Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees
arXiv:2604.12654v1 Announce Type: cross
Abstract: We study finite horizon reachable set estimation for unknown discrete-time dynamical systems using only sampled state trajectories. Rather than treating scenario optimization as a black-box tool, we sh…