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

Fernando CastaƱeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon. In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. In Nikolai Matni, Manfred Morari, George J. Pappas, editors, Learning for Dynamics and Control Conference, L4DC 2023, 15-16 June 2023, Philadelphia, PA, USA. Volume 211 of Proceedings of Machine Learning Research, pages 286-299, PMLR, 2023. [doi]

Abstract

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