{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.1275058537721634, "min": 0.12055564671754837, "max": 1.4623150825500488, "count": 100 }, "Pyramids.Policy.Entropy.sum": { "value": 3863.9375, "min": 3580.0205078125, "max": 44360.7890625, "count": 100 }, "Pyramids.Step.mean": { "value": 2999992.0, "min": 29996.0, "max": 2999992.0, "count": 100 }, "Pyramids.Step.sum": { "value": 2999992.0, "min": 29996.0, "max": 2999992.0, "count": 100 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.6998583674430847, "min": -0.06114347651600838, "max": 0.8723020553588867, "count": 100 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 205.75836181640625, "min": -14.674434661865234, "max": 261.69061279296875, "count": 100 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.016107860952615738, "min": -0.017617594450712204, "max": 0.38243308663368225, "count": 100 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 4.735711097717285, "min": -4.791985511779785, "max": 91.01907348632812, "count": 100 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06885793464284183, "min": 0.06317883936779774, "max": 0.07548449028884838, "count": 100 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 1.0328690196426276, "min": 0.5163451832429448, "max": 1.0779327518345476, "count": 100 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.013694679365208786, "min": 0.000677118099624016, "max": 0.01715445754450716, "count": 100 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.2054201904781318, "min": 0.009479653394736224, "max": 0.24016240562310023, "count": 100 }, "Pyramids.Policy.LearningRate.mean": { "value": 1.4929728357088865e-06, "min": 1.4929728357088865e-06, "max": 0.00029838354339596195, "count": 100 }, "Pyramids.Policy.LearningRate.sum": { "value": 2.2394592535633297e-05, "min": 2.2394592535633297e-05, "max": 0.004011646062784666, "count": 100 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10049762444444445, "min": 0.10049762444444445, "max": 0.19946118095238097, "count": 100 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.5074643666666667, "min": 1.3962282666666668, "max": 2.8124822666666667, "count": 100 }, "Pyramids.Policy.Beta.mean": { "value": 5.9712681999999925e-05, "min": 5.9712681999999925e-05, "max": 0.009946171977142856, "count": 100 }, "Pyramids.Policy.Beta.sum": { "value": 0.0008956902299999988, "min": 0.0008956902299999988, "max": 0.1337278118, "count": 100 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.008002572692930698, "min": 0.00762457400560379, "max": 0.5965490937232971, "count": 100 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.12003858387470245, "min": 0.10674403607845306, "max": 4.175843715667725, "count": 100 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 255.83333333333334, "min": 206.32167832167832, "max": 995.9310344827586, "count": 100 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 30700.0, "min": 16795.0, "max": 32979.0, "count": 100 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.6274599832793077, "min": -0.9277172941586067, "max": 1.7890735214904827, "count": 100 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 195.29519799351692, "min": -26.903801530599594, "max": 252.1455978229642, "count": 100 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.6274599832793077, "min": -0.9277172941586067, "max": 1.7890735214904827, "count": 100 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 195.29519799351692, "min": -26.903801530599594, "max": 252.1455978229642, "count": 100 }, "Pyramids.Policy.RndReward.mean": { "value": 0.021466122132612023, "min": 0.018882575751275808, "max": 11.62093585729599, "count": 100 }, "Pyramids.Policy.RndReward.sum": { "value": 2.575934655913443, "min": 2.4290211769548478, "max": 197.55590957403183, "count": 100 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 100 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 100 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1717746277", "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", "mlagents_version": "1.1.0.dev0", "mlagents_envs_version": "1.1.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.3.0+cu121", "numpy_version": "1.23.5", "end_time_seconds": "1717753958" }, "total": 7680.571906839999, "count": 1, "self": 0.4984946269996726, "children": { "run_training.setup": { "total": 0.07036302099999148, "count": 1, "self": 0.07036302099999148 }, "TrainerController.start_learning": { "total": 7680.003049192, "count": 1, "self": 4.488885655246122, "children": { "TrainerController._reset_env": { "total": 4.840348274000007, "count": 1, "self": 4.840348274000007 }, "TrainerController.advance": { "total": 7670.583884144755, "count": 195208, "self": 4.566027422592015, "children": { "env_step": { "total": 5665.319849655057, "count": 195208, "self": 5249.494693577157, "children": { "SubprocessEnvManager._take_step": { "total": 413.07185704604535, "count": 195208, "self": 14.732412632202227, "children": { "TorchPolicy.evaluate": { "total": 398.3394444138431, "count": 187563, "self": 398.3394444138431 } } }, "workers": { "total": 2.7532990318550503, "count": 195208, "self": 0.0, "children": { "worker_root": { "total": 7662.198392925113, "count": 195208, "is_parallel": true, "self": 2807.9524025382243, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.007551720000009254, "count": 1, "is_parallel": true, "self": 0.0035574240000073587, "children": { "_process_rank_one_or_two_observation": { "total": 0.003994296000001896, "count": 8, "is_parallel": true, "self": 0.003994296000001896 } } }, "UnityEnvironment.step": { "total": 0.052356160000016416, "count": 1, "is_parallel": true, "self": 0.0006357870000215371, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0004809170000044105, "count": 1, "is_parallel": true, "self": 0.0004809170000044105 }, "communicator.exchange": { "total": 0.049544561000004705, "count": 1, "is_parallel": true, "self": 0.049544561000004705 }, "steps_from_proto": { "total": 0.0016948949999857632, "count": 1, "is_parallel": true, "self": 0.000342662000036853, "children": { "_process_rank_one_or_two_observation": { "total": 0.0013522329999489102, "count": 8, "is_parallel": true, "self": 0.0013522329999489102 } } } } } } }, "UnityEnvironment.step": { "total": 4854.2459903868885, "count": 195207, "is_parallel": true, "self": 106.2768017306571, "children": { "UnityEnvironment._generate_step_input": { "total": 71.16893247094706, "count": 195207, "is_parallel": true, "self": 71.16893247094706 }, "communicator.exchange": { "total": 4375.628440348113, "count": 195207, "is_parallel": true, "self": 4375.628440348113 }, "steps_from_proto": { "total": 301.1718158371715, "count": 195207, "is_parallel": true, "self": 61.99049672068338, "children": { "_process_rank_one_or_two_observation": { "total": 239.1813191164881, "count": 1561656, "is_parallel": true, "self": 239.1813191164881 } } } } } } } } } } }, "trainer_advance": { "total": 2000.6980070671057, "count": 195208, "self": 9.129185914231812, "children": { "process_trajectory": { "total": 415.6658417478768, "count": 195208, "self": 414.906592412877, "children": { "RLTrainer._checkpoint": { "total": 0.7592493349998222, "count": 6, "self": 0.7592493349998222 } } }, "_update_policy": { "total": 1575.902979404997, "count": 1403, "self": 932.4414969050497, "children": { "TorchPPOOptimizer.update": { "total": 643.4614824999474, "count": 68376, "self": 643.4614824999474 } } } } } } }, "trainer_threads": { "total": 1.0869998732232489e-06, "count": 1, "self": 1.0869998732232489e-06 }, "TrainerController._save_models": { "total": 0.0899300309993123, "count": 1, "self": 0.0015448469994225889, "children": { "RLTrainer._checkpoint": { "total": 0.0883851839998897, "count": 1, "self": 0.0883851839998897 } } } } } } }