HJRNO learns a mapping from the signed-distance function of an obstacle to the infinite-horizon reachability value function, achieving millisecond inference on held-out obstacles and reduced-state system settings.
Deepreach: A deep learning approach to high-dimensional reachability
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HJRNO: Hamilton-Jacobi Reachability with Neural Operators
HJRNO learns a mapping from the signed-distance function of an obstacle to the infinite-horizon reachability value function, achieving millisecond inference on held-out obstacles and reduced-state system settings.