this repository contains various reinforcement learning agents implemented in Python. The agents are designed to learn and adapt to different environments, including classic control tasks and custom game environments.

• Snake: A reinforcement learning agent for playing the Snake game using the Gymnasium library.
• Pong: A reinforcement learning agent for playing the Pong game using the Gymnasium library.
• Gungi: A reinforcement learning agent for playing Gungi, a strategic board game from the "Hunter x Hunter" universe.

This repository now uses uv for environment management and dependency locking.

1. Install uv (see the official docs for platform-specific installers).
2. Create the virtual environment and install dependencies (uv will automatically download Python 3.11, which is the supported runtime for this repo):

   uv sync

3. Run any script directly through uv to ensure it uses the managed environment, e.g.:

   uv run python src/snake/train.py

4. When you need a new dependency, add it via:

   uv add <package-name>