2024
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
ICML 2024poster
Reinforcement Learning from Human Feedback (RLHF) has shown potential in qualitative tasks where easily defined performance measures are lacking. However, there are drawbacks when RLHF is commonly used to optimize for average human preferences, especially in generative tasks that demand diverse mode…