|
{ |
|
"name": "root", |
|
"gauges": { |
|
"Pyramids.Policy.Entropy.mean": { |
|
"value": 0.4230779707431793, |
|
"min": 0.42147529125213623, |
|
"max": 1.5254312753677368, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Entropy.sum": { |
|
"value": 12787.1083984375, |
|
"min": 12509.38671875, |
|
"max": 46275.484375, |
|
"count": 33 |
|
}, |
|
"Pyramids.Step.mean": { |
|
"value": 989927.0, |
|
"min": 29952.0, |
|
"max": 989927.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Step.sum": { |
|
"value": 989927.0, |
|
"min": 29952.0, |
|
"max": 989927.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.mean": { |
|
"value": 0.4729638993740082, |
|
"min": -0.10377603024244308, |
|
"max": 0.5280724167823792, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicValueEstimate.sum": { |
|
"value": 128.1732177734375, |
|
"min": -25.113800048828125, |
|
"max": 145.74798583984375, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.mean": { |
|
"value": -0.04564893990755081, |
|
"min": -0.04564893990755081, |
|
"max": 0.22620101273059845, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndValueEstimate.sum": { |
|
"value": -12.37086296081543, |
|
"min": -12.37086296081543, |
|
"max": 54.514442443847656, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.mean": { |
|
"value": 0.06945383235708706, |
|
"min": 0.06616144583718479, |
|
"max": 0.07272259248335812, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.PolicyLoss.sum": { |
|
"value": 1.041807485356306, |
|
"min": 0.4925468528868053, |
|
"max": 1.0425383582695242, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.ValueLoss.mean": { |
|
"value": 0.015391864183604614, |
|
"min": 0.0003842888179143174, |
|
"max": 0.015391864183604614, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.ValueLoss.sum": { |
|
"value": 0.23087796275406922, |
|
"min": 0.004995754632886126, |
|
"max": 0.23087796275406922, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.LearningRate.mean": { |
|
"value": 7.489997503366667e-06, |
|
"min": 7.489997503366667e-06, |
|
"max": 0.00029515063018788575, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.LearningRate.sum": { |
|
"value": 0.0001123499625505, |
|
"min": 0.0001123499625505, |
|
"max": 0.0033761851746049996, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Epsilon.mean": { |
|
"value": 0.10249663333333334, |
|
"min": 0.10249663333333334, |
|
"max": 0.19838354285714285, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Epsilon.sum": { |
|
"value": 1.5374495000000001, |
|
"min": 1.3886848, |
|
"max": 2.4439306000000003, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Beta.mean": { |
|
"value": 0.00025941367000000004, |
|
"min": 0.00025941367000000004, |
|
"max": 0.00983851593142857, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.Beta.sum": { |
|
"value": 0.0038912050500000007, |
|
"min": 0.0038912050500000007, |
|
"max": 0.11255696049999998, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.RNDLoss.mean": { |
|
"value": 0.011395227164030075, |
|
"min": 0.011395227164030075, |
|
"max": 0.28998467326164246, |
|
"count": 33 |
|
}, |
|
"Pyramids.Losses.RNDLoss.sum": { |
|
"value": 0.17092840373516083, |
|
"min": 0.16609740257263184, |
|
"max": 2.029892683029175, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.mean": { |
|
"value": 384.65432098765433, |
|
"min": 364.4691358024691, |
|
"max": 999.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.EpisodeLength.sum": { |
|
"value": 31157.0, |
|
"min": 15984.0, |
|
"max": 33416.0, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.mean": { |
|
"value": 1.5165431946516037, |
|
"min": -1.0000000521540642, |
|
"max": 1.6108271394062925, |
|
"count": 33 |
|
}, |
|
"Pyramids.Environment.CumulativeReward.sum": { |
|
"value": 122.8399987667799, |
|
"min": -31.994401663541794, |
|
"max": 130.4769982919097, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.mean": { |
|
"value": 1.5165431946516037, |
|
"min": -1.0000000521540642, |
|
"max": 1.6108271394062925, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.ExtrinsicReward.sum": { |
|
"value": 122.8399987667799, |
|
"min": -31.994401663541794, |
|
"max": 130.4769982919097, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndReward.mean": { |
|
"value": 0.04509838224808329, |
|
"min": 0.04509838224808329, |
|
"max": 5.46549166738987, |
|
"count": 33 |
|
}, |
|
"Pyramids.Policy.RndReward.sum": { |
|
"value": 3.6529689620947465, |
|
"min": 3.615344223449938, |
|
"max": 87.44786667823792, |
|
"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": "1679066778", |
