| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.3090593218803406, |
| "min": 0.29969552159309387, |
| "max": 1.4599910974502563, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 9252.0, |
| "min": 9072.3828125, |
| "max": 44290.2890625, |
| "count": 33 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 989969.0, |
| "min": 29952.0, |
| "max": 989969.0, |
| "count": 33 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 989969.0, |
| "min": 29952.0, |
| "max": 989969.0, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": 0.5202628374099731, |
| "min": -0.11345171183347702, |
| "max": 0.5222572088241577, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": 141.51148986816406, |
| "min": -27.341861724853516, |
| "max": 141.51148986816406, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 0.02299434319138527, |
| "min": -0.010421034879982471, |
| "max": 0.4460807144641876, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 6.254461288452148, |
| "min": -2.792837381362915, |
| "max": 105.72113037109375, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.06868918770868775, |
| "min": 0.06623856824315975, |
| "max": 0.0735516142342293, |
| "count": 33 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.9616486279216285, |
| "min": 0.5148612996396051, |
| "max": 1.044684574531857, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.014616191838978833, |
| "min": 0.00028738573535383455, |
| "max": 0.016489298325114334, |
| "count": 33 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.20462668574570367, |
| "min": 0.00316124308889218, |
| "max": 0.23085017655160067, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 7.478968935614284e-06, |
| "min": 7.478968935614284e-06, |
| "max": 0.00029515063018788575, |
| "count": 33 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 0.00010470556509859997, |
| "min": 0.00010470556509859997, |
| "max": 0.0033822284725905996, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.10249295714285714, |
| "min": 0.10249295714285714, |
| "max": 0.19838354285714285, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 1.4349014, |
| "min": 1.3886848, |
| "max": 2.5276197, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.0002590464185714285, |
| "min": 0.0002590464185714285, |
| "max": 0.00983851593142857, |
| "count": 33 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.0036266498599999996, |
| "min": 0.0036266498599999996, |
| "max": 0.11276819905999999, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.014492576010525227, |
| "min": 0.014492576010525227, |
| "max": 0.46366044878959656, |
| "count": 33 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.20289605855941772, |
| "min": 0.20289605855941772, |
| "max": 3.2456231117248535, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 381.9125, |
| "min": 347.70588235294116, |
| "max": 999.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 30553.0, |
| "min": 15984.0, |
| "max": 34016.0, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": 1.543062483239919, |
| "min": -1.0000000521540642, |
| "max": 1.6287552779211718, |
| "count": 33 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": 123.44499865919352, |
| "min": -30.99940161406994, |
| "max": 138.4441986232996, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": 1.543062483239919, |
| "min": -1.0000000521540642, |
| "max": 1.6287552779211718, |
| "count": 33 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": 123.44499865919352, |
| "min": -30.99940161406994, |
| "max": 138.4441986232996, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.05835482214024523, |
| "min": 0.05438552034628468, |
| "max": 9.965992421843112, |
| "count": 33 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 4.668385771219619, |
| "min": 4.515560684492812, |
| "max": 159.45587874948978, |
| "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": "1754780184", |
| "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": "2.8.0+cu128", |
| "numpy_version": "1.23.5", |
| "end_time_seconds": "1754782356" |
| }, |
| "total": 2171.9928126139994, |
| "count": 1, |
| "self": 0.48299024799962353, |
| "children": { |
| "run_training.setup": { |
| "total": 0.020082340000044496, |
| "count": 1, |
| "self": 0.020082340000044496 |
| }, |
| "TrainerController.start_learning": { |
| "total": 2171.4897400259997, |
| "count": 1, |
| "self": 1.3563397509824426, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 2.3960660120001194, |
| "count": 1, |
| "self": 2.3960660120001194 |
| }, |
| "TrainerController.advance": { |
| "total": 2167.6549590880168, |
| "count": 63799, |
| "self": 1.4016982070479571, |
| "children": { |
| "env_step": { |
| "total": 1501.6006381519474, |
| "count": 63799, |
| "self": 1350.907628273027, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 149.88941506400897, |
| "count": 63799, |
| "self": 4.606544288107671, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 145.2828707759013, |
| "count": 62559, |
| "self": 145.2828707759013 |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.803594814911321, |
| "count": 63799, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 2166.63190238591, |
| "count": 63799, |
| "is_parallel": true, |
| "self": 930.1250539659991, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.0018573540000943467, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0006166590001157601, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0012406949999785866, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0012406949999785866 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.07549244499978158, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005474610002238478, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.00044709799976772047, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.00044709799976772047 |
| }, |
| "communicator.exchange": { |
| "total": 0.07272639799975877, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.07272639799975877 |
| }, |
| "steps_from_proto": { |
| "total": 0.0017714880000312405, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004214690006847377, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0013500189993465028, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0013500189993465028 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 1236.506848419911, |
| "count": 63798, |
| "is_parallel": true, |
| "self": 31.819523921988093, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 23.46254703400291, |
| "count": 63798, |
| "is_parallel": true, |
| "self": 23.46254703400291 |
| }, |
| "communicator.exchange": { |
| "total": 1083.6366623389513, |
| "count": 63798, |
| "is_parallel": true, |
| "self": 1083.6366623389513 |
| }, |
| "steps_from_proto": { |
| "total": 97.58811512496868, |
| "count": 63798, |
| "is_parallel": true, |
| "self": 19.489272191050077, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 78.0988429339186, |
| "count": 510384, |
| "is_parallel": true, |
| "self": 78.0988429339186 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 664.6526227290215, |
| "count": 63799, |
| "self": 2.588716452013614, |
| "children": { |
| "process_trajectory": { |
| "total": 128.0111472230028, |
| "count": 63799, |
| "self": 127.8174796690032, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.19366755399960311, |
| "count": 2, |
| "self": 0.19366755399960311 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 534.052759054005, |
| "count": 448, |
| "self": 299.5116212890257, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 234.54113776497934, |
| "count": 22869, |
| "self": 234.54113776497934 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 1.0270005077472888e-06, |
| "count": 1, |
| "self": 1.0270005077472888e-06 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.08237414799987164, |
| "count": 1, |
| "self": 0.001406493000104092, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.08096765499976755, |
| "count": 1, |
| "self": 0.08096765499976755 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
