Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Alejandra2005/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Alejandra2005/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Alejandra2005/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download run_logs/timers.json from Alejandra2005/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 17.5 kB
-
https://huggingface.co/Alejandra2005/ppo-Pyramids/resolve/main/run_logs/timers.json
- Command line
-
hf download hf://Alejandra2005/ppo-Pyramids/run_logs/timers.json
-
curl -L -o timers.json https://huggingface.co/Alejandra2005/ppo-Pyramids/resolve/main/run_logs/timers.json
17.5 kB
| { | |
| "name": "root", | |
| "gauges": { | |
| "Pyramids.Policy.Entropy.mean": { | |
| "value": 1.2501046657562256, | |
| "min": 1.1939489841461182, | |
| "max": 1.5913022756576538, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.Entropy.sum": { | |
| "value": 12381.037109375, | |
| "min": 11790.4853515625, | |
| "max": 16294.935546875, | |
| "count": 50 | |
| }, | |
| "Pyramids.Step.mean": { | |
| "value": 499999.0, | |
| "min": 9984.0, | |
| "max": 499999.0, | |
| "count": 50 | |
| }, | |
| "Pyramids.Step.sum": { | |
| "value": 499999.0, | |
| "min": 9984.0, | |
| "max": 499999.0, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.ExtrinsicValueEstimate.mean": { | |
| "value": -0.09566681832075119, | |
| "min": -0.10525472462177277, | |
| "max": -0.0065712472423911095, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.ExtrinsicValueEstimate.sum": { | |
| "value": -15.5936918258667, | |
| "min": -16.94601058959961, | |
| "max": -1.0251145362854004, | |
| "count": 50 | |
| }, | |
| "Pyramids.Losses.PolicyLoss.mean": { | |
| "value": 0.06379649303669699, | |
| "min": 0.058526400409863094, | |
| "max": 0.07473665089303351, | |
| "count": 50 | |
| }, | |
| "Pyramids.Losses.PolicyLoss.sum": { | |
| "value": 0.31898246518348494, | |
| "min": 0.17557920122958928, | |
| "max": 0.31898246518348494, | |
| "count": 50 | |
| }, | |
| "Pyramids.Losses.ValueLoss.mean": { | |
| "value": 2.9341412917011963e-05, | |
| "min": 6.6490340257827375e-06, | |
| "max": 0.01349384894597784, | |
| "count": 50 | |
| }, | |
| "Pyramids.Losses.ValueLoss.sum": { | |
| "value": 0.0001467070645850598, | |
| "min": 2.106097124378865e-05, | |
| "max": 0.04048154683793352, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.LearningRate.mean": { | |
| "value": 3.260858913079994e-06, | |
| "min": 3.260858913079994e-06, | |
| "max": 0.00029631360122879996, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.LearningRate.sum": { | |
| "value": 1.630429456539997e-05, | |
| "min": 1.630429456539997e-05, | |
| "max": 0.0011168256277248, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.Epsilon.mean": { | |
| "value": 0.10108692, | |
| "min": 0.10108692, | |
| "max": 0.1987712, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.Epsilon.sum": { | |
| "value": 0.5054346, | |
| "min": 0.3514752, | |
| "max": 0.7722752, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.Beta.mean": { | |
| "value": 0.0001185833079999998, | |
| "min": 0.0001185833079999998, | |
| "max": 0.00987724288, | |
| "count": 50 | |
| }, | |
| "Pyramids.Policy.Beta.sum": { | |
| "value": 0.000592916539999999, | |
| "min": 0.000592916539999999, | |
| "max": 0.037230292479999996, | |
| "count": 50 | |
| }, | |
| "Pyramids.IsTraining.mean": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 50 | |
| }, | |
| "Pyramids.IsTraining.sum": { | |
| "value": 1.0, | |
| "min": 1.0, | |
| "max": 1.0, | |
| "count": 50 | |
| }, | |
| "Pyramids.Environment.EpisodeLength.mean": { | |
| "value": 999.0, | |
| "min": 746.0, | |
| "max": 999.0, | |
| "count": 33 | |
| }, | |
| "Pyramids.Environment.EpisodeLength.sum": { | |
| "value": 15984.0, | |
| "min": 746.0, | |
| "max": 15984.0, | |
| "count": 33 | |
| }, | |
| "Pyramids.Environment.CumulativeReward.mean": { | |
| "value": -0.9999375445768237, | |
| "min": -1.0000000447034836, | |
| "max": 1.253999911248684, | |
| "count": 38 | |
| }, | |
| "Pyramids.Environment.CumulativeReward.sum": { | |
| "value": -15.99900071322918, | |
| "min": -16.000000715255737, | |
| "max": 1.253999911248684, | |
| "count": 38 | |
| }, | |
| "Pyramids.Policy.ExtrinsicReward.mean": { | |
| "value": -0.9999375445768237, | |
| "min": -1.0000000447034836, | |
| "max": 1.253999911248684, | |
| "count": 38 | |
| }, | |
| "Pyramids.Policy.ExtrinsicReward.sum": { | |
| "value": -15.99900071322918, | |
| "min": -16.000000715255737, | |
| "max": 1.253999911248684, | |
| "count": 38 | |
| } | |
| }, | |
| "metadata": { | |
| "timer_format_version": "0.1.0", | |
| "start_time_seconds": "1792705072", | |
| "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/Pyramids.yaml --env=training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids1 --no-graphics --max-lifetime-restarts=0", | |
