Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

Ilgee Hong, Zichong Li, Alexander Bukharin +4

Reinforcement learning from human feedback (RLHF) is a prevalent approach to align AI systems with human values by learning rewards from human preference data. Due to various reaso…