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cs.RO2024
Autonomous Drifting Based on Maximal Safety Probability Learning
Hikaru Hoshino, Jiaxing Li, Arnav Menon +2
This paper proposes a novel learning-based framework for autonomous driving based on the concept of maximal safety probability. Efficient learning requires rewards that are informa…
eess.SY2024★ 4 cited
Physics-informed RL for Maximal Safety Probability Estimation
Hikaru Hoshino, Yorie Nakahira
Accurate risk quantification and reachability analysis are crucial for safe control and learning, but sampling from rare events, risky states, or long-term trajectories can be proh…