Computer Go by Daniel Bump

source: Stanford     2016年8月2日
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.