| "min": 0.3389972746372223, |
| "max": 1.454379916191101, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 10077.7109375, |
| "min": 10077.7109375, |
| "max": 44120.0703125, |
| "count": 33 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 989903.0, |
| "min": 29952.0, |
| "max": 989903.0, |
| "count": 33 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 989903.0, |
| "min": 29952.0, |
| "max": 989903.0, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.6189768314361572, |
| "min": -0.10685351490974426, |
| "max": 0.6864830851554871, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 177.02737426757812, |
| "min": -25.777069091796875, |
| "max": 197.70712280273438, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 0.0025996495969593525, |
| "min": -0.0003400930145289749, |
| "max": 0.13719666004180908, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 0.7434998154640198, |
| "min": -0.09182511270046234, |
| "max": 32.51560974121094, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.06581924809660349, |
| "min": 0.06524550681241426, |
| "max": 0.0742966294176043, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.9872887214490523, |
| "min": 0.49902938685183224, |
| "max": 1.0942741873178758, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.016270731601657137, |
| "min": 0.0002794015128843109, |
| "max": 0.01750429619486178, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.24406097402485707, |
| "min": 0.0036322196674960414, |
| "max": 0.24554310268528448, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 1.243589751283999e-05, |
| "min": 1.243589751283999e-05, |
| "max": 0.0004919177159021714, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 0.00018653846269259985, |
| "min": 0.00018653846269259985, |
| "max": 0.0058191786361643, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.10248716000000004, |
| "min": 0.10248716000000004, |
| "max": 0.19838354285714285, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 1.5373074000000004, |
| "min": 1.3886848, |
| "max": 2.5724803, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.0002584672839999999, |
| "min": 0.0002584672839999999, |
| "max": 0.00983851593142857, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.0038770092599999984, |
| "min": 0.0038770092599999984, |
| "max": 0.11639718643000001, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.0120148416608572, |
| "min": 0.011760980822145939, |
| "max": 0.5383047461509705, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.18022263050079346, |
| "min": 0.1646537333726883, |
| "max": 3.7681331634521484, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 291.9387755102041, |
| "min": 263.6106194690266, |
| "max": 999.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 28610.0, |
| "min": 15984.0, |
| "max": 33496.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.6694181660811107, |
| "min": -1.0000000521540642, |
| "max": 1.7063199807703495, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 165.27239844202995, |
| "min": -29.701401598751545, |
| "max": 192.2109982818365, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.6694181660811107, |
| "min": -1.0000000521540642, |
| "max": 1.7063199807703495, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 165.27239844202995, |
| "min": -29.701401598751545, |
| "max": 192.2109982818365, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.03651321022290645, |
| "min": 0.03519283905704461, |
| "max": 11.306585293263197, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 3.6148078120677383, |
| "min": 3.6148078120677383, |
| "max": 180.90536469221115, |
| "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": "1694628646", |
| "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]", |
| "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": "0.31.0.dev0", |
| "mlagents_envs_version": "0.31.0.dev0", |
| "communication_protocol_version": "1.5.0", |
| "pytorch_version": "1.11.0+cu102", |
| "numpy_version": "1.21.2", |
| "end_time_seconds": "1694631025" |
| }, |
| "total": 2378.659211449, |
| "count": 1, |
| "self": 0.4889457620001849, |
| "children": { |
| "run_training.setup": { |
| "total": 0.04402335699995774, |
| "count": 1, |
| "self": 0.04402335699995774 |
| }, |
| "TrainerController.start_learning": { |
| "total": 2378.12624233, |
| "count": 1, |
| "self": 1.4353455989958093, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 4.267457227999955, |
| "count": 1, |
| "self": 4.267457227999955 |
| }, |
| "TrainerController.advance": { |
| "total": 2372.3188606170047, |
| "count": 64099, |
| "self": 1.4675732440150568, |
| "children": { |
| "env_step": { |
| "total": 1703.1907582679914, |
| "count": 64099, |
| "self": 1589.2252049259455, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 113.07946581600874, |
| "count": 64099, |
| "self": 5.05829059899304, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 108.0211752170157, |
| "count": 62556, |
| "self": 108.0211752170157 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.8860875260372154, |
| "count": 64099, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 2372.7385484940355, |
| "count": 64099, |
| "is_parallel": true, |
| "self": 905.4892254560409, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.0056753979999939475, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.004133801000079984, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0015415969999139634, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0015415969999139634 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.05337520099999438, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005750159999706739, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0005537830000434951, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005537830000434951 |
| }, |
| "communicator.exchange": { |
| "total": 0.04932156899997153, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.04932156899997153 |
| }, |
| "steps_from_proto": { |
| "total": 0.0029248330000086753, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.00042271200010191023, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.002502120999906765, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.002502120999906765 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 1467.2493230379946, |
| "count": 64098, |
| "is_parallel": true, |
| "self": 34.93269482407527, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 24.740964786974303, |
| "count": 64098, |
| "is_parallel": true, |
| "self": 24.740964786974303 |
| }, |
| "communicator.exchange": { |
| "total": 1296.0335351729575, |
| "count": 64098, |
| "is_parallel": true, |
| "self": 1296.0335351729575 |
| }, |
| "steps_from_proto": { |
| "total": 111.54212825398758, |
| "count": 64098, |
| "is_parallel": true, |
| "self": 22.617088576873357, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 88.92503967711423, |
| "count": 512784, |
| "is_parallel": true, |
| "self": 88.92503967711423 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 667.6605291049982, |
| "count": 64099, |
| "self": 2.647343263935227, |
| "children": { |
| "process_trajectory": { |
| "total": 119.39180059805909, |
| "count": 64099, |
| "self": 119.17911446105933, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.21268613699976413, |
| "count": 2, |
| "self": 0.21268613699976413 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 545.6213852430038, |
| "count": 452, |
| "self": 356.5555417589981, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 189.0658434840057, |
| "count": 22794, |
| "self": 189.0658434840057 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 9.129998943535611e-07, |
| "count": 1, |
| "self": 9.129998943535611e-07 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.10457797299977756, |
| "count": 1, |
| "self": 0.0014946529995540914, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.10308332000022347, |
| "count": 1, |
| "self": 0.10308332000022347 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |