2 papers
cs.RO2025
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…
cs.RO2025
Speed Optimization Algorithm based on Deterministic Markov Decision Process for Automated Highway Merge
Takeru Goto, Kosuke Toda, Takayasu Kumano
This study presents a robust optimization algorithm for automated highway merge. The merging scenario is one of the challenging scenes in automated driving, because it requires adj…