LAUSR

Safe Reinforcement Learning Using Black-Box Reachability Analysis

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1 Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3192205

Abstract: Reinforcement learning (RL) is capable of sophisticated motion planning and control for robots in uncertain environments. However, state-of-the-art deep RL approaches typically lack safety guarantees, especially when the robot and environment models are unknown. To… read more here.

Keywords: reinforcement learning; reachability analysis; box reachability; black box ... See more keywords