Connect-4-If-You-Can

Overview

A self-learning connect-4 game with a simple GUI. I used the blog on reinforcement learning to come up with my Q-Learning solution. The blog provides an excellent step-by-step approach to implement a solution using RL.

Connect-4 has a huge state space that renders Q-Learning ineffective. An approach using Deep Q-Learning will make a better self-learning AI agent for the game.

Figure 1 - AI agent (Yellow) playing against a human (Red)

Dependencies

• Python3
• Python3 Libraries: Numpy, PyGame

Install Dependencies

• Install Python3, and the necessary libraries: (if not already installed)

sudo apt install python3
sudo apt install python3-pip
pip3 install numpy pygame

• Check if your system successfully installed all the dependencies
• Open terminal using Ctrl+Alt+T and enter python3
• The terminal should now present a new area represented by >>> to enter python commands
• Now use the following commands to check libraries: (Exit python window using Ctrl+Z if an error pops up while running the below commands)

import numpy
import pygame

Run

• Using the terminal, clone this repository and go into the project directory, and run:

git clone https://github.com/urastogi885/connect-4-if-you-can
cd connect-4-if-you-can
python3 connect_4.py