Stanford researchers present contrastive preference learning (CPL): a new machine learning framework for RLHF that uses the regret preference model
Aligning models with human preferences poses significant challenges in ai research, particularly in sequential and high-dimensional decision-making tasks. Traditional reinforcement ...
