{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.3410964012145996, "min": 0.3410964012145996, "max": 1.418026089668274, "count": 37 }, "Pyramids.Policy.Entropy.sum": { "value": 10140.1142578125, "min": 10140.1142578125, "max": 43017.23828125, "count": 37 }, "Pyramids.Step.mean": { "value": 1109876.0, "min": 29952.0, "max": 1109876.0, "count": 37 }, "Pyramids.Step.sum": { "value": 1109876.0, "min": 29952.0, "max": 1109876.0, "count": 37 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.5330937504768372, "min": -0.11661066114902496, "max": 0.5860244631767273, "count": 37 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 147.13388061523438, "min": -28.21977996826172, "max": 163.50082397460938, "count": 37 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.0137894656509161, "min": -0.011680372059345245, "max": 0.3022136092185974, "count": 37 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 3.8058924674987793, "min": -3.188741445541382, "max": 72.53126525878906, "count": 37 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06856451607438632, "min": 0.06532412811454076, "max": 0.07538307401201953, "count": 37 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 1.0284677411157948, "min": 0.4799661327356837, "max": 1.0553630361682735, "count": 37 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.017097013458260334, "min": 0.0005752700689231311, "max": 0.017097013458260334, "count": 37 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.256455201873905, "min": 0.005556170241535496, "max": 0.256455201873905, "count": 37 }, "Pyramids.Policy.LearningRate.mean": { "value": 8.100039299989333e-05, "min": 8.100039299989333e-05, "max": 0.00029676708679192377, "count": 37 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.0012150058949984, "min": 0.0012150058949984, "max": 0.0038227867257378, "count": 37 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.1270001066666667, "min": 0.1270001066666667, "max": 0.19892236190476195, "count": 37 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.9050016000000003, "min": 1.3794090666666667, "max": 2.7150253333333336, "count": 37 }, "Pyramids.Policy.Beta.mean": { "value": 0.0027073106560000005, "min": 0.0027073106560000005, "max": 0.009892343954285714, "count": 37 }, "Pyramids.Policy.Beta.sum": { "value": 0.040609659840000006, "min": 0.040609659840000006, "max": 0.12743879378, "count": 37 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.008863682858645916, "min": 0.008378814905881882, "max": 0.5857936143875122, "count": 37 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.13295523822307587, "min": 0.12021433562040329, "max": 4.100555419921875, "count": 37 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 326.3804347826087, "min": 311.1136363636364, "max": 999.0, "count": 37 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30027.0, "min": 15984.0, "max": 32584.0, "count": 37 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.4996586774030458, "min": -1.0000000521540642, "max": 1.6262666512837356, "count": 37 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 137.9685983210802, "min": -32.000001668930054, "max": 141.485198661685, "count": 37 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.4996586774030458, "min": -1.0000000521540642, "max": 1.6262666512837356, "count": 37 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 137.9685983210802, "min": -32.000001668930054, "max": 141.485198661685, "count": 37 }, "Pyramids.Policy.RndReward.mean": { "value": 0.030218124058908714, "min": 0.02747859634728647, "max": 12.479123975150287, "count": 37 }, "Pyramids.Policy.RndReward.sum": { "value": 2.7800674134196015, "min": 2.390637882213923, "max": 199.6659836024046, "count": 37 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 37 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 37 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1684743375", "python_version": "3.10.11 (main, Apr 5 2023, 14:15:10) [GCC 9.4.0]", "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", "mlagents_version": "0.31.0.dev0", "mlagents_envs_version": "0.31.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "1.11.0+cu102", "numpy_version": "1.21.2", "end_time_seconds": "1684746121" }, "total": 2746.0989240340004, "count": 1, "self": 0.8587743580001188, "children": { "run_training.setup": { "total": 0.03641991299991787, "count": 1, "self": 0.03641991299991787 }, "TrainerController.start_learning": { "total": 2745.2037297630004, "count": 1, "self": 1.887164998028311, "children": { "TrainerController._reset_env": { "total": 4.454926328000056, "count": 1, "self": 4.454926328000056 }, "TrainerController.advance": { "total": 2738.5262926849723, "count": 72541, "self": 1.8485816899878955, "children": { "env_step": { "total": 1980.1429021140018, "count": 72541, "self": 1836.1817931670691, "children": { "SubprocessEnvManager._take_step": { "total": 142.84616015798088, "count": 72541, "self": 6.112379635981824, "children": { "TorchPolicy.evaluate": { "total": 136.73378052199905, "count": 71027, "self": 136.73378052199905 } } }, "workers": { "total": 1.1149487889517786, "count": 72540, "self": 0.0, "children": { "worker_root": { "total": 2738.1276783289536, "count": 72540, "is_parallel": true, "self": 1048.755615843943, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0018949119998978858, "count": 1, "is_parallel": true, "self": 0.0006021640001563355, "children": { "_process_rank_one_or_two_observation": { "total": 0.0012927479997415503, "count": 8, "is_parallel": true, "self": 0.0012927479997415503 } } }, "UnityEnvironment.step": { "total": 0.08471364499996525, "count": 1, "is_parallel": true, "self": 0.0008068949998687458, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005532090001452161, "count": 1, "is_parallel": true, "self": 0.0005532090001452161 }, "communicator.exchange": { "total": 0.08117343799995069, "count": 1, "is_parallel": true, "self": 0.08117343799995069 }, "steps_from_proto": { "total": 0.0021801030000005994, "count": 1, "is_parallel": true, "self": 0.00047861700022622244, "children": { "_process_rank_one_or_two_observation": { "total": 0.001701485999774377, "count": 8, "is_parallel": true, "self": 0.001701485999774377 } } } } } } }, "UnityEnvironment.step": { "total": 1689.3720624850107, "count": 72539, "is_parallel": true, "self": 38.87596173010115, "children": { "UnityEnvironment._generate_step_input": { "total": 29.64103448994433, "count": 72539, "is_parallel": true, "self": 29.64103448994433 }, "communicator.exchange": { "total": 1493.5881846609882, "count": 72539, "is_parallel": true, "self": 1493.5881846609882 }, "steps_from_proto": { "total": 127.26688160397703, "count": 72539, "is_parallel": true, "self": 26.87443203315047, "children": { "_process_rank_one_or_two_observation": { "total": 100.39244957082656, "count": 580312, "is_parallel": true, "self": 100.39244957082656 } } } } } } } } } } }, "trainer_advance": { "total": 756.5348088809824, "count": 72540, "self": 3.513495315062528, "children": { "process_trajectory": { "total": 135.46897442192426, "count": 72540, "self": 135.19047052992414, "children": { "RLTrainer._checkpoint": { "total": 0.27850389200011705, "count": 2, "self": 0.27850389200011705 } } }, "_update_policy": { "total": 617.5523391439956, "count": 514, "self": 397.3331162459597, "children": { "TorchPPOOptimizer.update": { "total": 220.21922289803592, "count": 25899, "self": 220.21922289803592 } } } } } } }, "trainer_threads": { "total": 1.708000127109699e-06, "count": 1, "self": 1.708000127109699e-06 }, "TrainerController._save_models": { "total": 0.33534404399961204, "count": 1, "self": 0.0029410389997792663, "children": { "RLTrainer._checkpoint": { "total": 0.3324030049998328, "count": 1, "self": 0.3324030049998328 } } } } } } }