arXiv (OAI Expanded)
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A Simple Approach to Constraint-Aware Imitation Learning with Application to Autonomous Racing
Guaranteeing constraint satisfaction is challenging in imitation learning (IL), particularly in tasks that require operating near a system's handling limits. Traditional IL methods, such as Behavior Cloning (BC), often struggle to enforce constraints, leading to suboptimal performance in high-precis
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