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cs.RO2026

Deployable Human Preference Alignment in Robotics: Learning Representative Rewards from Diverse Human Preferences

Taehyung Kim, Gwangmo Lee, Minjun Chang +2

The paper proposes Preference-based REward Clustering (PREC), a method that groups users with similar preferences and learns a compact set of reward models from binary feedback to…