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cs.RO2026
On the Limits of Sampling-Based Reachability: Geometry, Dynamics, and Sample Complexity
Jixian Liu, Ihab Tabbara, Hussein Sibai +1
Reachability analysis is central to safety-critical control, robotics, and neural network verification, but classical computational methods, such as Hamilton--Jacobi reachability a…
math.OC2026
Symplectic Inductive Bias for Data-Driven Target Reachability in Hamiltonian Systems
Zhuo Ouyang, Jixian Liu, Enrique Mallada
Inductive bias refers to restrictions on the hypothesis class that enable a learning method to generalize effectively from limited data. A canonical example in control is linearity…