{ "name": "root", "gauges": { "SnowballTarget.Policy.Entropy.mean": { "value": 0.888556957244873, "min": 0.888556957244873, "max": 2.871840715408325, "count": 20 }, "SnowballTarget.Policy.Entropy.sum": { "value": 8532.8125, "min": 8532.8125, "max": 30107.91015625, "count": 20 }, "SnowballTarget.Step.mean": { "value": 199984.0, "min": 9952.0, "max": 199984.0, "count": 20 }, "SnowballTarget.Step.sum": { "value": 199984.0, "min": 9952.0, "max": 199984.0, "count": 20 }, "SnowballTarget.Policy.ExtrinsicValueEstimate.mean": { "value": 12.500067710876465, "min": 0.25111350417137146, "max": 12.500067710876465, "count": 20 }, "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { "value": 1262.5068359375, "min": 24.358009338378906, "max": 1262.5068359375, "count": 20 }, "SnowballTarget.Environment.EpisodeLength.mean": { "value": 199.0, "min": 199.0, "max": 199.0, "count": 20 }, "SnowballTarget.Environment.EpisodeLength.sum": { "value": 10945.0, "min": 8756.0, "max": 10945.0, "count": 20 }, "SnowballTarget.Environment.CumulativeReward.mean": { "value": 24.73076923076923, "min": 3.090909090909091, "max": 24.78, "count": 20 }, "SnowballTarget.Environment.CumulativeReward.sum": { "value": 1286.0, "min": 136.0, "max": 1286.0, "count": 20 }, "SnowballTarget.Policy.ExtrinsicReward.mean": { "value": 24.73076923076923, "min": 3.090909090909091, "max": 24.78, "count": 20 }, "SnowballTarget.Policy.ExtrinsicReward.sum": { "value": 1286.0, "min": 136.0, "max": 1286.0, "count": 20 }, "SnowballTarget.Losses.PolicyLoss.mean": { "value": 0.04519401411797238, "min": 0.03867056030770376, "max": 0.05261207670458438, "count": 20 }, "SnowballTarget.Losses.PolicyLoss.sum": { "value": 0.18077605647188952, "min": 0.17242876052235565, "max": 0.2630603835229219, "count": 20 }, "SnowballTarget.Losses.ValueLoss.mean": { "value": 0.21814929678415257, "min": 0.11759456351865083, "max": 0.3107354794628918, "count": 20 }, "SnowballTarget.Losses.ValueLoss.sum": { "value": 0.8725971871366103, "min": 0.4703782540746033, "max": 1.5170512329787016, "count": 20 }, "SnowballTarget.Policy.LearningRate.mean": { "value": 7.950097350000006e-06, "min": 7.950097350000006e-06, "max": 0.00029175000274999995, "count": 20 }, "SnowballTarget.Policy.LearningRate.sum": { "value": 3.1800389400000025e-05, "min": 3.1800389400000025e-05, "max": 0.0013845000385, "count": 20 }, "SnowballTarget.Policy.Epsilon.mean": { "value": 0.10265000000000002, "min": 0.10265000000000002, "max": 0.19725, "count": 20 }, "SnowballTarget.Policy.Epsilon.sum": { "value": 0.4106000000000001, "min": 0.4106000000000001, "max": 0.9615000000000001, "count": 20 }, "SnowballTarget.Policy.Beta.mean": { "value": 0.00014223500000000016, "min": 0.00014223500000000016, "max": 0.004862775, "count": 20 }, "SnowballTarget.Policy.Beta.sum": { "value": 0.0005689400000000006, "min": 0.0005689400000000006, "max": 0.02307885, "count": 20 }, "SnowballTarget.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 20 }, "SnowballTarget.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 20 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1699449983", "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]", "command_line_arguments": "/usr/local/bin/mlagents-learn ./ml-agents/config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics", "mlagents_version": "1.0.0", "mlagents_envs_version": "1.0.0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.1.0+cu118", "numpy_version": "1.21.2", "end_time_seconds": "1699450463" }, "total": 479.707697027, "count": 1, "self": 0.425346088999504, "children": { "run_training.setup": { "total": 0.06556164300036471, "count": 