Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Nishant91/ppo-PyramidsRND with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Nishant91/ppo-PyramidsRND with ml-agents:
mlagents-load-from-hf --repo-id="Nishant91/ppo-PyramidsRND" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| 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 | |
| We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub: | |
| ### Resume the training | |
| ``` | |
| mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume | |
| ``` | |
| ### Watch your Agent play | |
| You can watch your agent **playing directly in your browser:**. | |
| 1. Go to https://huggingface.co/spaces/unity/ML-Agents-Pyramids | |
| 2. Step 1: Write your model_id: Nishant91/ppo-PyramidsRND | |
| 3. Step 2: Select your *.nn /*.onnx file | |
| 4. Click on Watch the agent play 👀 | |