AI RESEARCH
ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
arXiv CS.LG
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ArXi:2604.04401v1 Announce Type: cross Braking system, the key module to ensure the safety and steer-ability of current vehicles, relies on extensive manual calibration during production. Reducing labor and time consumption while maintaining the Vehicle Braking Controller (VBC) performance greatly benefits the vehicle industry. Model-based methods in offline reinforcement learning, which facilitate policy exploration within a data-driven dynamics model, offer a promising solution for addressing real-world control tasks.