| "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": "1792706043" | |
| }, | |
| "total": 971.5753852080002, | |
| "count": 1, | |
| "self": 1.224815710000712, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.039954345999831276, | |
| "count": 1, | |
| "self": 0.039954345999831276 | |
| }, | |
| "TrainerController.start_learning": { | |
| "total": 970.3106151519996, | |
| "count": 1, | |
| "self": 0.9546815610224257, | |
| "children": { | |
| "TrainerController._reset_env": { | |
| "total": 5.233627830000387, | |
| "count": 1, | |
| "self": 5.233627830000387 | |
| }, | |
| "TrainerController.advance": { | |
| "total": 964.0717236049777, | |
| "count": 31266, | |
| "self": 1.1823989049526062, | |
| "children": { | |
| "env_step": { | |
| "total": 760.9018197400419, | |
| "count": 31266, | |
| "self": 702.4233536260522, | |
| "children": { | |
| "SubprocessEnvManager._take_step": { | |
| "total": 57.84238519898872, | |
| "count": 31266, | |
| "self": 2.555585806970612, | |
| "children": { | |
| "TorchPolicy.evaluate": { | |
| "total": 55.28679939201811, | |
| "count": 31259, | |
| "self": 55.28679939201811 | |
| } | |
| } | |
| }, | |
| "workers": { | |
| "total": 0.6360809150010027, | |
| "count": 31266, | |
| "self": 0.0, | |
| "children": { | |
| "worker_root": { | |
| "total": 966.6629856819791, | |
| "count": 31266, | |
| "is_parallel": true, | |
| "self": 337.1782518049654, | |
| "children": { | |
| "run_training.setup": { | |
| "total": 0.0, | |
| "count": 0, | |
| "is_parallel": true, | |
| "self": 0.0, | |
| "children": { | |
| "steps_from_proto": { | |
| "total": 0.004418220000388828, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0011062109992963087, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.0033120090010925196, | |
| "count": 8, | |
| "is_parallel": true, | |
| "self": 0.0033120090010925196 | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 0.06671823400029098, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005583110005318304, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 0.0005306699999891862, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.0005306699999891862 | |
| }, | |
| "communicator.exchange": { | |
| "total": 0.06134799399978874, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.06134799399978874 | |
| }, | |
| "steps_from_proto": { | |
| "total": 0.004281258999981219, | |
| "count": 1, | |
| "is_parallel": true, | |
| "self": 0.00035039899967159727, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 0.003930860000309622, | |
| "count": 8, | |
| "is_parallel": true, | |
| "self": 0.003930860000309622 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "UnityEnvironment.step": { | |
| "total": 629.4847338770137, | |
| "count": 31265, | |
| "is_parallel": true, | |
| "self": 18.183061656024165, | |
| "children": { | |
| "UnityEnvironment._generate_step_input": { | |
| "total": 12.60300877101281, | |
| "count": 31265, | |
| "is_parallel": true, | |
| "self": 12.60300877101281 | |
| }, | |
| "communicator.exchange": { | |
| "total": 545.9632927780003, | |
| "count": 31265, | |
| "is_parallel": true, | |
| "self": 545.9632927780003 | |
| }, | |
| "steps_from_proto": { | |
| "total": 52.7353706719764, | |
| "count": 31265, | |
| "is_parallel": true, | |
| "self": 11.924669101853851, | |
| "children": { | |
| "_process_rank_one_or_two_observation": { | |
| "total": 40.810701570122546, | |
| "count": 250120, | |
| "is_parallel": true, | |
| "self": 40.810701570122546 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_advance": { | |
| "total": 201.9875049599832, | |
| "count": 31266, | |
| "self": 1.2953820219277077, | |
| "children": { | |
| "process_trajectory": { | |
| "total": 43.992623443059074, | |
| "count": 31266, | |
| "self": 43.63490549005883, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.3577179530002468, | |
| "count": 1, | |
| "self": 0.3577179530002468 | |
| } | |
| } | |
| }, | |
| "_update_policy": { | |
| "total": 156.69949949499642, | |
| "count": 172, | |
| "self": 81.5224108859843, | |
| "children": { | |
| "TorchPPOOptimizer.update": { | |
| "total": 75.17708860901212, | |
| "count": 11655, | |
| "self": 75.17708860901212 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| }, | |
| "trainer_threads": { | |
| "total": 9.99999429041054e-07, | |
| "count": 1, | |
| "self": 9.99999429041054e-07 | |
| }, | |
| "TrainerController._save_models": { | |
| "total": 0.05058115599968005, | |
| "count": 1, | |
| "self": 0.0012254599996595061, | |
| "children": { | |
| "RLTrainer._checkpoint": { | |
| "total": 0.049355696000020544, | |
| "count": 1, | |
| "self": 0.049355696000020544 | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } | |
| } |