A | B | C | D | E | F | G | H | CH | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9
AlphaGo versus Fan Hui was a five-game Go match between European champion Fan Hui, a 2-dan (out of 9 dan possible) professional, and AlphaGo, a computer Go program developed by DeepMind, held at DeepMind's headquarters in London in October 2015.[1] AlphaGo won all five games.[2][3] This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap.[4] This match was not disclosed to the public until 27 January 2016 to coincide with the publication of a paper in the journal Nature[5] describing the algorithms AlphaGo used.[2]
Fan described the program as "very strong and stable, it seems like a wall. ... I know AlphaGo is a computer, but if no one told me, maybe I would think the player was a little strange, but a very strong player, a real person."[6]
Games
Summary
In this match, DeepMind used AlphaGo's distributed version with 1,202 CPUs and 176 GPUs[5] with Elo rating 3,144.[7] For each game there was a one-hour set time limit for each player followed by three 30-second byo-yomi overtime periods.
| Game | Date | Black | White | Result | Moves |
|---|---|---|---|---|---|
| 1 | 5 October 2015 | Fan Hui | AlphaGo | White won 2.5 points | 272 |
| 2 | 6 October 2015 | AlphaGo | Fan Hui | Black won by resignation | 183 |
| 3 | 7 October 2015 | Fan Hui | AlphaGo | White won by resignation | 166 |
| 4 | 8 October 2015 | AlphaGo | Fan Hui | Black won by resignation | 165 |
| 5 | 9 October 2015 | Fan Hui | AlphaGo | White won by resignation | 214 |
| Result: AlphaGo 5 – 0 Fan Hui | |||||
During this match, AlphaGo and Fan Hui also played another five informal games with shorter time control (each player having just three 30-second byo-yomi) and AlphaGo defeated Fan by three to two.[5]
Game 1
Fan Hui (black) v. AlphaGo (white), 5 October 2015, AlphaGo won by 2.5 points.[5]
