Robust Reinforcement Learning from Corrupted Human Feedback

Alexander Bukharin, Ilgee Hong, Haoming Jiang +4

Reinforcement learning from human feedback (RLHF) provides a principled framework for aligning AI systems with human preference data. For various reasons, e.g., personal bias, cont…