AI RESEARCH
CRAFT: Counterfactual-to-Interactive Reinforcement Fine-Tuning for Driving Policies
arXiv CS.LG
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ArXi:2605.04470v1 Announce Type: new Open-loop imitation learning has advanced modern autonomous driving policy architectures, but closed-loop deployment remains vulnerable to policy-induced distribution shift. Existing post-