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Gradient-Free Neural Hamilton-Jacobi Reachability for Scalable Safety-Critical Control
Hamilton-Jacobi (HJ) reachability provides a principled framework for synthesizing safety certificates and robust controllers for safety-critical robotic systems. However, applying reachability analysis to high-dimensional nonlinear systems remains challenging: classical grid-based solvers suffer fr
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