| { |
| "name": "root", |
| "gauges": { |
| "Pyramids.Policy.Entropy.mean": { |
| "value": 0.8746827244758606, |
| "min": 0.8316496014595032, |
| "max": 1.4774277210235596, |
| "count": 16 |
| }, |
| "Pyramids.Policy.Entropy.sum": { |
| "value": 26310.45703125, |
| "min": 24962.794921875, |
| "max": 44819.24609375, |
| "count": 16 |
| }, |
| "Pyramids.Step.mean": { |
| "value": 479930.0, |
| "min": 29994.0, |
| "max": 479930.0, |
| "count": 16 |
| }, |
| "Pyramids.Step.sum": { |
| "value": 479930.0, |
| "min": 29994.0, |
| "max": 479930.0, |
| "count": 16 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
| "value": -0.01624610833823681, |
| "min": -0.3146287798881531, |
| "max": -0.01624610833823681, |
| "count": 16 |
| }, |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
| "value": -3.9153122901916504, |
| "min": -74.88165283203125, |
| "max": -3.9153122901916504, |
| "count": 16 |
| }, |
| "Pyramids.Policy.RndValueEstimate.mean": { |
| "value": 0.03006104752421379, |
| "min": 0.025296669453382492, |
| "max": 0.2601739764213562, |
| "count": 16 |
| }, |
| "Pyramids.Policy.RndValueEstimate.sum": { |
| "value": 7.2447123527526855, |
| "min": 6.096497535705566, |
| "max": 62.44175338745117, |
| "count": 16 |
| }, |
| "Pyramids.Losses.PolicyLoss.mean": { |
| "value": 0.06988094395313689, |
| "min": 0.0659174787230473, |
| "max": 0.07725611824087518, |
| "count": 16 |
| }, |
| "Pyramids.Losses.PolicyLoss.sum": { |
| "value": 0.9783332153439164, |
| "min": 0.5407928276861262, |
| "max": 0.989881582105619, |
| "count": 16 |
| }, |
| "Pyramids.Losses.ValueLoss.mean": { |
| "value": 0.0024227697882574337, |
| "min": 0.0005141955552607118, |
| "max": 0.006950746215356144, |
| "count": 16 |
| }, |
| "Pyramids.Losses.ValueLoss.sum": { |
| "value": 0.03391877703560407, |
| "min": 0.006684542218389254, |
| "max": 0.04865522350749301, |
| "count": 16 |
| }, |
| "Pyramids.Policy.LearningRate.mean": { |
| "value": 2.1455621419585715e-05, |
| "min": 2.1455621419585715e-05, |
| "max": 0.00029047320317559996, |
| "count": 16 |
| }, |
| "Pyramids.Policy.LearningRate.sum": { |
| "value": 0.0003003786998742, |
| "min": 0.0003003786998742, |
| "max": 0.0028383003539, |
| "count": 16 |
| }, |
| "Pyramids.Policy.Epsilon.mean": { |
| "value": 0.10715184285714287, |
| "min": 0.10715184285714287, |
| "max": 0.19682440000000004, |
| "count": 16 |
| }, |
| "Pyramids.Policy.Epsilon.sum": { |
| "value": 1.5001258000000002, |
| "min": 1.3777708000000002, |
| "max": 2.2461000000000007, |
| "count": 16 |
| }, |
| "Pyramids.Policy.Beta.mean": { |
| "value": 0.0007244691014285715, |
| "min": 0.0007244691014285715, |
| "max": 0.00968275756, |
| "count": 16 |
| }, |
| "Pyramids.Policy.Beta.sum": { |
| "value": 0.010142567420000002, |
| "min": 0.010142567420000002, |
| "max": 0.09464539000000001, |
| "count": 16 |
| }, |
| "Pyramids.Losses.RNDLoss.mean": { |
| "value": 0.02698243223130703, |
| "min": 0.02698243223130703, |
| "max": 0.4409971237182617, |
| "count": 16 |
| }, |
| "Pyramids.Losses.RNDLoss.sum": { |
| "value": 0.3777540624141693, |
| "min": 0.3777540624141693, |
| "max": 3.086979866027832, |
| "count": 16 |
| }, |
| "Pyramids.Environment.EpisodeLength.mean": { |
| "value": 978.625, |
| "min": 922.25, |
| "max": 999.0, |
| "count": 16 |
| }, |
| "Pyramids.Environment.EpisodeLength.sum": { |
| "value": 31316.0, |
| "min": 16665.0, |
| "max": 31968.0, |
| "count": 16 |
| }, |
| "Pyramids.Environment.CumulativeReward.mean": { |
| "value": -0.7205355321207354, |
| "min": -0.9999750521965325, |
| "max": -0.4852625490166247, |
| "count": 16 |
| }, |
| "Pyramids.Environment.CumulativeReward.sum": { |
| "value": -22.336601495742798, |
| "min": -31.99920167028904, |
| "max": -14.681000873446465, |
| "count": 16 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.mean": { |
| "value": -0.7205355321207354, |
| "min": -0.9999750521965325, |
| "max": -0.4852625490166247, |
| "count": 16 |
| }, |
| "Pyramids.Policy.ExtrinsicReward.sum": { |
| "value": -22.336601495742798, |
| "min": -31.99920167028904, |
| "max": -14.681000873446465, |
| "count": 16 |
| }, |
| "Pyramids.Policy.RndReward.mean": { |
| "value": 0.2734389911976553, |
| "min": 0.2731584718276281, |
| "max": 7.615341357010252, |
| "count": 16 |
| }, |
| "Pyramids.Policy.RndReward.sum": { |
| "value": 8.476608727127314, |
| "min": 8.476608727127314, |
| "max": 129.4608030691743, |
| "count": 16 |
| }, |
| "Pyramids.IsTraining.mean": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 16 |
| }, |
| "Pyramids.IsTraining.sum": { |
| "value": 1.0, |
| "min": 1.0, |
| "max": 1.0, |
| "count": 16 |
| } |
| }, |
| "metadata": { |
| "timer_format_version": "0.1.0", |
| "start_time_seconds": "1671634053", |
| "python_version": "3.8.16 (default, Dec 7 2022, 01:12:13) \n[GCC 7.5.0]", |
