Deep Reinforcement Learning for Reach-Avoid-Stay Problems
A two-step deep reinforcement learning framework that jointly learns the maximal robust RAS set and the corresponding control policy and identifies the RAS set with high accuracy while outperforming baseline methods on RAS tasks.
Gabriel Chênevert, Jingqi Li, A. Kannan et al.
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