Decision Making

Catalog description

This course will introduce students to fundamental concepts and algorithms in Artificial Intelligence focusing on problem solving, reasoning, and decision-making capabilities. We will begin with relatively simple environments, and gradually add complications like sequential decisions, uncertainty, multiple agents, and learning. Topics covered include problem-solving search, evolutionary algorithms, constraint satisfaction, uncertainty and decision theory, sequential decision making, reinforcement learning, and game theory.