{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.4630157947540283, "min": 0.4630157947540283, "max": 1.4419184923171997, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 13986.78125, "min": 13791.017578125, "max": 43742.0390625, "count": 33 }, "Pyramids.Step.mean": { "value": 989936.0, "min": 29952.0, "max": 989936.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989936.0, "min": 29952.0, "max": 989936.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.5749961137771606, "min": -0.2187630981206894, "max": 0.6283597946166992, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 160.42391967773438, "min": -51.84685516357422, "max": 174.0556640625, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": 0.0021024742163717747, "min": -0.027536729350686073, "max": 0.2831006944179535, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": 0.5865902900695801, "min": -7.737821102142334, "max": 67.09486389160156, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.0673140517363684, "min": 0.0649843429793579, "max": 0.0733946210034781, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 1.009710776045526, "min": 0.47664150851377257, "max": 1.1000767868439045, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.015053894966757048, "min": 0.0002415041919079904, "max": 0.018734257376525506, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.22580842450135571, "min": 0.0028980503028958847, "max": 0.2622796032713571, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.540617486493334e-06, "min": 7.540617486493334e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00011310926229740002, "min": 0.00011310926229740002, "max": 0.0035080481306506996, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10251350666666668, "min": 0.10251350666666668, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.5377026000000003, "min": 1.3886848, "max": 2.5693493000000003, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.0002610993160000001, "min": 0.0002610993160000001, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.003916489740000001, "min": 0.003916489740000001, "max": 0.11695799507000001, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.008719777688384056, "min": 0.008682888932526112, "max": 0.4699053466320038, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.1307966709136963, "min": 0.12156044691801071, "max": 3.289337396621704, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 324.6263736263736, "min": 317.5, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29541.0, "min": 15984.0, "max": 32589.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.5874329490157275, "min": -1.0000000521540642, "max": 1.6783110954695277, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 144.4563983604312, "min": -29.892401665449142, "max": 155.51819874346256, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.5874329490157275, "min": -1.0000000521540642, "max": 1.6783110954695277, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 144.4563983604312, "min": -29.892401665449142, "max": 155.51819874346256, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.02916793167129911, "min": 0.028443337949890218, "max": 10.004269925877452, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.654281782088219, "min": 2.654281782088219, "max": 160.06831881403923, "count": 33 }, "Pyramids.IsTraining.mean": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 33 }, "Pyramids.IsTraining.sum": { "value": 1.0, "min": 1.0, "max": 1.0, "count": 33 } }, "metadata": { "timer_format_version": "0.1.0", "start_time_seconds": "1683732281", "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": "1683734502" }, "total": 2221.538925906, "count": 1, "self": 1.146305193999524, "children": { "run_training.setup": { "total": 0.03776359699986642, "count": 1, "self": 0.03776359699986642 }, "TrainerController.start_learning": { "total": 2220.3548571150004, "count": 1, "self": 1.2302630120138929, "children": { "TrainerController._reset_env": { "total": 4.3441247400000975, "count": 1, "self": 4.3441247400000975 }, "TrainerController.advance": { "total": 2214.645331082986, "count": 63934, "self": 1.2724304910097999, "children": { "env_step": { "total": 1592.2250474039915, "count": 63934, "self": 1487.5683920021092, "children": { "SubprocessEnvManager._take_step": { "total": 103.88278873892796, "count": 63934, "self": 4.6611831277764395, "children": { "TorchPolicy.evaluate": { "total": 99.22160561115152, "count": 62560, "self": 99.22160561115152 } } }, "workers": { "total": 0.7738666629543332, "count": 63934, "self": 0.0, "children": { "worker_root": { "total": 2215.271935214035, "count": 63934, "is_parallel": true, "self": 836.9961070870754, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0017853259996627457, "count": 1, "is_parallel": true, "self": 0.0005540049992305285, "children": { "_process_rank_one_or_two_observation": { "total": 0.0012313210004322173, "count": 8, "is_parallel": true, "self": 0.0012313210004322173 } } }, "UnityEnvironment.step": { "total": 0.07603387199969802, "count": 1, "is_parallel": true, "self": 0.0005278839998936746, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0004643859997486288, "count": 1, "is_parallel": true, "self": 0.0004643859997486288 }, "communicator.exchange": { "total": 0.07328845299980458, "count": 1, "is_parallel": true, "self": 0.07328845299980458 }, "steps_from_proto": { "total": 0.0017531490002511418, "count": 1, "is_parallel": true, "self": 0.0003385030004210421, "children": { "_process_rank_one_or_two_observation": { "total": 0.0014146459998300998, "count": 8, "is_parallel": true, "self": 0.0014146459998300998 } } } } } } }, "UnityEnvironment.step": { "total": 1378.2758281269594, "count": 63933, "is_parallel": true, "self": 30.948991695123368, "children": { "UnityEnvironment._generate_step_input": { "total": 21.97672127792339, "count": 63933, "is_parallel": true, "self": 21.97672127792339 }, "communicator.exchange": { "total": 1230.419165196839, "count": 63933, "is_parallel": true, "self": 1230.419165196839 }, "steps_from_proto": { "total": 94.93094995707361, "count": 63933, "is_parallel": true, "self": 19.272951226313126, "children": { "_process_rank_one_or_two_observation": { "total": 75.65799873076048, "count": 511464, "is_parallel": true, "self": 75.65799873076048 } } } } } } } } } } }, "trainer_advance": { "total": 621.1478531879848, "count": 63934, "self": 2.381411969041892, "children": { "process_trajectory": { "total": 105.61841562294057, "count": 63934, "self": 105.36049167594001, "children": { "RLTrainer._checkpoint": { "total": 0.2579239470005632, "count": 2, "self": 0.2579239470005632 } } }, "_update_policy": { "total": 513.1480255960023, "count": 447, "self": 328.57302488897403, "children": { "TorchPPOOptimizer.update": { "total": 184.57500070702827, "count": 22791, "self": 184.57500070702827 } } } } } } }, "trainer_threads": { "total": 1.139000232797116e-06, "count": 1, "self": 1.139000232797116e-06 }, "TrainerController._save_models": { "total": 0.13513714100008656, "count": 1, "self": 0.0019622149993665516, "children": { "RLTrainer._checkpoint": { "total": 0.13317492600072, "count": 1, "self": 0.13317492600072 } } } } } } }