Testpyramidsrnd

🚀 PPO Agent Playing Pyramids

This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library. It demonstrates the application of deep reinforcement learning in the game environment.

🚀 Quick Start

✨ Features

• Utilize the PPO algorithm for training agents to play the Pyramids game.
• Integrate with the Unity ML-Agents Library for efficient development and training.

📦 Installation

No specific installation steps are provided in the original document.

💻 Usage Examples

Basic Usage

The official documentation can be found at: https://github.com/huggingface/ml-agents#get-started. We've also prepared a comprehensive tutorial to guide you through training your first agent with ML-Agents and publishing 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 play directly in your browser by following these steps:

1. Visit https://huggingface.co/spaces/unity/ML-Agents-Pyramids.
2. Step 1: Enter your model_id: adil-o/testpyramidsrnd.
3. Step 2: Select your *.nn / *.onnx file.
4. Click on Watch the agent play 👀.

📚 Documentation

The official documentation for ML-Agents can be accessed at https://github.com/huggingface/ml-agents#get-started.