PPO Small Fighter

This project was developed as part of my dissertation exploring machine learning in games using Unity ML-Agents.

The project is based on an existing open source fighting game, which I extended by implementing a reinforcement learning agent using Proximal Policy Optimization (PPO).

The goal was to create an AI controlled fighter capable of learning how to compete against the player through training rather than traditional scripting.