{ "name": "root", "gauges": { "Pyramids.Policy.Entropy.mean": { "value": 0.3852304518222809, "min": 0.3852304518222809, "max": 1.4606144428253174, "count": 33 }, "Pyramids.Policy.Entropy.sum": { "value": 11575.404296875, "min": 11575.404296875, "max": 44309.19921875, "count": 33 }, "Pyramids.Step.mean": { "value": 989973.0, "min": 29952.0, "max": 989973.0, "count": 33 }, "Pyramids.Step.sum": { "value": 989973.0, "min": 29952.0, "max": 989973.0, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.mean": { "value": 0.5869263410568237, "min": -0.08284033089876175, "max": 0.6566648483276367, "count": 33 }, "Pyramids.Policy.ExtrinsicValueEstimate.sum": { "value": 169.6217041015625, "min": -19.964519500732422, "max": 189.11947631835938, "count": 33 }, "Pyramids.Policy.RndValueEstimate.mean": { "value": -0.013054704293608665, "min": -0.04121285304427147, "max": 0.2007797360420227, "count": 33 }, "Pyramids.Policy.RndValueEstimate.sum": { "value": -3.7728095054626465, "min": -10.50927734375, "max": 48.387916564941406, "count": 33 }, "Pyramids.Losses.PolicyLoss.mean": { "value": 0.06841490736006366, "min": 0.06553651568248635, "max": 0.07437448282281708, "count": 33 }, "Pyramids.Losses.PolicyLoss.sum": { "value": 0.9578087030408913, "min": 0.49738821889716733, "max": 1.0601679395573833, "count": 33 }, "Pyramids.Losses.ValueLoss.mean": { "value": 0.017237641335719693, "min": 0.00100124348898982, "max": 0.017237641335719693, "count": 33 }, "Pyramids.Losses.ValueLoss.sum": { "value": 0.24132697870007572, "min": 0.014017408845857478, "max": 0.24132697870007572, "count": 33 }, "Pyramids.Policy.LearningRate.mean": { "value": 7.620033174307142e-06, "min": 7.620033174307142e-06, "max": 0.00029515063018788575, "count": 33 }, "Pyramids.Policy.LearningRate.sum": { "value": 0.00010668046444029998, "min": 0.00010668046444029998, "max": 0.0036331414889529006, "count": 33 }, "Pyramids.Policy.Epsilon.mean": { "value": 0.10253997857142856, "min": 0.10253997857142856, "max": 0.19838354285714285, "count": 33 }, "Pyramids.Policy.Epsilon.sum": { "value": 1.4355596999999998, "min": 1.3886848, "max": 2.6110471000000004, "count": 33 }, "Pyramids.Policy.Beta.mean": { "value": 0.00026374385928571424, "min": 0.00026374385928571424, "max": 0.00983851593142857, "count": 33 }, "Pyramids.Policy.Beta.sum": { "value": 0.0036924140299999996, "min": 0.0036924140299999996, "max": 0.12112360529, "count": 33 }, "Pyramids.Losses.RNDLoss.mean": { "value": 0.00859097670763731, "min": 0.00859097670763731, "max": 0.3061388432979584, "count": 33 }, "Pyramids.Losses.RNDLoss.sum": { "value": 0.12027367949485779, "min": 0.12027367949485779, "max": 2.142971992492676, "count": 33 }, "Pyramids.Environment.EpisodeLength.mean": { "value": 295.2970297029703, "min": 295.2970297029703, "max": 999.0, "count": 33 }, "Pyramids.Environment.EpisodeLength.sum": { "value": 29825.0, "min": 15984.0, "max": 33239.0, "count": 33 }, "Pyramids.Environment.CumulativeReward.mean": { "value": 1.645279192393369, "min": -1.0000000521540642, "max": 1.645279192393369, "count": 33 }, "Pyramids.Environment.CumulativeReward.sum": { "value": 166.17319843173027, "min": -28.33660177886486, "max": 170.0087983161211, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.mean": { "value": 1.645279192393369, "min": -1.0000000521540642, "max": 1.645279192393369, "count": 33 }, "Pyramids.Policy.ExtrinsicReward.sum": { "value": 166.17319843173027, "min": -28.33660177886486, "max": 170.0087983161211, "count": 33 }, "Pyramids.Policy.RndReward.mean": { "value": 0.026370829146826237, "min": 0.026370829146826237, "max": 5.724514028057456, "count": 33 }, "Pyramids.Policy.RndReward.sum": { "value": 2.66345374382945, "min": 2.5514876203378662, "max": 91.5922244489193, "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": "1754746609", "python_version": "3.10.12 (main, Jul 5 2023, 18:54:27) [GCC 