Explore the AlphaGo Games

author:frank  counts:287  time:2017-01-06    chick here more

Delve deeper into AlphaGo's fascinatingly innovative playing style, with commentary on the Lee Sedol match and self-play games by Fan Hui 2p. Featuring expert analysis by Gu Li 9p and Zhou Ruiyang 9p, these games will prove an enlightening read for Go players of all levels.

The game of Go originated in China more than 2,500 years ago. The rules of the game are simple: Players take turns to place black or white stones on a board, trying to capture the opponent's stones or surround empty space to make points of territory. As simple as the rules are, Go is a game of profound complexity. There are more possible positions in Go than there are atoms in the universe. That makes Go a googol times more complex than chess.

Go is played primarily through intuition and feel, and because of its beauty, subtlety and intellectual depth it has captured the human imagination for centuries. AlphaGo is the first computer program to ever beat a professional, human player. Read more about the game of Go and how AlphaGo is using machine learning to master this ancient game.

Our Nature paper published on 28th January 2016, describes the technical details behind a new approach to computer Go that combines Monte-Carlo tree search with deep neural networks that have been trained by supervised learning, from human expert games, and by reinforcement learning from games of self-play.

The game of Go is widely viewed as an unsolved “grand challenge” for artificial intelligence. Despite decades of work, the strongest computer Go programs still only play at the level of human amateurs. In this paper we describe our Go program, AlphaGo. This program was based on general-purpose AI methods, using deep neural networks to mimic expert players, and further improving the program by learning from games played against itself. AlphaGo won over 99% of games against the strongest other Go programs. It also defeated the human European champion by 5–0 in an official tournament match. This is the first time ever that a computer program has defeated a professional Go player, a feat previously believed to be at least a decade away.