| "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./trained-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics", |
| "mlagents_version": "0.29.0.dev0", |
| "mlagents_envs_version": "0.29.0.dev0", |
| "communication_protocol_version": "1.5.0", |
| "pytorch_version": "1.8.1+cu102", |
| "numpy_version": "1.21.6", |
| "end_time_seconds": "1671635008" |
| }, |
| "total": 954.633990965, |
| "count": 1, |
| "self": 0.44929530699982934, |
| "children": { |
| "run_training.setup": { |
| "total": 0.10899317500002326, |
| "count": 1, |
| "self": 0.10899317500002326 |
| }, |
| "TrainerController.start_learning": { |
| "total": 954.0757024830001, |
| "count": 1, |
| "self": 0.5750407550365253, |
| "children": { |
| "TrainerController._reset_env": { |
| "total": 7.471981321000044, |
| "count": 1, |
| "self": 7.471981321000044 |
| }, |
| "TrainerController.advance": { |
| "total": 945.8855820089636, |
| "count": 31570, |
| "self": 0.6122840609965579, |
| "children": { |
| "env_step": { |
| "total": 616.4525375539938, |
| "count": 31570, |
| "self": 565.1843603820217, |
| "children": { |
| "SubprocessEnvManager._take_step": { |
| "total": 50.900976367987255, |
| "count": 31570, |
| "self": 2.137308965981333, |
| "children": { |
| "TorchPolicy.evaluate": { |
| "total": 48.76366740200592, |
| "count": 31322, |
| "self": 16.524531247980235, |
| "children": { |
| "TorchPolicy.sample_actions": { |
| "total": 32.23913615402569, |
| "count": 31322, |
| "self": 32.23913615402569 |
| } |
| } |
| } |
| } |
| }, |
| "workers": { |
| "total": 0.36720080398481514, |
| "count": 31570, |
| "self": 0.0, |
| "children": { |
| "worker_root": { |
| "total": 951.8780449189918, |
| "count": 31570, |
| "is_parallel": true, |
| "self": 434.6375714459758, |
| "children": { |
| "run_training.setup": { |
| "total": 0.0, |
| "count": 0, |
| "is_parallel": true, |
| "self": 0.0, |
| "children": { |
| "steps_from_proto": { |
| "total": 0.0053216969999994035, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.003131400000143003, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0021902969998564004, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0021902969998564004 |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 0.0462234089999356, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0005085049998569957, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 0.0004282659999716998, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004282659999716998 |
| }, |
| "communicator.exchange": { |
| "total": 0.043723924000005354, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.043723924000005354 |
| }, |
| "steps_from_proto": { |
| "total": 0.0015627140001015505, |
| "count": 1, |
| "is_parallel": true, |
| "self": 0.0004005979999419651, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 0.0011621160001595854, |
| "count": 8, |
| "is_parallel": true, |
| "self": 0.0011621160001595854 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "UnityEnvironment.step": { |
| "total": 517.240473473016, |
| "count": 31569, |
| "is_parallel": true, |
| "self": 14.040678984011606, |
| "children": { |
| "UnityEnvironment._generate_step_input": { |
| "total": 11.94351097598792, |
| "count": 31569, |
| "is_parallel": true, |
| "self": 11.94351097598792 |
| }, |
| "communicator.exchange": { |
| "total": 443.59502019800686, |
| "count": 31569, |
| "is_parallel": true, |
| "self": 443.59502019800686 |
| }, |
| "steps_from_proto": { |
| "total": 47.66126331500959, |
| "count": 31569, |
| "is_parallel": true, |
| "self": 11.015088757984927, |
| "children": { |
| "_process_rank_one_or_two_observation": { |
| "total": 36.646174557024665, |
| "count": 252552, |
| "is_parallel": true, |
| "self": 36.646174557024665 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_advance": { |
| "total": 328.8207603939733, |
| "count": 31570, |
| "self": 0.9847824919723962, |
| "children": { |
| "process_trajectory": { |
| "total": 72.8055588370014, |
| "count": 31570, |
| "self": 72.65179650700134, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.15376233000006323, |
| "count": 1, |
| "self": 0.15376233000006323 |
| } |
| } |
| }, |
| "_update_policy": { |
| "total": 255.03041906499948, |
| "count": 214, |
| "self": 99.98832861199003, |
| "children": { |
| "TorchPPOOptimizer.update": { |
| "total": 155.04209045300945, |
| "count": 11427, |
| "self": 155.04209045300945 |
| } |
| } |
| } |
| } |
| } |
| } |
| }, |
| "trainer_threads": { |
| "total": 1.3889998626837041e-06, |
| "count": 1, |
| "self": 1.3889998626837041e-06 |
| }, |
| "TrainerController._save_models": { |
| "total": 0.14309700900003008, |
| "count": 1, |
| "self": 0.0018280400001913222, |
| "children": { |
| "RLTrainer._checkpoint": { |
| "total": 0.14126896899983876, |
| "count": 1, |
| "self": 0.14126896899983876 |
| } |
| } |
| } |
| } |
| } |
| } |
| } |