Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use lesliebinbin/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use lesliebinbin/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="lesliebinbin/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "name": "root", | |
| "gauges": { | |
| "Pyramids.Policy.Entropy.mean": { | |
| "value": 0.2774597406387329, | |
| "min": 0.2774597406387329, | |
| "max": 1.483777403831482, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.Entropy.sum": { | |
| "value": 8337.1103515625, | |
| "min": 8255.3359375, | |
| "max": 45011.87109375, | |
| "count": 33 | |
| }, | |
| "Pyramids.Step.mean": { | |
| "value": 989900.0, | |
| "min": 29952.0, | |
| "max": 989900.0, | |
| "count": 33 | |
| }, | |
| "Pyramids.Step.sum": { | |
| "value": 989900.0, | |
| "min": 29952.0, | |
| "max": 989900.0, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": 0.6007116436958313, | |
| "min": -0.11814187467098236, | |
| "max": 0.6636748313903809, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": 171.20281982421875, | |
| "min": -28.354049682617188, | |
| "max": 191.80203247070312, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.RndValueEstimate.mean": { | |
| "value": 0.012336531654000282, | |
| "min": -0.029433585703372955, | |
| "max": 0.24395015835762024, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.RndValueEstimate.sum": { | |
| "value": 3.51591157913208, | |
| "min": -8.359138488769531, | |
| "max": 58.548038482666016, | |
| "count": 33 | |
| }, | |
| "Pyramids.Losses.PolicyLoss.mean": { | |
| "value": 0.06942741932440027, | |
| "min": 0.0651266560349281, | |
| "max": 0.07444265751206937, | |
| "count": 33 | |
| }, | |
| "Pyramids.Losses.PolicyLoss.sum": { | |
| "value": 0.9719838705416038, | |
| "min": 0.4861666555978069, | |
| "max": 1.1166398626810405, | |
| "count": 33 | |
| }, | |
| "Pyramids.Losses.ValueLoss.mean": { | |
| "value": 0.018676527718268592, | |
| "min": 0.0007435333197436597, | |
| "max": 0.018676527718268592, | |
| "count": 33 | |
| }, | |
| "Pyramids.Losses.ValueLoss.sum": { | |
| "value": 0.2614713880557603, | |
| "min": 0.005204733238205618, | |
| "max": 0.2614713880557603, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.LearningRate.mean": { | |
| "value": 7.34999040717857e-06, | |
| "min": 7.34999040717857e-06, | |
| "max": 0.00029515063018788575, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.LearningRate.sum": { | |
| "value": 0.00010289986570049998, | |
| "min": 0.00010289986570049998, | |
| "max": 0.0036327496890835, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.Epsilon.mean": { | |
| "value": 0.1024499642857143, | |
| "min": 0.1024499642857143, | |
| "max": 0.19838354285714285, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.Epsilon.sum": { | |
| "value": 1.4342995000000003, | |
| "min": 1.3691136000000002, | |
| "max": 2.6109164999999996, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.Beta.mean": { | |
| "value": 0.0002547514321428571, | |
| "min": 0.0002547514321428571, | |
| "max": 0.00983851593142857, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.Beta.sum": { | |
| "value": 0.003566520049999999, | |
| "min": 0.003566520049999999, | |
| "max": 0.12111055835, | |
| "count": 33 | |
| }, | |
| "Pyramids.Losses.RNDLoss.mean": { | |
| "value": 0.01261480338871479, | |
| "min": 0.01261480338871479, | |
| "max": 0.3979341387748718, | |
| "count": 33 | |
| }, | |
| "Pyramids.Losses.RNDLoss.sum": { | |
| "value": 0.17660725116729736, | |
| "min": 0.17660725116729736, | |
| "max": 2.785538911819458, | |
| "count": 33 | |
| }, | |
| "Pyramids.Environment.EpisodeLength.mean": { | |
| "value": 298.2475247524753, | |
| "min": 277.45283018867923, | |
| "max": 999.0, | |
| "count": 33 | |
| }, | |
| "Pyramids.Environment.EpisodeLength.sum": { | |
| "value": 30123.0, | |
| "min": 15984.0, | |
| "max": 32464.0, | |
| "count": 33 | |
| }, | |
| "Pyramids.Environment.CumulativeReward.mean": { | |
| "value": 1.5829148384013978, | |
| "min": -1.0000000521540642, | |
| "max": 1.6848018724682197, | |
| "count": 33 | |
| }, | |
| "Pyramids.Environment.CumulativeReward.sum": { | |
| "value": 159.87439867854118, | |
| "min": -32.000001668930054, | |
| "max": 178.58899848163128, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.ExtrinsicReward.mean": { | |
| "value": 1.5829148384013978, | |
| "min": -1.0000000521540642, | |
| "max": 1.6848018724682197, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.ExtrinsicReward.sum": { | |
| "value": 159.87439867854118, | |
| "min": -32.000001668930054, | |
| "max": 178.58899848163128, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.RndReward.mean": { | |