1, "self": 0.06556164300036471 }, "TrainerController.start_learning": { "total": 479.2167892950001, "count": 1, "self": 0.6532978539626129, "children": { "TrainerController._reset_env": { "total": 8.615256814000531, "count": 1, "self": 8.615256814000531 }, "TrainerController.advance": { "total": 469.85905003603784, "count": 18207, "self": 0.3023779990444382, "children": { "env_step": { "total": 469.5566720369934, "count": 18207, "self": 303.9754270190433, "children": { "SubprocessEnvManager._take_step": { "total": 165.26389112997003, "count": 18207, "self": 1.5523088698628271, "children": { "TorchPolicy.evaluate": { "total": 163.7115822601072, "count": 18207, "self": 163.7115822601072 } } }, "workers": { "total": 0.3173538879800617, "count": 18207, "self": 0.0, "children": { "worker_root": { "total": 477.8290221639636, "count": 18207, "is_parallel": true, "self": 222.48757326097075, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0031032939996293862, "count": 1, "is_parallel": true, "self": 0.0008410400023421971, "children": { "_process_rank_one_or_two_observation": { "total": 0.002262253997287189, "count": 10, "is_parallel": true, "self": 0.002262253997287189 } } }, "UnityEnvironment.step": { "total": 0.05100161099926481, "count": 1, "is_parallel": true, "self": 0.0006789339986426057, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0004954369996994501, "count": 1, "is_parallel": true, "self": 0.0004954369996994501 }, "communicator.exchange": { "total": 0.04587444300068455, "count": 1, "is_parallel": true, "self": 0.04587444300068455 }, "steps_from_proto": { "total": 0.003952797000238206, "count": 1, "is_parallel": true, "self": 0.0022496950014101458, "children": { "_process_rank_one_or_two_observation": { "total": 0.0017031019988280605, "count": 10, "is_parallel": true, "self": 0.0017031019988280605 } } } } } } }, "UnityEnvironment.step": { "total": 255.34144890299285, "count": 18206, "is_parallel": true, "self": 10.932669353005622, "children": { "UnityEnvironment._generate_step_input": { "total": 5.646420070000204, "count": 18206, "is_parallel": true, "self": 5.646420070000204 }, "communicator.exchange": { "total": 200.25166170599005, "count": 18206, "is_parallel": true, "self": 200.25166170599005 }, "steps_from_proto": { "total": 38.51069777399698, "count": 18206, "is_parallel": true, "self": 7.328435596942654, "children": { "_process_rank_one_or_two_observation": { "total": 31.182262177054326, "count": 182060, "is_parallel": true, "self": 31.182262177054326 } } } } } } } } } } } } }, "trainer_threads": { "total": 0.00023997999960556626, "count": 1, "self": 0.00023997999960556626, "children": { "thread_root": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "trainer_advance": { "total": 465.71925331695184, "count": 525503, "is_parallel": true, "self": 11.019622140963293, "children": { "process_trajectory": { "total": 273.91614866299005, "count": 525503, "is_parallel": true, "self": 270.3500793949888, "children": { "RLTrainer._checkpoint": { "total": 3.566069268001229, "count": 20, "is_parallel": true, "self": 3.566069268001229 } } }, "_update_policy": { "total": 180.7834825129985, "count": 90, "is_parallel": true, "self": 80.68942564901499, "children": { "TorchPPOOptimizer.update": { "total": 100.0940568639835, "count": 2160, "is_parallel": true, "self": 100.0940568639835 } } } } } } } } }, "TrainerController._save_models": { "total": 0.08894461099953332, "count": 1, "self": 0.0010462589998496696, "children": { "RLTrainer._checkpoint": { "total": 0.08789835199968365, "count": 1, "self": 0.08789835199968365 } } } } } } }