AI RESEARCH
BridgeSim: Unveiling the OL-CL Gap in End-to-End Autonomous Driving
arXiv CS.AI
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ArXi:2604.10856v1 Announce Type: cross Open-loop (OL) to closed-loop (CL) gap (OL-CL gap) exists when OL-pretrained policies scoring high in OL evaluations fail to transfer effectively in closed-loop (CL) deployment. In this paper, we unveil the root causes of this systemic failure and propose a practical remedy. Specifically, we nstrate that OL policies suffer from Observational Domain Shift and Objective Mismatch.