| "value": 0.03906513970186196, | |
| "min": 0.03906513970186196, | |
| "max": 7.644125474616885, | |
| "count": 33 | |
| }, | |
| "Pyramids.Policy.RndReward.sum": { | |
| "value": 3.945579109888058, | |
| "min": 3.945579109888058, | |
| "max": 122.30600759387016, | |
| "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": "1778088501", | |
| "python_version": "3.10.12 (main, Jul 26 2023, 13:20:36) [Clang 16.0.3 ]", | |
| "command_line_arguments": "/home/lesliebinbin/codings/ml-agents/.venv/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": "1778090167" | |
| }, | |
| "total": 1665.5673947229516, | |
| "count": 1, | |
| "self": 0.26922283391468227, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.014207420987077057, | |
| "count": 1, | |
| "self": 0.014207420987077057 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 1665.2839644680498, | |
| "count": 1, | |
| "self": 1.1416613415349275, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 1.693388284998946, | |
| "count": 1, | |
| "self": 1.693388284998946 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 1662.3697730294662, | |
| "count": 64151, | |
| "self": 0.9837138885632157, | |
| "children": { | |
| "env_step": { | |
| "total": 1073.9069227073342, | |
| "count": 64151, | |
| "self": 882.4164895971771, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 190.75584493996575, | |
| "count": 64151, | |
| "self": 3.3543323969934136, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 187.40151254297234, | |
| "count": 62567, | |
| "self": 187.40151254297234 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.7345881701912731, | |
| "count": 64151, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 1662.6520749307238, | |
| "count": 64151, | |
| "is_parallel": true, | |
| "self": 848.89608296589, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.0015558290760964155, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005466641159728169, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0010091649601235986, | |
| "count": 8, | |
| "is_parallel": true, | |
| "self": 0.0010091649601235986 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.026647060993127525, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00019737007096409798, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.00018133001867681742, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00018133001867681742 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.025735297007486224, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.025735297007486224 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.0005330638960003853, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0001287856139242649, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0004042782820761204, | |
| "count": 8, | |
| "is_parallel": true, | |
| "self": 0.0004042782820761204 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 813.7559919648338, | |
| "count": 64150, | |
| "is_parallel": true, | |
| "self": 11.738852503942326, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 7.756135683273897, | |
| "count": 64150, | |
| "is_parallel": true, | |
| "self": 7.756135683273897 | |
| }, | |
| "communicator.exchange": { | |
| "total": 763.7353502925253, | |
| "count": 64150, | |
| "is_parallel": true, | |
| "self": 763.7353502925253 | |
| }, | |
| "steps_from_proto": { | |
| "total": 30.525653485092334, | |
| "count": 64150, | |
| "is_parallel": true, | |
| "self": 7.217875162488781, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 23.307778322603554, | |
| "count": 513200, | |
| "is_parallel": true, | |
| "self": 23.307778322603554 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 587.4791364335688, | |
| "count": 64151, | |
| "self": 2.0148182252887636, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 95.76337434828747, | |
| "count": 64151, | |
| "self": 95.61310717032757, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.15026717795990407, | |
| "count": 2, | |
| "self": 0.15026717795990407 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 489.70094385999255, | |
| "count": 452, | |
| "self": 213.64967413351405, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 276.0512697264785, | |
| "count": 22776, | |
| "self": 276.0512697264785 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 6.770715117454529e-07, | |
| "count": 1, | |
| "self": 6.770715117454529e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.07914113497827202, | |
| "count": 1, | |
| "self": 0.0007529569556936622, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.07838817802257836, | |
| "count": 1, | |
| "self": 0.07838817802257836 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |