{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.9556476473808289, "min": 0.9556476473808289, "max": 1.4422943592071533, "count": 3 }, "Pyramids.Policy.Entropy.sum": { "value": 28623.55859375, "min": 28623.55859375, "max": 43753.44140625, "count": 3 }, "Pyramids.Step.mean": { "value": 89874.0, "min": 29947.0, "max": 89874.0, "count": 3 }, "Pyramids.Step.sum": { "value": 89874.0, "min": 29947.0, "max": 89874.0, "count": 3 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": -0.07488056272268295, "min": -0.07488056272268295, "max": 0.1123107448220253, "count": 3 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": -17.97133445739746, "min": -17.97133445739746, "max": 26.617647171020508, "count": 3 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.25155574083328247, "min": 0.25155574083328247, "max": 0.5610938668251038, "count": 3 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 60.37337875366211, "min": 60.37337875366211, "max": 132.979248046875, "count": 3 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.0710034301075805, "min": 0.07016470195710733, "max": 0.07166829964202696, "count": 3 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.7100343010758051, "min": 0.5016780974941888, "max": 0.7718117215281807, "count": 3 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.001017838796200628, "min": 0.0007846690836464002, "max": 0.017596790535433636, "count": 3 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.01017838796200628, "min": 0.008631359920110403, "max": 0.12317753374803546, "count": 3 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.3974075342e-05, "min": 7.3974075342e-05, "max": 0.0002523313016038571, "count": 3 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.0007397407534199999, "min": 0.0007397407534199999, "max": 0.0018188854937050002, "count": 3 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.124658, "min": 0.124658, "max": 0.1841104285714286, "count": 3 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.24658, "min": 1.24658, "max": 1.7062950000000001, "count": 3 }, "Pyramids.Policy.Beta.mean": { "value": 0.0024733342, "min": 0.0024733342, "max": 0.008412631814285714, "count": 3 }, "Pyramids.Policy.Beta.sum": { "value": 0.024733342, "min": 0.024733342, "max": 0.060678870499999996, "count": 3 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.17118653655052185, "min": 0.17118653655052185, "max": 0.7077566981315613, "count": 3 }, "Pyramids.Losses.RNDLoss.sum": { "value": 1.7118654251098633, "min": 1.7118654251098633, "max": 4.954297065734863, "count": 3 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 979.71875, "min": 979.71875, "max": 999.0, "count": 3 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 31351.0, "min": 16746.0, "max": 31968.0, "count": 3 }, "Pyramids.Environment.CumulativeReward.mean": { "value": -0.918168802279979, "min": -0.999962551984936, "max": -0.8683529908166212, "count": 3 }, "Pyramids.Environment.CumulativeReward.sum": { "value": -29.381401672959328, "min": -31.998801663517952, "max": -14.76200084388256, "count": 3 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": -0.918168802279979, "min": -0.999962551984936, "max": -0.8683529908166212, "count": 3 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": -29.381401672959328, "min": -31.998801663517952, "max": -14.76200084388256, "count": 3 }, "Pyramids.Policy.RndReward.mean": { "value": 1.9300726288929582, "min": 1.9300726288929582, "max": 14.233673143036226, "count": 3 }, "Pyramids.Policy.RndReward.sum": { "value": 61.76232412457466, "min": 61.76232412457466, "max": 241.97244343161583, "count": 3 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 3 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 3 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1704477861", "python_version": "3.10.12 (main, Nov 20 2023, 15:14:05) [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": "2.1.2+cu121", "numpy_version": "1.23.5", "end_time_seconds": "1704478166" }, "total": 305.7676713290002, "count": 1, "self": 0.5986219640003583, "children": { "run_training.setup": { "total": 0.0989554739999221, "count": 1, "self": 0.0989554739999221 }, "TrainerController.start_learning": { "total": 305.07009389099994, "count": 1, "self": 0.23151778401279444, "children": { "TrainerController._reset_env": { "total": 4.216463011999622, "count": 1, "self": 4.216463011999622 }, "TrainerController.advance": { "total": 300.5260965539869, "count": 6287, "self": 0.26794113095593275, "children": { "env_step": { "total": 184.0304310240249, "count": 6287, "self": 167.02696551102827, "children": { "SubprocessEnvManager._take_step": { "total": 16.87099482900294, "count": 6287, "self": 0.7223682099997859, "children": { "TorchPolicy.evaluate": { "total": 16.148626619003153, "count": 6279, "self": 16.148626619003153 } } }, "workers": { "total": 0.132470683993688, "count": 6287, "self": 0.0, "children": { "worker_root": { "total": 304.50560149399416, "count": 6287, "is_parallel": true, "self": 154.14383546399404, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.007514500000070257, "count": 1, "is_parallel": true, "self": 0.004867936000209738, "children": { "_process_rank_one_or_two_observation": { "total": 0.0026465639998605184, "count": 8, "is_parallel": true, "self": 0.0026465639998605184 } } }, "UnityEnvironment.step": { "total": 0.06601605700006985, "count": 1, "is_parallel": true, "self": 0.000723966999885306, "children": { "UnityEnvironment._generate_step_input": { "total": 0.00052602100004151, "count": 1, "is_parallel": true, "self": 0.00052602100004151 }, "communicator.exchange": { "total": 0.06277542399993763, "count": 1, "is_parallel": true, "self": 0.06277542399993763 }, "steps_from_proto": { "total": 0.0019906450002054044, "count": 1, "is_parallel": true, "self": 0.0004215439994368353, "children": { "_process_rank_one_or_two_observation": { "total": 0.001569101000768569, "count": 8, "is_parallel": true, "self": 0.001569101000768569 } } } } } } }, "UnityEnvironment.step": { "total": 150.36176603000013, "count": 6286, "is_parallel": true, "self": 4.671901029020319, "children": { "UnityEnvironment._generate_step_input": { "total": 2.76358246400423, "count": 6286, "is_parallel": true, "self": 2.76358246400423 }, "communicator.exchange": { "total": 129.9208846049819, "count": 6286, "is_parallel": true, "self": 129.9208846049819 }, "steps_from_proto": { "total": 13.005397931993684, "count": 6286, "is_parallel": true, "self": 2.858863502987788, "children": { "_process_rank_one_or_two_observation": { "total": 10.146534429005897, "count": 50288, "is_parallel": true, "self": 10.146534429005897 } } } } } } } } } } }, "trainer_advance": { "total": 116.22772439900609, "count": 6287, "self": 0.3249029690041425, "children": { "process_trajectory": { "total": 16.562552188004247, "count": 6287, "self": 16.562552188004247 }, "_update_policy": { "total": 99.3402692419977, "count": 33, "self": 39.61665144399376, "children": { "TorchPPOOptimizer.update": { "total": 59.72361779800394, "count": 2319, "self": 59.72361779800394 } } } } } } }, "trainer_threads": { "total": 1.0430003385408781e-06, "count": 1, "self": 1.0430003385408781e-06 }, "TrainerController._save_models": { "total": 0.09601549800026987, "count": 1, "self": 0.0020089009999537666, "children": { "RLTrainer._checkpoint": { "total": 0.0940065970003161, "count": 1, "self": 0.0940065970003161 } } } } } } }