RLPA

RLPA, or Reinforcement Learning with Privileged Information, is a machine learning approach where a system learns to make decisions more effectively by using extra, helpful information available during training but not at deployment. Think of it like training with a coach who provides additional insights; once trained, the system can operate independently without these hints. This method aims to speed up learning and improve performance in complex tasks, such as robotics or game playing, by leveraging privileged knowledge during training while ensuring the final model functions efficiently in real-world scenarios.