11.2.0]", "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": "1.2.0.dev0", "mlagents_envs_version": "1.2.0.dev0", "communication_protocol_version": "1.5.0", "pytorch_version": "2.8.0+cu128", "numpy_version": "1.23.5", "end_time_seconds": "1754748857" }, "total": 2247.657674489, "count": 1, "self": 0.5364791360002528, "children": { "run_training.setup": { "total": 0.028191187999709655, "count": 1, "self": 0.028191187999709655 }, "TrainerController.start_learning": { "total": 2247.093004165, "count": 1, "self": 1.3494095689247843, "children": { "TrainerController._reset_env": { "total": 2.41113845100017, "count": 1, "self": 2.41113845100017 }, "TrainerController.advance": { "total": 2243.2554503740753, "count": 64096, "self": 1.372382891057896, "children": { "env_step": { "total": 1591.0616079739766, "count": 64096, "self": 1443.7362951998698, "children": { "SubprocessEnvManager._take_step": { "total": 146.5024546640534, "count": 64096, "self": 4.53101906701886, "children": { "TorchPolicy.evaluate": { "total": 141.97143559703454, "count": 62557, "self": 141.97143559703454 } } }, "workers": { "total": 0.8228581100534029, "count": 64096, "self": 0.0, "children": { "worker_root": { "total": 2242.055981248899, "count": 64096, "is_parallel": true, "self": 910.311038662905, "children": { "run_training.setup": { "total": 0.0, "count": 0, "is_parallel": true, "self": 0.0, "children": { "steps_from_proto": { "total": 0.0027050159997088485, "count": 1, "is_parallel": true, "self": 0.0008549729991500499, "children": { "_process_rank_one_or_two_observation": { "total": 0.0018500430005587987, "count": 8, "is_parallel": true, "self": 0.0018500430005587987 } } }, "UnityEnvironment.step": { "total": 0.05600612899979751, "count": 1, "is_parallel": true, "self": 0.0005214049997448456, "children": { "UnityEnvironment._generate_step_input": { "total": 0.0005033670004195301, "count": 1, "is_parallel": true, "self": 0.0005033670004195301 }, "communicator.exchange": { "total": 0.053402462999656564, "count": 1, "is_parallel": true, "self": 0.053402462999656564 }, "steps_from_proto": { "total": 0.0015788939999765716, "count": 1, "is_parallel": true, "self": 0.0003272650005783362, "children": { "_process_rank_one_or_two_observation": { "total": 0.0012516289993982355, "count": 8, "is_parallel": true, "self": 0.0012516289993982355 } } } } } } }, "UnityEnvironment.step": { "total": 1331.744942585994, "count": 64095, "is_parallel": true, "self": 31.381076652019146, "children": { "UnityEnvironment._generate_step_input": { "total": 22.22864351604494, "count": 64095, "is_parallel": true, "self": 22.22864351604494 }, "communicator.exchange": { "total": 1183.1714314359547, "count": 64095, "is_parallel": true, "self": 1183.1714314359547 }, "steps_from_proto": { "total": 94.96379098197531, "count": 64095, "is_parallel": true, "self": 19.17478716692176, "children": { "_process_rank_one_or_two_observation": { "total": 75.78900381505355, "count": 512760, "is_parallel": true, "self": 75.78900381505355 } } } } } } } } } } }, "trainer_advance": { "total": 650.8214595090408, "count": 64096, "self": 2.5597475231288627, "children": { "process_trajectory": { "total": 125.56474509291138, "count": 64096, "self": 125.36387383691226, "children": { "RLTrainer._checkpoint": { "total": 0.20087125599911815, "count": 2, "self": 0.20087125599911815 } } }, "_update_policy": { "total": 522.6969668930005, "count": 457, "self": 289.9328444800517, "children": { "TorchPPOOptimizer.update": { "total": 232.76412241294884, "count": 22800, "self": 232.76412241294884 } } } } } } }, "trainer_threads": { "total": 8.859997251420282e-07, "count": 1, "self": 8.859997251420282e-07 }, "TrainerController._save_models": { "total": 0.07700488499995117, "count": 1, "self": 0.0012432080002326984, "children": { "RLTrainer._checkpoint": { "total": 0.07576167699971847, "count": 1, "self": 0.07576167699971847 } } } } } } }