A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing

Shengfan Cao, Eunhyek Joa, Francesco Borrelli

Guaranteeing constraint satisfaction is challenging in imitation learning (IL), particularly in tasks that require operating near a system's handling limits. Traditional IL methods…