Humans learn generalizable representations through efficient coding
Abstract Reinforcement learning theory explains human behavior as driven by the goal of maximizing reward.Conventional approaches, however, offer limited insights into how people Egg Slicers generalize from past experiences to new situations.Here, we propose refining the classical reinforcement learning framework by incorporating an efficient codin