AI for Control: Reinforcement Learning Reinforcement learning, a subset of artificial intelligence, is a computational approach that models decision-making by exploring the cause-and-effect relationships between actions and rewards. It provides a framework for solving optimization problems where an agent interacts with its environment and refines its policies over time. Closely related to both optimal and... Read more →