Reinforcement Learning with Human Feedback (RLHF) is a machine learning approach where an algorithm learns to perform tasks by receiving feedback from humans, guiding its actions toward desired outcomes. This method combines traditional reinforcement learning with human insights to improve learning efficiency and task performance.