most citedPersonalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

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cs.LG2024★ 1 cited

Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning

Sriyash Poddar, Yanming Wan, Hamish Ivison +2

Reinforcement Learning from Human Feedback (RLHF) is a powerful paradigm for aligning foundation models to human values and preferences. However, current RLHF techniques cannot acc…