RL Karting

RL Karting is a completed project where autonomous AI agents were trained to drive karts in a Unity-based racing environment. Built on the Unity Karting Microgame, the project demonstrates how reinforcement learning can be applied to teach agents to navigate tracks, avoid obstacles, and compete in races without human input. The project showcases fully trained neural network models that exhibit intelligent driving behaviors, adapting to different tracks and scenarios. It serves as an engaging example of combining game development, machine learning, and AI research in a single interactive environment.