This repository contains two versions of the Connect Four game implemented in Python along with AI opponents using different algorithms: Minimax and Monte Carlo Simulation.

The Minimax version of Connect Four implements an AI opponent using the minimax algorithm. This algorithm is a search algorithm commonly used in decision trees and game playing.

To play the game against the minimax AI:

1. Navigate to the connect-4-minimax directory.
2. Run the connect-4.py script.
3. Follow the prompts to play against the AI opponent.

The Monte Carlo version of Connect Four implements an AI opponent using the Monte Carlo Simulation algorithm. This algorithm is a probabilistic method for estimating the possible outcomes of a decision by simulating random outcomes.

To play the game against the Monte Carlo AI:

1. Navigate to the connect-4-monte-carlo directory.
2. Run the connect-4.py script.
3. Follow the prompts to play against the AI opponent.

Both versions of the game require Python 3.x to be installed on your system.

Additionally, the following Python packages are used:

• numpy: For efficient numerical operations.
• termcolor: For colored output in the terminal.

You can install these packages using pip

Starter code was provided by Professor Avi Rosenfeld