AlphaGo versus Fan Hui(Redirected from AlphaGo Fan)
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. AlphaGo won all the five games. This was the first time a computer Go program had beaten a professional human player on a full-sized board without handicap. This match was not disclosed to the public until 27 January 2016 to coincide with the publication of a paper in the journal Nature describing the algorithms AlphaGo used.
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."
In this match, DeepMind used AlphaGo's distributed version with 1,202 CPUs and 176 GPUs with Elo rating 3,144. For each game there was a one-hour set time limit for each player followed by three 30-second byo-yomi overtime periods.
|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|
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.
Fan Hui (black) v. AlphaGo (white), 5 October 2015, AlphaGo won by 2.5 points.
|First 99 moves|
|Moves 200–272 (234 at ; 250 at )|
AlphaGo (black) v. Fan Hui (white), 6 October 2015, AlphaGo won by resignation. Although the white stones at the lower-left corner could have been captured if black 135 had been placed at "a", AlphaGo's choice might be safer to win.
|First 99 moves|