Timeline of AlphaGo

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This is a timeline of AlphaGo, a computer program that plays the board game Go

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Year Month and date Event type Details
2015 October AlphaGo versus Fan Hui is held at DeepMind's headquarters in London.[1] The distributed version of AlphaGo defeates the European Go champion Fan Hui,[2] a 2-dan (out of 9 dan possible) professional, five to zero.[3][4] AlphaGo wins all the five games.[3][5] This is the first time a computer Go program beats a professional human player on a full-sized board without handicap.[6]
2015 October The original AlphaGo becomes the first computer Go program to beat a human professional Go player without handicaps on a full-sized 19×19 board.[7][3]
2016 March AlphaGo versus Lee Sedol takes place as a five-game Go match between 18-time world champion Lee Sedol and AlphaGo. Played in Seoul, South Korea between 9 and 15 March 2016, AlphaGo wins all but the fourth game.[8] This is the first time a computer Go program beats a 9-dan professional without handicaps.[9][10][11][12]
2017 January Under the pseudonym "Master", AlphaGo plays several of the world's top players in a series of online matches, including Ke Jie, winning all 60 of its completed contests.[13][14]
2017 October 19 AlphaGo's team publishes an article in the journal Nature, introducing AlphaGo Zero, a version created without using data from human games, and stronger than any previous version.[15]
2017 October 25 Leela Zero, a free and open-source computer Go software, is released. It is developed by Belgian programmer Gian-Carlo Pascutto,[16][17][18] the author of chess engine Sjeng and Go engine Leela.[19][20]
2017 October It is announced that AlphaGo Zero, armed with just the rules, has in 40 days become even better at Go than the original AlphaGo, without the help of game records.[12]
2017 December 5 DeepMind team releases a preprint on arXiv, introducing AlphaZero, a program using generalized AlphaGo Zero's approach, which achieved within 24 hours a superhuman level of play in chess, shogi, and Go, defeating world-champion programs, Stockfish, Elmo, and 3-day version of AlphaGo Zero in each case.[21]
2017 December DeepMind releases AlphaGo teaching tool on its website.[22] to analyze winning rates of different Go openings as calculated by AlphaGo Master.[23] The teaching tool collects 6,000 Go openings from 230,000 human games each analyzed with 10,000,000 simulations by AlphaGo Master. Many of the openings include human move suggestions.[23]
2017 December AlphaZero beats the 3-day version of AlphaGo Zero by winning 60 games to 40, and with 8 hours of training it outperformed AlphaGo Lee on an Elo scale. AlphaZero also defeats a top chess program (Stockfish) and a top Shōgi program (Elmo).[21][24]

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External links


  1. Metz, Cade (27 January 2016). "In Major AI Breakthrough, Google System Secretly Beats Top Player at the Ancient Game of Go". WIRED. Retrieved 1 February 2016. 
  2. Metz, Cade (27 January 2016). "In Major AI Breakthrough, Google System Secretly Beats Top Player at the Ancient Game of Go". WIRED. Retrieved 1 February 2016. 
  3. 3.0 3.1 3.2 "Google achieves AI 'breakthrough' by beating Go champion". BBC News. 27 January 2016. 
  4. "Special Computer Go insert covering the AlphaGo v Fan Hui match" (PDF). British Go Journal. 2017. Retrieved 1 February 2016. 
  5. "Special Computer Go insert covering the AlphaGo v Fan Hui match" (PDF). British Go Journal. Retrieved 1 February 2016. 
  6. "Première défaite d'un professionnel du go contre une intelligence artificielle". Le Monde (in français). 27 January 2016. 
  7. "Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning". Google Research Blog. 27 January 2016. 
  8. "Artificial intelligence: Go master Lee Se-dol wins against AlphaGo program". BBC News Online. 13 March 2016. Retrieved 13 March 2016. 
  9. "Match 1 – Google DeepMind Challenge Match: Lee Sedol vs AlphaGo". 8 March 2016. 
  10. "DeepMind's AlphaGo Zero Becomes Go Champion Without Human Input". futureoflife.org. Retrieved 5 April 2019. 
  11. "AI: How big a deal is Google's latest AlphaGo breakthrough?". techrepublic.com. Retrieved 5 April 2019. 
  12. 12.0 12.1 "AlphaGo". britgo.org. Retrieved 5 April 2019. 
  14. "DeepMind's AI beats world's best Go player in latest face-off". newscientist.com. Retrieved 5 April 2019. 
  15. Silver, David; Schrittwieser, Julian; Simonyan, Karen; Antonoglou, Ioannis; Huang, Aja; Guez, Arthur; Hubert, Thomas; Baker, Lucas; Lai, Matthew; Bolton, Adrian; Chen, Yutian; Lillicrap, Timothy; Fan, Hui; Sifre, Laurent; Driessche, George van den; Graepel, Thore; Hassabis, Demis (19 October 2017). "Mastering the game of Go without human knowledge". Nature. 550 (7676): 354–359. Bibcode:2017Natur.550..354S. ISSN 0028-0836. PMID 29052630. doi:10.1038/nature24270. Retrieved 10 December 2017. Template:Closed access
  16. "Feature: One man's Go program looks to remake AlphaGo Zero - and beyond". Xinhuanet. 9 April 2018. Retrieved 5 April 2019. 
  17. "围棋AI"丽拉"获赞接近职业棋手水准,它的作者竟是一个不太会下棋的程序员" (in 中文). Xinhuanet. 5 February 2018. Retrieved 5 April 2019. 
  18. "更开放,更共享,比利时围棋AI"丽拉·元"重塑"阿尔法元"" (in 中文). Xinhuanet. 8 April 2018. Retrieved 5 April 2019. 
  19. "프로 수준급 인공지능 바둑 프로그램 '릴라(Leela)' 무료 공개" (in Korean). Baduk News. 23 February 2017. Retrieved 5 April 2019. 
  20. "릴라의 출현과 온라인 대국의 비극적인 종말..." (in Korean). Cyberoro. 3 March 2017. Retrieved 5 April 2019. 
  21. 21.0 21.1 Template:Cite arXiv
  22. "AlphaGo teaching tool". DeepMind. 
  23. 23.0 23.1 "AlphaGo教学工具上线 樊麾:使用Master版本" (in Chinese). Sina.com.cn. 11 December 2017. Retrieved 11 December 2017. 
  24. Template:Cite newspaper