LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback.
arXiv:2607.29559v2 Announce Type: replace Abstract: Reinforcement Learning (RL) systems are typically trained using a single, well-specified scalar reward function. However, real-world decision-making tasks often involve multiple, competing objectives, such as
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