Timeline of AlphaGo
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This is a timeline of AlphaGo, a computer program that plays the board game Go
Contents
Big picture
Time period | Development summary | More details |
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Full timeline
Year | Month and date | Event type | Details |
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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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See also
External links
References
- ↑ 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.
- ↑ 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.
- ↑ 3.0 3.1 3.2 "Google achieves AI 'breakthrough' by beating Go champion". BBC News. 27 January 2016.
- ↑ "Special Computer Go insert covering the AlphaGo v Fan Hui match" (PDF). British Go Journal. 2017. Retrieved 1 February 2016.
- ↑ "Special Computer Go insert covering the AlphaGo v Fan Hui match" (PDF). British Go Journal. Retrieved 1 February 2016.
- ↑ "Première défaite d'un professionnel du go contre une intelligence artificielle". Le Monde (in français). 27 January 2016.
- ↑ "Research Blog: AlphaGo: Mastering the ancient game of Go with Machine Learning". Google Research Blog. 27 January 2016.
- ↑ "Artificial intelligence: Go master Lee Se-dol wins against AlphaGo program". BBC News Online. 13 March 2016. Retrieved 13 March 2016.
- ↑ "Match 1 – Google DeepMind Challenge Match: Lee Sedol vs AlphaGo". 8 March 2016.
- ↑ "DeepMind's AlphaGo Zero Becomes Go Champion Without Human Input". futureoflife.org. Retrieved 5 April 2019.
- ↑ "AI: How big a deal is Google's latest AlphaGo breakthrough?". techrepublic.com. Retrieved 5 April 2019.
- ↑ 12.0 12.1 "AlphaGo". britgo.org. Retrieved 5 April 2019.
- ↑ "AN IMPROVED ALPHAGO WINS ITS FIRST GAME AGAINST THE WORLD'S TOP GO PLAYER". wired.com. Retrieved 5 April 2019.
- ↑ "DeepMind's AI beats world's best Go player in latest face-off". newscientist.com. Retrieved 5 April 2019.
- ↑ 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
- ↑ "Feature: One man's Go program looks to remake AlphaGo Zero - and beyond". Xinhuanet. 9 April 2018. Retrieved 5 April 2019.
- ↑ "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.
- ↑ "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.
- ↑ "프로 수준급 인공지능 바둑 프로그램 '릴라(Leela)' 무료 공개" (in Korean). Baduk News. 23 February 2017. Retrieved 5 April 2019.
- ↑ "릴라의 출현과 온라인 대국의 비극적인 종말..." (in Korean). Cyberoro. 3 March 2017. Retrieved 5 April 2019.
- ↑ 21.0 21.1 Template:Cite arXiv
- ↑ "AlphaGo teaching tool". DeepMind.
- ↑ 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.
- ↑ Template:Cite newspaper