Computer Go

From the Interactive Media & Games Seminar Series; Daniel Bump, Professor of Mathematics at Stanford University considers the problem of Go programming, why it is difficult, and looks at GNU Go's algorithms. Then he looks at two subsequent subject developments, namely Monte Carlo methods and Deep Learning. Finally, we will review a few moves from the recent AlphaGo-Lee Sedol match.

Видео Computer Go канала Stanford