This project involves a Mario Kart simulation that learns to navigate a modified Mario Kart track using reinforcement learning.
It learns the track and finds the best route based on its speed and rotation. (which can be modified)
The car which finishes the fastest lap will be displayed on the screen and cooldown implemented to prevent overlapping.
