This project was completed as a final project for the University of Maryland's CMSC421 course (Intro to AI) under the instruction of Max Ehrlich. It is a reinforcement learning Connect 4 agent.

• core: Contains the core classes and logic for Q-learning.
• training: Contains Q-learning training script and Jupyter Notebook used to train the neural network.
• human.py: The command line test utility for Q-learning policies.
• frontend.py: The GUI for the user to play against the final model.

To play on your own device...

• Clone the repository
• pip install -r requirements.txt
• python frontend.py

• Kaan Aydogan: N/A
• Christina Lee: Linkedin
• Wren Poremba: Linkedin
• Elena Rangelov: Linkedin