{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.1452857255935669, "min": 0.1444326788187027, "max": 1.0461056232452393, "count": 30 }, "Pyramids.Policy.Entropy.sum": { "value": 14516.9501953125, "min": 14408.603515625, "max": 105480.921875, "count": 30 }, "Pyramids.Step.mean": { "value": 2999952.0, "min": 99900.0, "max": 2999952.0, "count": 30 }, "Pyramids.Step.sum": { "value": 2999952.0, "min": 99900.0, "max": 2999952.0, "count": 30 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.7961941361427307, "min": -0.0913986787199974, "max": 0.8202935457229614, "count": 30 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 799.37890625, "min": -73.21034240722656, "max": 838.3400268554688, "count": 30 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.01836739480495453, "min": 0.011664221063256264, "max": 0.42849498987197876, "count": 30 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 18.44086456298828, "min": 10.91771125793457, "max": 343.2244873046875, "count": 30 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.04557692741971886, "min": 0.044100132224881516, "max": 0.04938360436981319, "count": 30 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 2.1421155887267864, "min": 1.7700796656169053, "max": 2.32102940538122, "count": 30 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.014917593240467103, "min": 0.001749484076883257, "max": 0.01596666678354571, "count": 30 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.7011268823019539, "min": 0.07697729938286331, "max": 0.7664000056101941, "count": 30 }, "Pyramids.Policy.LearningRate.mean": { "value": 5.054864272524822e-06, "min": 5.054864272524822e-06, "max": 0.00029441628023961887, "count": 30 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00023757862080866663, "min": 0.00023757862080866663, "max": 0.012536508721163832, "count": 30 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10168492198581561, "min": 0.10168492198581561, "max": 0.19813875945945947, "count": 30 }, "Pyramids.Policy.Epsilon.sum": { "value": 4.779191333333333, "min": 4.779191333333333, "max": 8.850994833333331, "count": 30 }, "Pyramids.Policy.Beta.mean": { "value": 0.0001783237063829787, "min": 0.0001783237063829787, "max": 0.00981406207, "count": 30 }, "Pyramids.Policy.Beta.sum": { "value": 0.008381214199999999, "min": 0.008381214199999999, "max": 0.41790573304999995, "count": 30 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.011397403664886951, "min": 0.011397403664886951, "max": 0.41011297702789307, "count": 30 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.535677969455719, "min": 0.535677969455719, "max": 15.174180030822754, "count": 30 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 228.13636363636363, "min": 225.97972972972974, "max": 970.58, "count": 30 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 100380.0, "min": 95066.0, "max": 105186.0, "count": 30 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.7580970254533654, "min": -0.8314020502567291, "max": 1.7695135027673599, "count": 30 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 771.8045941740274, "min": -83.14020502567291, "max": 785.6639952287078, "count": 30 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.7580970254533654, "min": -0.8314020502567291, "max": 1.7695135027673599, "count": 30 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 771.8045941740274, "min": -83.14020502567291, "max": 785.6639952287078, "count": 30 }, "Pyramids.Policy.RndReward.mean": { "value": 0.026805186059153167, "min": 0.0267875842717429, "max": 5.570993026376379, "count": 30 }, "Pyramids.Policy.RndReward.sum": { "value": 11.76747667996824, "min": 11.76747667996824, "max": 545.9573165848851, "count": 30 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 30 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 30 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1698302067", "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]", "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 --force", "mlagents_version": "1.1.0.dev0", "mlagents_envs_version": "1.1.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.1.0+cu118", "numpy_version": "1.23.5", "end_time_seconds": "1698308732" }, "total": 6664.740312280999, "count": 1, "self": 0.4764733289994183, "children": { "run_training.setup": { "total": 0.04820331299993086, "count": 1, "self": 0.04820331299993086 }, "TrainerController.start_learning": { "total": 6664.215635639, "count": 1, "self": 4.06504375802524, "children": { "TrainerController._reset_env": { "total": 3.5561451600000282, "count": 1, "self": 3.5561451600000282 }, "TrainerController.advance": { "total": 6656.399910853975, "count": 194037, "self": 4.242367065165126, "children": { "env_step": { "total": 5125.678803261965, "count": 194037, "self": 4720.557824530886, "children": { "SubprocessEnvManager._take_step": { "total": 402.57981815115886, "count": 194037, "self": 13.70290741616509, "children": { "TorchPolicy.evaluate": { "total": 388.87691073499377, "count": 187553, "self": 388.87691073499377 } } }, "workers": { "total": 2.541160579919847, "count": 194037, "self": 0.0, "children": { "worker_root": { "total": 6649.856148793965, "count": 194037, "is_parallel": true, "self": 2281.8795569861595, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.002027706000035323, "count": 1, "is_parallel": true, "self": 0.0006951670000034937, "children": { "_process_rank_one_or_two_observation": { "total": 0.0013325390000318293, "count": 8, "is_parallel": true, "self": 0.0013325390000318293 } } }, "UnityEnvironment.step": { "total": 0.051519338000048265, "count": 1, "is_parallel": true, "self": 0.0007017410000571545, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005178510000405367, "count": 1, "is_parallel": true, "self": 0.0005178510000405367 }, "communicator.exchange": { "total": 0.04835310999999365, "count": 1, "is_parallel": true, "self": 0.04835310999999365 }, "steps_from_proto": { "total": 0.001946635999956925, "count": 1, "is_parallel": true, "self": 0.0003885129998479897, "children": { "_process_rank_one_or_two_observation": { "total": 0.0015581230001089352, "count": 8, "is_parallel": true, "self": 0.0015581230001089352 } } } } } } }, "UnityEnvironment.step": { "total": 4367.976591807806, "count": 194036, "is_parallel": true, "self": 104.49015878964565, "children": { "UnityEnvironment._generate_step_input": { "total": 76.59239168000659, "count": 194036, "is_parallel": true, "self": 76.59239168000659 }, "communicator.exchange": { "total": 3878.2163948711886, "count": 194036, "is_parallel": true, "self": 3878.2163948711886 }, "steps_from_proto": { "total": 308.67764646696446, "count": 194036, "is_parallel": true, "self": 63.063819836330936, "children": { "_process_rank_one_or_two_observation": { "total": 245.61382663063353, "count": 1552288, "is_parallel": true, "self": 245.61382663063353 } } } } } } } } } } }, "trainer_advance": { "total": 1526.4787405268444, "count": 194037, "self": 8.300756505722347, "children": { "process_trajectory": { "total": 384.3061853591312, "count": 194037, "self": 383.27077805013187, "children": { "RLTrainer._checkpoint": { "total": 1.0354073089993108, "count": 6, "self": 1.0354073089993108 } } }, "_update_policy": { "total": 1133.8717986619909, "count": 1401, "self": 771.6201021579741, "children": { "TorchPPOOptimizer.update": { "total": 362.25169650401676, "count": 33972, "self": 362.25169650401676 } } } } } } }, "trainer_threads": { "total": 1.1470001481939107e-06, "count": 1, "self": 1.1470001481939107e-06 }, "TrainerController._save_models": { "total": 0.19453471999986505, "count": 1, "self": 0.007809609999640088, "children": { "RLTrainer._checkpoint": { "total": 0.18672511000022496, "count": 1, "self": 0.18672511000022496 } } } } } } }