{ "name": "root", "gauges": { "SnowballTarget.Policy.Entropy.mean": { "value": 0.8277919888496399, "min": 0.8277547955513, "max": 2.8712565898895264, "count": 20 }, "SnowballTarget.Policy.Entropy.sum": { "value": 8450.1005859375, "min": 7939.82421875, "max": 29309.787109375, "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": 4.29077672958374, "min": 0.31552404165267944, "max": 4.355674743652344, "count": 20 }, "SnowballTarget.Policy.ExtrinsicValueEstimate.sum": { "value": 836.7014770507812, "min": 60.58061599731445, "max": 888.5576171875, "count": 20 }, "SnowballTarget.Losses.PolicyLoss.mean": { "value": 0.0693463364230268, "min": 0.06469077863335305, "max": 0.07356309917568248, "count": 20 }, "SnowballTarget.Losses.PolicyLoss.sum": { "value": 0.2773853456921072, "min": 0.2587631145334122, "max": 0.36704627149818264, "count": 20 }, "SnowballTarget.Losses.ValueLoss.mean": { "value": 0.16505869927213473, "min": 0.0985764165331299, "max": 0.21109246374929652, "count": 20 }, "SnowballTarget.Losses.ValueLoss.sum": { "value": 0.6602347970885389, "min": 0.3943056661325196, "max": 0.9788764119148254, "count": 20 }, "SnowballTarget.Policy.LearningRate.mean": { "value": 7.890097370000006e-06, "min": 7.890097370000006e-06, "max": 0.00029169000276999994, "count": 20 }, "SnowballTarget.Policy.LearningRate.sum": { "value": 3.1560389480000026e-05, "min": 3.1560389480000026e-05, "max": 0.0013842000385999999, "count": 20 }, "SnowballTarget.Policy.Epsilon.mean": { "value": 0.10263000000000001, "min": 0.10263000000000001, "max": 0.19723000000000002, "count": 20 }, "SnowballTarget.Policy.Epsilon.sum": { "value": 0.41052000000000005, "min": 0.41052000000000005, "max": 0.9614, "count": 20 }, "SnowballTarget.Policy.Beta.mean": { "value": 0.00014123700000000008, "min": 0.00014123700000000008, "max": 0.004861776999999999, "count": 20 }, "SnowballTarget.Policy.Beta.sum": { "value": 0.0005649480000000003, "min": 0.0005649480000000003, "max": 0.023073859999999995, "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": 25.0, "min": 3.4318181818181817, "max": 25.527272727272727, "count": 20 }, "SnowballTarget.Environment.CumulativeReward.sum": { "value": 1100.0, "min": 151.0, "max": 1404.0, "count": 20 }, "SnowballTarget.Policy.ExtrinsicReward.mean": { "value": 25.0, "min": 3.4318181818181817, "max": 25.527272727272727, "count": 20 }, "SnowballTarget.Policy.ExtrinsicReward.sum": { "value": 1100.0, "min": 151.0, "max": 1404.0, "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": "1733341435", "python_version": "3.10.12 (main, Nov 6 2024, 20:22:13) [GCC 11.4.0]", "command_line_arguments": "/usr/local/bin/mlagents-learn --resume ./ml-agents/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": "2.5.1+cu121", "numpy_version": "1.23.5", "end_time_seconds": "1733341873" }, "total": 437.99645615400004, "count": 1, "self": 0.39147809399992184, "children": { "run_training.setup": { "total": 0.0674715400000423, "count": 1, "self": 0.0674715400000423 }, "TrainerController.start_learning": { "total": 437.5375065200001, "count": 1, "self": 0.35635906803781836, "children": { "TrainerController._reset_env": { "total": 2.0669090910000705, "count": 1, "self": 2.0669090910000705 }, "TrainerController.advance": { "total": 435.027342140962, "count": 18192, "self": 0.3621815499454897, "children": { "env_step": { "total": 307.13186036700336, "count": 18192, "self": 233.35074481803758, "children": { "SubprocessEnvManager._take_step": { "total": 73.56203923299654, "count": 18192, "self": 1.2821836470302514, "children": { "TorchPolicy.evaluate": { "total": 72.27985558596629, "count": 18192, "self": 72.27985558596629 } } }, "workers": { "total": 0.21907631596923238, "count": 18192, "self": 0.0, "children": { "worker_root": { "total": 436.2005918790278, "count": 18192, "is_parallel": true, "self": 231.80332731300177, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0021426050002446573, "count": 1, "is_parallel": true, "self": 0.0006750170005034306, "children": { "_process_rank_one_or_two_observation": { "total": 0.0014675879997412267, "count": 10, "is_parallel": true, "self": 0.0014675879997412267 } } }, "UnityEnvironment.step": { "total": 0.0812143200000719, "count": 1, "is_parallel": true, "self": 0.0006550210000568768, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00040514800002711127, "count": 1, "is_parallel": true, "self": 0.00040514800002711127 }, "communicator.exchange": { "total": 0.07806328200013013, "count": 1, "is_parallel": true, "self": 0.07806328200013013 }, "steps_from_proto": { "total": 0.0020908689998577756, "count": 1, "is_parallel": true, "self": 0.00038336600073307636, "children": { "_process_rank_one_or_two_observation": { "total": 0.0017075029991246993, "count": 10, "is_parallel": true, "self": 0.0017075029991246993 } } } } } } }, "UnityEnvironment.step": { "total": 204.39726456602602, "count": 18191, "is_parallel": true, "self": 10.016303909009366, "children": { "UnityEnvironment._generate_step_input": { "total": 5.449955834039429, "count": 18191, "is_parallel": true, "self": 5.449955834039429 }, "communicator.exchange": { "total": 155.5601601059907, "count": 18191, "is_parallel": true, "self": 155.5601601059907 }, "steps_from_proto": { "total": 33.37084471698654, "count": 18191, "is_parallel": true, "self": 6.063213151920536, "children": { "_process_rank_one_or_two_observation": { "total": 27.307631565066004, "count": 181910, "is_parallel": true, "self": 27.307631565066004 } } } } } } } } } } }, "trainer_advance": { "total": 127.53330022401315, "count": 18192, "self": 0.42967916102179515, "children": { "process_trajectory": { "total": 28.887163765989953, "count": 18192, "self": 28.4983937069901, "children": { "RLTrainer._checkpoint": { "total": 0.38877005899985306, "count": 4, "self": 0.38877005899985306 } } }, "_update_policy": { "total": 98.2164572970014, "count": 90, "self": 39.23939108801051, "children": { "TorchPPOOptimizer.update": { "total": 58.97706620899089, "count": 4587, "self": 58.97706620899089 } } } } } } }, "trainer_threads": { "total": 1.0250000741507392e-06, "count": 1, "self": 1.0250000741507392e-06 }, "TrainerController._save_models": { "total": 0.08689519500012466, "count": 1, "self": 0.000848307000069326, "children": { "RLTrainer._checkpoint": { "total": 0.08604688800005533, "count": 1, "self": 0.08604688800005533 } } } } } } }