{ "name": "root", "gauges": { "SnowballTarget.Policy.Entropy.mean": { "value": 0.9476588368415833, "min": 0.9473971128463745, "max": 2.827476739883423, "count": 20 }, "SnowballTarget.Policy.Entropy.sum": { "value": 9006.5498046875, "min": 9006.5498046875, "max": 28862.8828125, "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": 12.02534008026123, "min": 0.4024864137172699, "max": 12.02534008026123, "count": 20 }, "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { "value": 2344.94140625, "min": 78.08236694335938, "max": 2424.51904296875, "count": 20 }, "SnowballTarget.Losses.PolicyLoss.mean": { "value": 0.06732845620678621, "min": 0.060337600276826005, "max": 0.07665276413243584, "count": 20 }, "SnowballTarget.Losses.PolicyLoss.sum": { "value": 0.26931382482714483, "min": 0.24135040110730402, "max": 0.36281541069083867, "count": 20 }, "SnowballTarget.Losses.ValueLoss.mean": { "value": 0.20387081758064382, "min": 0.1358710084961928, "max": 0.27533313785405716, "count": 20 }, "SnowballTarget.Losses.ValueLoss.sum": { "value": 0.8154832703225753, "min": 0.5434840339847712, "max": 1.2907533081723195, "count": 20 }, "SnowballTarget.Policy.LearningRate.mean": { "value": 8.082097306000005e-06, "min": 8.082097306000005e-06, "max": 0.000291882002706, "count": 20 }, "SnowballTarget.Policy.LearningRate.sum": { "value": 3.232838922400002e-05, "min": 3.232838922400002e-05, "max": 0.00138516003828, "count": 20 }, "SnowballTarget.Policy.Epsilon.mean": { "value": 0.10269400000000001, "min": 0.10269400000000001, "max": 0.19729400000000002, "count": 20 }, "SnowballTarget.Policy.Epsilon.sum": { "value": 0.41077600000000003, "min": 0.41077600000000003, "max": 0.96172, "count": 20 }, "SnowballTarget.Policy.Beta.mean": { "value": 0.0001444306000000001, "min": 0.0001444306000000001, "max": 0.0048649706, "count": 20 }, "SnowballTarget.Policy.Beta.sum": { "value": 0.0005777224000000004, "min": 0.0005777224000000004, "max": 0.023089828, "count": 20 }, "SnowballTarget.Environment.EpisodeLength.mean": { "value": 199.0, "min": 199.0, "max": 199.0, "count": 20 }, "SnowballTarget.Environment.EpisodeLength.sum": { "value": 8756.0, "min": 8756.0, "max": 10945.0, "count": 20 }, "SnowballTarget.Environment.CumulativeReward.mean": { "value": 23.795454545454547, "min": 3.227272727272727, "max": 23.977272727272727, "count": 20 }, "SnowballTarget.Environment.CumulativeReward.sum": { "value": 1047.0, "min": 142.0, "max": 1271.0, "count": 20 }, "SnowballTarget.Policy.ExtrinsicReward.mean": { "value": 23.795454545454547, "min": 3.227272727272727, "max": 23.977272727272727, "count": 20 }, "SnowballTarget.Policy.ExtrinsicReward.sum": { "value": 1047.0, "min": 142.0, "max": 1271.0, "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": "1777974116", "python_version": "3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:40:32) [GCC 12.3.0]", "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/SnowballTarget.yaml --env=./training-envs-executables/linux/SnowballTarget/SnowballTarget --run-id=SnowballTarget1 --no-graphics", "mlagents_version": "1.2.0.dev0", "mlagents_envs_version": "1.2.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.8.0+cu128", "numpy_version": "1.23.5", "end_time_seconds": "1777974591" }, "total": 474.566383847, "count": 1, "self": 0.4834234700001616, "children": { "run_training.setup": { "total": 0.02700582499983284, "count": 1, "self": 0.02700582499983284 }, "TrainerController.start_learning": { "total": 474.055954552, "count": 1, "self": 0.42614270098556517, "children": { "TrainerController._reset_env": { "total": 3.258015984999929, "count": 1, "self": 3.258015984999929 }, "TrainerController.advance": { "total": 470.2912310030147, "count": 18192, "self": 0.43143699002689573, "children": { "env_step": { "total": 342.673843478997, "count": 18192, "self": 265.4326973299717, "children": { "SubprocessEnvManager._take_step": { "total": 76.99555055901897, "count": 18192, "self": 1.3980525890219724, "children": { "TorchPolicy.evaluate": { "total": 75.597497969997, "count": 18192, "self": 75.597497969997 } } }, "workers": { "total": 0.24559559000636, "count": 18192, "self": 0.0, "children": { "worker_root": { "total": 472.2407024960055, "count": 18192, "is_parallel": true, "self": 240.1246171360158, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.004395901999941998, "count": 1, "is_parallel": true, "self": 0.0030559089998405398, "children": { "_process_rank_one_or_two_observation": { "total": 0.0013399930001014582, "count": 10, "is_parallel": true, "self": 0.0013399930001014582 } } }, "UnityEnvironment.step": { "total": 0.0371842160000142, "count": 1, "is_parallel": true, "self": 0.0006975230003263277, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00044638099984695145, "count": 1, "is_parallel": true, "self": 0.00044638099984695145 }, "communicator.exchange": { "total": 0.03368340099996203, "count": 1, "is_parallel": true, "self": 0.03368340099996203 }, "steps_from_proto": { "total": 0.0023569109998788917, "count": 1, "is_parallel": true, "self": 0.00046562699981222977, "children": { "_process_rank_one_or_two_observation": { "total": 0.001891284000066662, "count": 10, "is_parallel": true, "self": 0.001891284000066662 } } } } } } }, "UnityEnvironment.step": { "total": 232.1160853599897, "count": 18191, "is_parallel": true, "self": 10.71805155799916, "children": { "UnityEnvironment._generate_step_input": { "total": 5.796521700990979, "count": 18191, "is_parallel": true, "self": 5.796521700990979 }, "communicator.exchange": { "total": 176.50556602198276, "count": 18191, "is_parallel": true, "self": 176.50556602198276 }, "steps_from_proto": { "total": 39.09594607901681, "count": 18191, "is_parallel": true, "self": 6.961498372000051, "children": { "_process_rank_one_or_two_observation": { "total": 32.13444770701676, "count": 181910, "is_parallel": true, "self": 32.13444770701676 } } } } } } } } } } }, "trainer_advance": { "total": 127.18595053399076, "count": 18192, "self": 0.5425558589888624, "children": { "process_trajectory": { "total": 28.026655043001483, "count": 18192, "self": 27.579495239001517, "children": { "RLTrainer._checkpoint": { "total": 0.44715980399996624, "count": 4, "self": 0.44715980399996624 } } }, "_update_policy": { "total": 98.61673963200042, "count": 90, "self": 40.20500799399542, "children": { "TorchPPOOptimizer.update": { "total": 58.411731638004994, "count": 4587, "self": 58.411731638004994 } } } } } } }, "trainer_threads": { "total": 1.503000021330081e-06, "count": 1, "self": 1.503000021330081e-06 }, "TrainerController._save_models": { "total": 0.08056335999981457, "count": 1, "self": 0.0007189929997366562, "children": { "RLTrainer._checkpoint": { "total": 0.07984436700007791, "count": 1, "self": 0.07984436700007791 } } } } } } }