Connect Four Game - Human vs. AI


In this project, we will use Python and the Pygame library to simulate a Connect Four game between an AI and a player, where the AI algorithm utilizes the Monte Carlo tree search concept and the difficulty coefficient determines its decision-making strategies.



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.

👀 Preview

Connect Four Game

🎯 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

🏆 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




Labby is the LabEx teacher.