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AlphaGo versus Ke Jie was a three-game Go match between the computer Go program AlphaGo Master and current world No. 1 ranking player Ke Jie, being part of the Future of Go Summit in Wuzhen, China, played on 23, 25, and 27 May 2017. [1] AlphaGo defeated Ke Jie in all three games. [2]
[20] [21] AlphaGo beat Ke Jie in the first game by half a point on 23 May 2017. The official scoring for the first match was 184 out of the 361 possible points in favor of Ke Jie, but the Chinese Go rule requires a Black victory of at least 4 over the 180.5 (i.e., 184.5 is the minimum for a Black victory). Ke Jie resigned in the second game ...
After winning its three-game match against Chinese grandmaster Ke Jie, the world's top Go player, AlphaGo was awarded professional 9-dan by Chinese Weiqi Association. [10] DeepMind announced that AlphaGo would retire, and DeepMind would disband the team that worked on Go and spend their time exploring new AI in other areas instead of Go.
After the match between AlphaGo and Ke Jie, DeepMind retired AlphaGo, while continuing AI research in other areas. [12] The self-taught AlphaGo Zero achieved a 100–0 victory against the early competitive version of AlphaGo, and its successor AlphaZero was perceived as the world's top player in Go by the end of the 2010s. [13] [14]
AlphaGo won the final match two days later. [27] [28] With this victory, AlphaGo became the first program to beat a 9 dan human professional in a game without handicaps on a full-sized board. In May 2017, AlphaGo beat Ke Jie, who at the time was ranked top in the world, [29] [30] in a three-game match during the Future of Go Summit. [31]
Ke Jie: China: 3rd MLily Cup: 2 January 2018 Park Junghwan: South Korea: 22nd LG Cup: 8 February 2018 Xie Erhao: China: 23rd Samsung Fire Cup: 5 December 2018 Ke Jie: China: 1st Tianfu Cup: 26 December 2018 Chen Yaoye: China: 4th Bailing Cup: 17 January 2019 Ke Jie: China: 23rd LG Cup: 14 February 2019 Yang Dingxin: China: 12th Chunlan Cup: 27 ...
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"Though having watched only a few matches, we received the impression that AlphaGo Zero plays more like a human than its predecessors," Mok said. [21] Chinese Go professional Ke Jie commented on the remarkable accomplishments of the new program: "A pure self-learning AlphaGo is the strongest. Humans seem redundant in front of its self-improvement."