{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 1.34518563747406, "min": 1.34518563747406, "max": 1.6037851572036743, "count": 10 }, "Pyramids.Policy.Entropy.sum": { "value": 37751.2890625, "min": 32165.931640625, "max": 77443.578125, "count": 10 }, "Pyramids.Step.mean": { "value": 299967.0, "min": 29952.0, "max": 299967.0, "count": 10 }, "Pyramids.Step.sum": { "value": 299967.0, "min": 29952.0, "max": 299967.0, "count": 10 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": -0.05793962627649307, "min": -0.10416014492511749, "max": 0.23007497191429138, "count": 10 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": -13.731691360473633, "min": -26.560836791992188, "max": 53.83754348754883, "count": 10 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.03692026808857918, "min": 0.03692026808857918, "max": 0.4226361811161041, "count": 10 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 8.750103950500488, "min": 8.750103950500488, "max": 98.89686584472656, "count": 10 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.07005543610178874, "min": 0.0679856052720394, "max": 0.07626096354492586, "count": 10 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.7005543610178874, "min": 0.4188352679581537, "max": 0.7005543610178874, "count": 10 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.0019222434540856943, "min": 0.00010227638162835699, "max": 0.008823805660119467, "count": 10 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.019222434540856943, "min": 0.0009204874346552129, "max": 0.0529428339607168, "count": 10 }, "Pyramids.Policy.LearningRate.mean": { "value": 1.5821194726300002e-05, "min": 1.5821194726300002e-05, "max": 0.00028429867190044446, "count": 10 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00015821194726300003, "min": 0.00015821194726300003, "max": 0.0017866561044479997, "count": 10 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.1052737, "min": 0.1052737, "max": 0.1947662222222222, "count": 10 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.052737, "min": 0.9207493333333333, "max": 1.5492856666666668, "count": 10 }, "Pyramids.Policy.Beta.mean": { "value": 0.0005368426300000002, "min": 0.0005368426300000002, "max": 0.009477145600000002, "count": 10 }, "Pyramids.Policy.Beta.sum": { "value": 0.005368426300000002, "min": 0.005368426300000002, "max": 0.05956564480000001, "count": 10 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.03076792322099209, "min": 0.03076792322099209, "max": 0.5195443630218506, "count": 10 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.3076792359352112, "min": 0.267240047454834, "max": 3.1172661781311035, "count": 10 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 10 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 10 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 719.8, "min": 224.0, "max": 999.0, "count": 7 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 3599.0, "min": 224.0, "max": 109890.0, "count": 7 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 0.47991997599601743, "min": -1.0000000521540642, "max": 1.7760000377893448, "count": 7 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 2.3995998799800873, "min": -114.00000594556332, "max": 4.744999885559082, "count": 7 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 0.47991997599601743, "min": -1.0000000521540642, "max": 1.7760000377893448, "count": 7 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 2.3995998799800873, "min": -114.00000594556332, "max": 4.744999885559082, "count": 7 }, "Pyramids.Policy.RndReward.mean": { "value": 0.311483626998961, "min": 0.13982895761728287, "max": 2.633639372885227, "count": 7 }, "Pyramids.Policy.RndReward.sum": { "value": 1.5574181349948049, "min": 0.13982895761728287, "max": 185.76088354550302, "count": 7 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1688722554", "python_version": "3.9.13 (main, Oct 13 2022, 21:15:33) \n[GCC 11.2.0]", "command_line_arguments": "/home/olav/dev/anaconda3/envs/hug-rl/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=pyramids_training_and_5 --no-graphics --force", "mlagents_version": "0.31.0.dev0", "mlagents_envs_version": "0.31.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.0.1", "numpy_version": "1.21.2", "end_time_seconds": "1688722716" }, "total": 161.608135203016, "count": 1, "self": 0.3211399420397356, "children": { "run_training.setup": { "total": 0.031840882962569594, "count": 1, "self": 0.031840882962569594 }, "TrainerController.start_learning": { "total": 161.25515437801369, "count": 1, "self": 0.2723246969981119, "children": { "TrainerController._reset_env": { "total": 1.5905830189585686, "count": 1, "self": 1.5905830189585686 }, "TrainerController.advance": { "total": 159.29549783305265, "count": 14022, "self": 0.22901960194576532, "children": { "env_step": { "total": 67.68740833661286, "count": 14022, "self": 40.967237195174675, "children": { "SubprocessEnvManager._take_step": { "total": 26.5403018881334, "count": 19549, "self": 0.9354832168319263, "children": { "TorchPolicy.evaluate": { "total": 25.604818671301473, "count": 19537, "self": 25.604818671301473 } } }, "workers": { "total": 0.17986925330478698, "count": 14022, "self": 0.0, "children": { "worker_root": { "total": 1931.958879199694, "count": 19538, "is_parallel": true, "self": 1218.0949142348836, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.011932429915759712, "count": 12, "is_parallel": true, "self": 0.003587272483855486, "children": { "_process_rank_one_or_two_observation": { "total": 0.008345157431904227, "count": 96, "is_parallel": true, "self": 0.008345157431904227 } } }, "UnityEnvironment.step": { "total": 0.7438849699101411, "count": 12, "is_parallel": true, "self": 0.001948183518834412, "children": { "UnityEnvironment._generate_step_input": { "total": 0.008791721193119884, "count": 12, "is_parallel": true, "self": 0.008791721193119884 }, "communicator.exchange": { "total": 0.7219343140604906, "count": 12, "is_parallel": true, "self": 0.7219343140604906 }, "steps_from_proto": { "total": 0.011210751137696207, "count": 12, "is_parallel": true, "self": 0.002771151135675609, "children": { "_process_rank_one_or_two_observation": { "total": 0.008439600002020597, "count": 96, "is_parallel": true, "self": 0.008439600002020597 } } } } } } }, "UnityEnvironment.step": { "total": 713.8639649648103, "count": 19526, "is_parallel": true, "self": 3.0717344526201487, "children": { "UnityEnvironment._generate_step_input": { "total": 13.246067003114149, "count": 19526, "is_parallel": true, "self": 13.246067003114149 }, "communicator.exchange": { "total": 680.3323255372234, "count": 19526, "is_parallel": true, "self": 680.3323255372234 }, "steps_from_proto": { "total": 17.213837971852627, "count": 19526, "is_parallel": true, "self": 4.171758057316765, "children": { "_process_rank_one_or_two_observation": { "total": 13.042079914535861, "count": 156208, "is_parallel": true, "self": 13.042079914535861 } } } } } } } } } } }, "trainer_advance": { "total": 91.37906989449402, "count": 14022, "self": 0.3428757885703817, "children": { "process_trajectory": { "total": 17.308251061011106, "count": 14022, "self": 17.308251061011106 }, "_update_policy": { "total": 73.72794304491254, "count": 82, "self": 45.66784885386005, "children": { "TorchPPOOptimizer.update": { "total": 28.060094191052485, "count": 6978, "self": 28.060094191052485 } } } } } } }, "trainer_threads": { "total": 6.899936124682426e-07, "count": 1, "self": 6.899936124682426e-07 }, "TrainerController._save_models": { "total": 0.0967481390107423, "count": 1, "self": 0.029211898043286055, "children": { "RLTrainer._checkpoint": { "total": 0.06753624096745625, "count": 1, "self": 0.06753624096745625 } } } } } } }