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Exponential sample complexity in reachability analysis is intrinsic, revealing fundamental limits that challenge the scalability of sampling-based methods in high-dimensional systems.
Learned safety filters get a reliability boost: ACoFi dynamically adapts switching criteria based on observed errors, leading to fewer safety violations and higher learned safety values, especially in out-of-distribution scenarios.
