FlowR2A: Learning Reward-to-Action Distribution for Multimodal Driving Planning

Xirui Li, Zhe Liu, Xiaoqing Ye +4

Multimodal driving planning faces a long-standing tension between two paradigms: scoring-based methods benefit from dense reward supervision but are confined to a fixed action voca…