ABSTRACT
This project aims to explore Reinforcement Learning and how it can be applied through the Unity game engine. A small 2D game was designed and implemented to test 12 agents navigating their own training environment. The eval- uation of the agents was data gathered and was able to show that after some fine-tuning and bug fixes, the agents were able to navigate the course with good precision.