Introduction
This project is a Python implementation of the classic Connect Four game where a player can compete against an AI. It employs the Pygame library for the game's interface and control. The AI's decision-making is based on the Monte Carlo tree search algorithm, and the difficulty level is adjustable, allowing players to challenge themselves with smarter AI opponents.
Key Concepts:
- Utilizing Pygame for game development.
- Implementing the Monte Carlo tree search algorithm for AI decision-making.
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ðŊ Tasks
In this project, you will learn:
- How to build a game using Pygame
- How to implement the Monte Carlo tree search algorithm for AI decision-making
- How to customize and enhance the AI's difficulty level
- How to create a fun and interactive Connect Four game for human vs. AI battles
ð Achievements
After completing this project, you will be able to:
- Develop games using Python and Pygame
- Understand the principles of the Monte Carlo tree search algorithm
- Tune the difficulty of an AI opponent to create a challenging gaming experience
- Enhance user interfaces to make the gaming experience more engaging
