This project aims to use a combination of imitation learning and reinforcement learning in order to play Asseto Corsa by learning new policies from expert samples and reward function. These policies are a combination of a function of minimizing the difference between expert moves and the maximizing the reward.
Repository from Github https://github.comabhimasand/AI-Assetto-Corsa
