Design of Reward Function on Reinforcement Learning for Automated Driving

Takeru Goto, Yuki Kizumi, Shun Iwasaki

This paper proposes a design scheme of reward function that constantly evaluates both driving states and actions for applying reinforcement learning to automated driving. In the fi…