Learning Personalized Agents from Human Feedback

Kaiqu Liang, Julia Kruk, Shengyi Qian +9

Modern AI agents are powerful but often fail to align with the idiosyncratic, evolving preferences of individual users. Prior approaches typically rely on static datasets, either t…