| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.26649004220962524, |
| "min": 0.26649004220962524, |
| "max": 1.5135557651519775, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 7973.38232421875, |
| "min": 7973.38232421875, |
| "max": 45915.2265625, |
| "count": 33 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 989996.0, |
| "min": 29952.0, |
| "max": 989996.0, |
| "count": 33 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 989996.0, |
| "min": 29952.0, |
| "max": 989996.0, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.5051019787788391, |
| "min": -0.17653048038482666, |
| "max": 0.6611797213554382, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 137.3877410888672, |
| "min": -41.83772277832031, |
| "max": 193.06448364257812, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 0.022577596828341484, |
| "min": -0.04366803169250488, |
| "max": 0.35309648513793945, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 6.141106128692627, |
| "min": -11.659364700317383, |
| "max": 83.68386840820312, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.06906367288902401, |
| "min": 0.06387797875749861, |
| "max": 0.07273810475612401, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 1.0359550933353603, |
| "min": 0.5091667332928681, |
| "max": 1.0492193176126903, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.015242325414955203, |
| "min": 0.00037106482315939275, |
| "max": 0.01708136777354715, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.22863488122432804, |
| "min": 0.004452777877912713, |
| "max": 0.2391391488296601, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 7.620477459873331e-06, |
| "min": 7.620477459873331e-06, |
| "max": 0.00029515063018788575, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 0.00011430716189809998, |
| "min": 0.00011430716189809998, |
| "max": 0.0033311520896159995, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.10254012666666666, |
| "min": 0.10254012666666666, |
| "max": 0.19838354285714285, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 1.5381019, |
| "min": 1.3886848, |
| "max": 2.4843195, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.00026375865399999994, |
| "min": 0.00026375865399999994, |
| "max": 0.00983851593142857, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.003956379809999999, |
| "min": 0.003956379809999999, |
| "max": 0.11104736160000002, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.01127812173217535, |
| "min": 0.01127812173217535, |
| "max": 0.41321805119514465, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.16917182505130768, |
| "min": 0.16466549038887024, |
| "max": 2.892526388168335, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 360.6904761904762, |
| "min": 279.0373831775701, |
| "max": 999.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 30298.0, |
| "min": 15984.0, |
| "max": 33084.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.4709156351276191, |
| "min": -1.0000000521540642, |
| "max": 1.6835644667811482, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 122.08599771559238, |
| "min": -29.995601549744606, |
| "max": 180.14139794558287, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.4709156351276191, |
| "min": -1.0000000521540642, |
| "max": 1.6835644667811482, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 122.08599771559238, |
| "min": -29.995601549744606, |
| "max": 180.14139794558287, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.04244995389185588, |
| "min": 0.03658826292975749, |
| "max": 8.311285859905183, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 3.523346173024038, |
| "min": 3.523346173024038, |
| "max": 132.98057375848293, |
| "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": "1682812876", |
| "python_version": "3.10.11 (main, Apr 5 2023, 14:15:10) [GCC 9.4.0]", |
| "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": "1682815108" |
| }, |
| "total": 2232.110722017, |
| "count": 1, |
| "self": 0.9289113670006373, |
| "children": { |
| "run_training.setup": { |
| "total": 0.03660877699985576, |
| "count": 1, |
| "self": 0.03660877699985576 |
| }, |
| "TrainerController.start_learning": { |
| "total": 2231.1452018729997, |
| "count": 1, |
| "self": 1.3155358589274329, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 3.8610737270000755, |
| "count": 1, |
| "self": 3.8610737270000755 |
| }, |
| "TrainerController.advance": { |
| "total": 2225.875774834073, |
| "count": 64005, |
| "self": 1.3523520021781223, |
| "children": { |
| "env_step": { |
| "total": 1591.9768877009728, |
| "count": 64005, |
| "self": 1483.3077816811065, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 107.89719774087553, |
| "count": 64005, |
| "self": 4.725693300847524, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 103.171504440028, |
| "count": 62567, |
| "self": 103.171504440028 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.7719082789908498, |
| "count": 64005, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 2226.299219842935, |
| "count": 64005, |
| "is_parallel": true, |
| "self": 855.4931650939234, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.0015549939998891205, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.00041579299977456685, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0011392010001145536, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0011392010001145536 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.044578513000033126, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004971179996573483, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0004745430001094064, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004745430001094064 |
| }, |
| "communicator.exchange": { |
| "total": 0.041888282999934745, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.041888282999934745 |
| }, |
| "steps_from_proto": { |
| "total": 0.0017185690003316267, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0003644059993348492, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0013541630009967776, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0013541630009967776 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 1370.8060547490118, |
| "count": 64004, |
| "is_parallel": true, |
| "self": 29.709298047051107, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 21.61486570998659, |
| "count": 64004, |
| "is_parallel": true, |
| "self": 21.61486570998659 |
| }, |
| "communicator.exchange": { |
| "total": 1225.0163940020193, |
| "count": 64004, |
| "is_parallel": true, |
| "self": 1225.0163940020193 |
| }, |
| "steps_from_proto": { |
| "total": 94.46549698995477, |
| "count": 64004, |
| "is_parallel": true, |
| "self": 19.383735204194636, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 75.08176178576014, |
| "count": 512032, |
| "is_parallel": true, |
| "self": 75.08176178576014 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 632.5465351309222, |
| "count": 64005, |
| "self": 2.5616451688188135, |
| "children": { |
| "process_trajectory": { |
| "total": 107.78708269911158, |
| "count": 64005, |
| "self": 107.569841469111, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.2172412300005817, |
| "count": 2, |
| "self": 0.2172412300005817 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 522.1978072629918, |
| "count": 449, |
| "self": 334.95471420098374, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 187.24309306200803, |
| "count": 22785, |
| "self": 187.24309306200803 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 9.469995347899385e-07, |
| "count": 1, |
| "self": 9.469995347899385e-07 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.09281650599950808, |
| "count": 1, |
| "self": 0.0014039559991942951, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.09141255000031379, |
| "count": 1, |
| "self": 0.09141255000031379 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
