Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use JaviBJ/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use JaviBJ/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="JaviBJ/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| { | |
| "Pyramids": { | |
| "checkpoints": [ | |
| { | |
| "steps": 499925, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-499925.onnx", | |
| "reward": null, | |
| "creation_time": 1681062161.1322184, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-499925.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 999993, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-999993.onnx", | |
| "reward": 1.5344999954104424, | |
| "creation_time": 1681063273.0926414, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-999993.pt" | |
| ] | |
| }, | |
| { | |
| "steps": 1000121, | |
| "file_path": "results/Pyramids Training/Pyramids/Pyramids-1000121.onnx", | |
| "reward": 1.5344999954104424, | |
| "creation_time": 1681063273.1955671, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-1000121.pt" | |
| ] | |
| } | |
| ], | |
| "final_checkpoint": { | |
| "steps": 1000121, | |
| "file_path": "results/Pyramids Training/Pyramids.onnx", | |
| "reward": 1.5344999954104424, | |
| "creation_time": 1681063273.1955671, | |
| "auxillary_file_paths": [ | |
| "results/Pyramids Training/Pyramids/Pyramids-1000121.pt" | |
| ] | |
| } | |
| }, | |
| "metadata": { | |
| "stats_format_version": "0.3.0", | |
| "mlagents_version": "0.31.0.dev0", | |
| "torch_version": "1.11.0+cu102" | |
| } | |
| } |