EECE 384 - Artificial Intelligence and Reinforcement Learning

This course introduces the fundamental principles, techniques, and applications of artificial intelligence (AI) and reinforcement learning (RL). Topics include knowledge representation, heuristic and algorithmic search methods, reasoning and planning in uncertain environments, and algorithmic learning techniques in unknown environments. The course also includes a discussion of the ethical and societal implications of AI and RL. Students completing this course will have a working knowledge of the design and implementation of various algorithms that will allow an intelligent agent to accomplish tasks in complex environments. Applications of topics covered in this course may include robotics, autonomous driving, and computer games.

Prerequisites & Notes: EECE 244; MATH 204; MATH 341 or MATH 345.
Credits: 4
Grade Mode: Letter