{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.6743193864822388, "min": 0.6618881821632385, "max": 1.5247089862823486, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 20229.58203125, "min": 19867.236328125, "max": 46253.5703125, "count": 33 }, "Pyramids.Step.mean": { "value": 989897.0, "min": 29952.0, "max": 989897.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989897.0, "min": 29952.0, "max": 989897.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.4287475049495697, "min": -0.10496557503938675, "max": 0.4287475049495697, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 117.04806518554688, "min": -25.296703338623047, "max": 117.04806518554688, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.10881229490041733, "min": -0.04274127259850502, "max": 0.16199654340744019, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 29.70575714111328, "min": -11.155471801757812, "max": 38.39318084716797, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06868303824699233, "min": 0.06376882453999952, "max": 0.0734735924574639, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9615625354578927, "min": 0.5112470934264851, "max": 1.0781795774528289, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.017300266743262127, "min": 0.00022286790493757628, "max": 0.017300266743262127, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.24220373440566978, "min": 0.002451546954313339, "max": 0.24220373440566978, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.739433134507144e-06, "min": 7.739433134507144e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010835206388310002, "min": 0.00010835206388310002, "max": 0.0031171789609404, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.1025797785714286, "min": 0.1025797785714286, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4361169000000003, "min": 1.3886848, "max": 2.3591379000000003, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.00026771987928571436, "min": 0.00026771987928571436, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.003748078310000001, "min": 0.003748078310000001, "max": 0.10392205404000002, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.00789307989180088, "min": 0.007817096076905727, "max": 0.25898781418800354, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.11050312221050262, "min": 0.10943934321403503, "max": 1.8129147291183472, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 420.75342465753425, "min": 420.75342465753425, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30715.0, "min": 15984.0, "max": 33718.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.442216418683529, "min": -1.0000000521540642, "max": 1.5738610881898139, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 105.28179856389761, "min": -32.000001668930054, "max": 113.3179983496666, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.442216418683529, "min": -1.0000000521540642, "max": 1.5738610881898139, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 105.28179856389761, "min": -32.000001668930054, "max": 113.3179983496666, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.034424205383601636, "min": 0.034424205383601636, "max": 5.072410341352224, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.5129669930029195, "min": 2.399562357692048, "max": 81.15856546163559, "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": "1680682264", "python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[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": "1680684426" }, "total": 2162.006944713, "count": 1, "self": 0.5381168780004373, "children": { "run_training.setup": { "total": 0.12488311199990676, "count": 1, "self": 0.12488311199990676 }, "TrainerController.start_learning": { "total": 2161.343944723, "count": 1, "self": 1.5641093220056064, "children": { "TrainerController._reset_env": { "total": 3.919846319000044, "count": 1, "self": 3.919846319000044 }, "TrainerController.advance": { "total": 2155.762804101994, "count": 63380, "self": 1.5884997020079936, "children": { "env_step": { "total": 1523.4534143399278, "count": 63380, "self": 1406.1099226839883, "children": { "SubprocessEnvManager._take_step": { "total": 116.38651586696596, "count": 63380, "self": 5.248307563933622, "children": { "TorchPolicy.evaluate": { "total": 111.13820830303234, "count": 62562, "self": 111.13820830303234 } } }, "workers": { "total": 0.9569757889735229, "count": 63380, "self": 0.0, "children": { "worker_root": { "total": 2155.92539603199, "count": 63380, "is_parallel": true, "self": 871.6160186730426, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0018694259999847418, "count": 1, "is_parallel": true, "self": 0.0005801190002330259, "children": { "_process_rank_one_or_two_observation": { "total": 0.001289306999751716, "count": 8, "is_parallel": true, "self": 0.001289306999751716 } } }, "UnityEnvironment.step": { "total": 0.05861965200006125, "count": 1, "is_parallel": true, "self": 0.0005899610000597022, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005351240001800761, "count": 1, "is_parallel": true, "self": 0.0005351240001800761 }, "communicator.exchange": { "total": 0.05567055400001664, "count": 1, "is_parallel": true, "self": 0.05567055400001664 }, "steps_from_proto": { "total": 0.001824012999804836, "count": 1, "is_parallel": true, "self": 0.00041301399983240117, "children": { "_process_rank_one_or_two_observation": { "total": 0.0014109989999724348, "count": 8, "is_parallel": true, "self": 0.0014109989999724348 } } } } } } }, "UnityEnvironment.step": { "total": 1284.3093773589476, "count": 63379, "is_parallel": true, "self": 34.545682890877515, "children": { "UnityEnvironment._generate_step_input": { "total": 25.96863397200218, "count": 63379, "is_parallel": true, "self": 25.96863397200218 }, "communicator.exchange": { "total": 1120.0125660190133, "count": 63379, "is_parallel": true, "self": 1120.0125660190133 }, "steps_from_proto": { "total": 103.78249447705457, "count": 63379, "is_parallel": true, "self": 22.500224311894954, "children": { "_process_rank_one_or_two_observation": { "total": 81.28227016515962, "count": 507032, "is_parallel": true, "self": 81.28227016515962 } } } } } } } } } } }, "trainer_advance": { "total": 630.7208900600583, "count": 63380, "self": 2.8182513450515216, "children": { "process_trajectory": { "total": 113.59099282400689, "count": 63380, "self": 113.32237475700663, "children": { "RLTrainer._checkpoint": { "total": 0.26861806700026136, "count": 2, "self": 0.26861806700026136 } } }, "_update_policy": { "total": 514.3116458909999, "count": 434, "self": 329.9683614760097, "children": { "TorchPPOOptimizer.update": { "total": 184.3432844149902, "count": 22866, "self": 184.3432844149902 } } } } } } }, "trainer_threads": { "total": 1.0280000424245372e-06, "count": 1, "self": 1.0280000424245372e-06 }, "TrainerController._save_models": { "total": 0.09718395200025043, "count": 1, "self": 0.0021030960001553467, "children": { "RLTrainer._checkpoint": { "total": 0.09508085600009508, "count": 1, "self": 0.09508085600009508 } } } } } } }