First Year Seminar 191MCS25 - FYS-Learning/Trial & Error

How can we teach machines to learn on their own? In this seminar, we will explore this question by examining how computers can learn from experience?just like humans and animals do. One way they do this is through reinforcement learning, a technique used to solve a wide range of problems, from training self-driving cars to teaching robots to clean kitchens. You will learn why this method of learning is both powerful and sometimes challenging, how to identify real-world problems that can be addressed in this way, and how to frame such problems so that a computer can learn to solve them.

Open to COMPSCI or INFORM students only. First-year (R1ST)