In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States

摘要: Learning-based control approaches have shown great promise in performing complex tasks directly from high-dimensional perception data for real robotic systems. Nonetheless, the …