|
"python_version": "3.9.16 (main, Dec 7 2022, 01:11:51) \n[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": "1679068979" |
|
}, |
|
"total": 2201.450342607, |
|
"count": 1, |
|
"self": 0.4808456850005314, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.10520746999964103, |
|
"count": 1, |
|
"self": 0.10520746999964103 |
|
}, |
|
"TrainerController.start_learning": { |
|
"total": 2200.864289452, |
|
"count": 1, |
|
"self": 1.6215892817272106, |
|
"children": { |
|
"TrainerController._reset_env": { |
|
"total": 5.786552279999796, |
|
"count": 1, |
|
"self": 5.786552279999796 |
|
}, |
|
"TrainerController.advance": { |
|
"total": 2193.359693119273, |
|
"count": 63617, |
|
"self": 1.677123789108009, |
|
"children": { |
|
"env_step": { |
|
"total": 1554.9728668789694, |
|
"count": 63617, |
|
"self": 1432.5549379081758, |
|
"children": { |
|
"SubprocessEnvManager._take_step": { |
|
"total": 121.44956789089974, |
|
"count": 63617, |
|
"self": 5.122897880767596, |
|
"children": { |
|
"TorchPolicy.evaluate": { |
|
"total": 116.32667001013215, |
|
"count": 62570, |
|
"self": 116.32667001013215 |
|
} |
|
} |
|
}, |
|
"workers": { |
|
"total": 0.9683610798938389, |
|
"count": 63617, |
|
"self": 0.0, |
|
"children": { |
|
"worker_root": { |
|
"total": 2195.2138734220375, |
|
"count": 63617, |
|
"is_parallel": true, |
|
"self": 891.0899120200133, |
|
"children": { |
|
"run_training.setup": { |
|
"total": 0.0, |
|
"count": 0, |
|
"is_parallel": true, |
|
"self": 0.0, |
|
"children": { |
|
"steps_from_proto": { |
|
"total": 0.0018522609998399275, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0006118069991316588, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0012404540007082687, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0012404540007082687 |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 0.04630823400020745, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0005315100002007966, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 0.0004568089998429059, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.0004568089998429059 |
|
}, |
|
"communicator.exchange": { |
|
"total": 0.04368492699995841, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.04368492699995841 |
|
}, |
|
"steps_from_proto": { |
|
"total": 0.0016349880002053396, |
|
"count": 1, |
|
"is_parallel": true, |
|
"self": 0.00043710200043278746, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 0.0011978859997725522, |
|
"count": 8, |
|
"is_parallel": true, |
|
"self": 0.0011978859997725522 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"UnityEnvironment.step": { |
|
"total": 1304.1239614020242, |
|
"count": 63616, |
|
"is_parallel": true, |
|
"self": 32.39869983703966, |
|
"children": { |
|
"UnityEnvironment._generate_step_input": { |
|
"total": 24.609903433062755, |
|
"count": 63616, |
|
"is_parallel": true, |
|
"self": 24.609903433062755 |
|
}, |
|
"communicator.exchange": { |
|
"total": 1147.2167925740036, |
|
"count": 63616, |
|
"is_parallel": true, |
|
"self": 1147.2167925740036 |
|
}, |
|
"steps_from_proto": { |
|
"total": 99.89856555791812, |
|
"count": 63616, |
|
"is_parallel": true, |
|
"self": 22.18951584902561, |
|
"children": { |
|
"_process_rank_one_or_two_observation": { |
|
"total": 77.70904970889251, |
|
"count": 508928, |
|
"is_parallel": true, |
|
"self": 77.70904970889251 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_advance": { |
|
"total": 636.7097024511954, |
|
"count": 63617, |
|
"self": 3.0650607710940676, |
|
"children": { |
|
"process_trajectory": { |
|
"total": 125.77981974011709, |
|
"count": 63617, |
|
"self": 125.5140645621168, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.26575517800029047, |
|
"count": 2, |
|
"self": 0.26575517800029047 |
|
} |
|
} |
|
}, |
|
"_update_policy": { |
|
"total": 507.86482193998427, |
|
"count": 444, |
|
"self": 321.2221861749831, |
|
"children": { |
|
"TorchPPOOptimizer.update": { |
|
"total": 186.64263576500116, |
|
"count": 22791, |
|
"self": 186.64263576500116 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
}, |
|
"trainer_threads": { |
|
"total": 8.850001904647797e-07, |
|
"count": 1, |
|
"self": 8.850001904647797e-07 |
|
}, |
|
"TrainerController._save_models": { |
|
"total": 0.09645388599983562, |
|
"count": 1, |
|
"self": 0.0014436469991778722, |
|
"children": { |
|
"RLTrainer._checkpoint": { |
|
"total": 0.09501023900065775, |
|
"count": 1, |
|
"self": 0.09501023900065775 |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |
|
} |