Quoridor AI Project

A project in python focused on developing an intelligent AI opponent for the board game Quoridor, a game easy to learn but with strategic depth.

Project Goals

• Core Game Logic: Implement the rules and mechanics of Quoridor faithfully.
• AI Development: Design and train an AI player that makes strategic moves and adapts to different playstyles.
• Human Play: Create a basic interface (text-based or simple graphics) to allow human vs. AI gameplay.

Prerequisites

• Python 3.x

Game Rules

• https://en.wikipedia.org/wiki/Quoridor

Project Status

• Early Development: Project structure established, and core game logic is under development.
• AI Research: Exploring AI strategies and algorithms suitable for Quoridor (e.g., Minimax, Monte Carlo Tree Search, etc.)

Future Goals

• Difficulty Levels: Implement different AI difficulty settings.
• Machine Learning: Explore training the AI through self-play or reinforcement learning.
• A userfriendly UI