Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Mavilla/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Mavilla/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Mavilla/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
|
Download README.md from Mavilla/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 706 Bytes
-
https://huggingface.co/Mavilla/ppo-Pyramids/resolve/main/README.md
- Command line
-
hf download hf://Mavilla/ppo-Pyramids/README.md
-
curl -L -o README.md https://huggingface.co/Mavilla/ppo-Pyramids/resolve/main/README.md
706 Bytes
| tags: | |
| - unity-ml-agents | |
| - ml-agents | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-Pyramids | |
| library_name: ml-agents | |
| # **ppo** Agent playing **Pyramids** | |
| This is a trained model of a **ppo** agent playing **Pyramids** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents). | |
| ## Usage (with ML-Agents) | |
| The Documentation: https://github.com/huggingface/ml-agents#get-started | |
| ### Watch your Agent play | |
| You can watch your agent **playing directly in your browser:** | |
| 👉 https://huggingface.co/spaces/unity/ML-Agents-Pyramids | |
| 1. In step 1, choose your model repository: `Mavilla/ppo-Pyramids` | |
| 2. In step 2, choose `Pyramids.onnx` | |