From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning

Ranxu zhang, zeyang li, Jiacheng Huang +5

Agentic reinforcement learning (Agentic RL) has achieved strong progress in tasks with clear success signals. However, many real-world agent applications require user-conditioned b…