C. Sims

Policy Complexity, Reaction Time, and Bounded Rationality in Reinforcement Learning

Biological agents do not learn under conditions of unlimited computation. For humans, learning and choice are shaped by constraints on perception, attention, and working memory, which limit how much state information guides behavior and therefore bound policy complexity. Standard reinforcement learning models typically...