The newest AlphaGo mastered the game with no human input | Science News

SUPPORT SCIENCE NEWS

Help us keep you informed.

Real Science. Real News.


News

The newest AlphaGo mastered the game with no human input

The computer program even devised new strategies previously unknown to human players

By
1:00pm, October 18, 2017
Go stones on a Go board

GAME CHANGER  The first completely self-taught AlphaGo program tops all of its machine-learning predecessors, no contest.

AlphaGo just leveled up.

The latest version of the computer program, dubbed AlphaGo Zero, is the first to master Go, a notoriously complex Chinese board game, without human guidance. Its predecessor — dubbed AlphaGo Lee when it became the first computer program with artificial intelligence, or AI, to defeat a human world champion Go player (SN Online: 3/15/16) — had to study millions of examples of human expert moves before playing practice games against itself. AlphaGo Zero trained solely through self play, starting with completely random moves. After a few days’ practice, AlphaGo Zero trounced AlphaGo Lee 100 games to none, researchers report in the Oct. 19 Nature.  

“The results are stunning,” says Jonathan Schaeffer, a computer

This article is only available to Science News subscribers. Already a subscriber? Log in now. Or subscribe today for full access.

Get Science News headlines by e-mail.

More from Science News

From the Nature Index Paid Content