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Kris Shengjun Dong

1 accepted papers

2025

Certifiable Reachability Learning Using a New Lipschitz Continuous Value Function

RA-L 2025

We propose a new reachability learning framework for high-dimensional nonlinear systems, focusing on <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">reach-avoid problems</i>. These problems require computing the <italic xmlns:mml="http://www.w3.org/1

Cited by 16SourcecodeScholar