arxivcs.LGeess.SY2026-07-15
Distributionally Robust and Safe Imitation Learning
Ahmed Aboudonia, Naira Hovakimyan
Imitation learning (IL) has achieved remarkable success in complex decision-making tasks. However, its performance is highly sensitive to distribution shifts, which can pose significant safety risks. We propose a distributionally robust and safe IL framework that explicitly addre…