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* [[Shinichi Sei]], [[Toshiaki Kawashima]] ('''1998'''). ''Memory-Based Approach in Go-program KATSUNARI''. Fujitsu Social Science Laboratory, [http://usapyon.game.coocan.jp/katsunari/paper/cg98ws.pdf pdf]
* [[Morihiko Tajima]], [[Noriaki Sanechika]] ('''1998'''). ''[http://link.springer.com/chapter/10.1007/3-540-48957-6_18 Estimating the Possible Omission Number for Groups in Go by the Number of n -th Dame]''. [[CG 1998]]
* [[Norman Richards]], [[David E. Moriarty]], [[Risto Miikkulainen]] ('''1998'''). ''[http://nn.cs.utexas.edu/?richards:apin98 Evolving Neural Networks to Play Go]''. [https://www.springer.com/journal/10489 Applied Intelligence], Vol. 8, No. 1
'''1999'''
* [[Keh-Hsun Chen|Ken Chen]], [[Zhixing Chen]] ('''1999'''). ''Static Analysis of Life and Death in the Game of Go''. [https://www.journals.elsevier.com/information-sciences Information Sciences], Vol. 121, Nos. 1-2, [https://webdocs.cs.ualberta.ca/~games/go/seminar/2002/020703/ld.pdf pdf]
* [[Erik van der Werf]] ('''2004'''). ''AI techniques for the game of Go.'' Ph.D. thesis, [[Maastricht University|Universiteit Maastricht]], Maastricht, The Netherlands. ISBN 90 5278 445 0, [http://erikvanderwerf.tengen.nl/pubdown/thesis_erikvanderwerf.pdf pdf]
* [[Bruno Bouzy]] ('''2004'''). ''Toward a go player computational model.'' Habilitation to Supervise Research document, [https://en.wikipedia.org/wiki/Paris_VI_University Paris 6 University]
* [[Kenneth O. Stanley]], [[Risto Miikkulainen]] ('''2004'''). ''[http://nn.cs.utexas.edu/?stanley:gecco04 Evolving a Roving Eye for Go]''. [https://dblp.uni-trier.de/db/conf/gecco/gecco2004-2.html GECCO 2004]
==2005 ...==
* [[Tristan Cazenave]], [[Bernard Helmstetter]] ('''2005'''). ''Combining tactical search and Monte-Carlo in the game of Go''. IEEE [http://www.informatik.uni-trier.de/~ley/db/conf/cig/cig2005.html#CazenaveH05 CIG 2005], [http://www.ai.univ-paris8.fr/~bh/articles/searchmcgo.pdf pdf], [http://www.lamsade.dauphine.fr/~cazenave/papers/searchmcgo.pdf pdf]
* [[Chang-Shing Lee]], [[Mei-Hui Wang]], [[Li-Chuang Chen]], [[Yusuke Nojima]], [[Tzong-Xiang Huang]], [[Jinseok Woo]], [[Naoyuki Kubota]], [[Eri Sato-Shimokawara]], [[Toru Yamaguchi]] ('''2019'''). ''A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go''. [http://export.arxiv.org/abs/1901.07191 arXiv:1901.07191]
* [[Yuandong Tian]], [[Jerry Ma]], [[Qucheng Gong]], [[Shubho Sengupta]], [[Zhuoyuan Chen]], [[James Pinkerton]], [[C. Lawrence Zitnick]] ('''2019'''). ''ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero''. [https://arxiv.org/abs/1902.04522 arXiv:1902.04522] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=7&t=69895 ELF OpenGo: An Open Reimplementation of AlphaZero] by Carl Lumma, [[CCC]], February 13, 2019</ref> <ref>[https://github.com/pytorch/ELF GitHub - pytorch/ELF: ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation]</ref>
* [[David J. Wu]] ('''2019'''). ''Accelerating Self-Play Learning in Go''. [https://arxiv.org/abs/1902.10565 arXiv:1902.10565]<ref>[https://groups.google.com/g/lczero/c/gecAk5DflmE/m/lUGWpjZXBwAJ KataGo] by [[Warren D. Smith]], [[Computer Chess Forums|LCZero Forum]], March 16, 2021</ref>
* [[Yusaku Mandai]], [[Tomoyuki Kaneko]] ('''2019'''). ''RankNet for evaluation functions of the game of Go''. [[ICGA Journal#41_2|ICGA Journal, Vol. 41, No. 2]]
* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2019'''). ''Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model''. [https://arxiv.org/abs/1911.08265 arXiv:1911.08265] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72381 New DeepMind paper] by GregNeto, [[CCC]], November 21, 2019</ref>
* [[Hsiao-Chung Hsieh]], [[Ti-Rong Wu]], [[Ting-Han Wei]], [[I-Chen Wu]] ('''2019'''). ''Net2Net Extension for the AlphaGo Zero Algorithm''. [[Advances in Computer Games 16]]
==2020 ...==
* [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Thomas Hubert]], [[Karen Simonyan]], [[Laurent Sifre]], [[Simon Schmitt]], [[Arthur Guez]], [[Edward Lockhart]], [[Demis Hassabis]], [[Thore Graepel]], [[Timothy Lillicrap]], [[David Silver]] ('''2020'''). ''[https://www.nature.com/articles/s41586-020-03051-4 Mastering Atari, Go, chess and shogi by planning with a learned model]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 588 <ref>[https://deepmind.com/blog/article/muzero-mastering-go-chess-shogi-and-atari-without-rules?fbclid=IwAR3mSwrn1YXDKr9uuGm2GlFKh76wBilex7f8QvBiQecwiVmAvD6Bkyjx-rE MuZero: Mastering Go, chess, shogi and Atari without rules]</ref>
* [[Tristan Cazenave]], [[Julien Sentuc]], [[Mathurin Videau]] ('''2021'''). ''Cosine Annealing, Mixnet and Swish Activation for Computer Go''. [[Advances in Computer Games 17]]
=Forum Posts=
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=69895 ELF OpenGo: An Open Reimplementation of AlphaZero] by Carl Lumma, [[CCC]], February 13, 2019
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=70899 Why are super top professional Go players so stupid?] by [[Kai Laskos]], [[CCC]], June 02, 2019
* [http://www.talkchess.com/forum3/viewtopic.php?f=2&t=72197 Some words on Leela Go Zero] by [[Kai Laskos]], [[CCC]], October 28, 2019 » [[Leela Zero]]
==2020 ...==
* [https://groups.google.com/g/lczero/c/gecAk5DflmE/m/lUGWpjZXBwAJ KataGo] by [[Warren D. Smith]], [[Computer Chess Forums|LCZero Forum]], March 16, 2021
=External Links=
* [https://github.com/Tencent/PhoenixGo GitHub - Tencent/PhoenixGo: Go AI program which implements the AlphaGo Zero paper]
* [https://github.com/pytorch/ELF GitHub - pytorch/ELF: ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation] <ref>[[Yuandong Tian]], [[Jerry Ma]], [[Qucheng Gong]], [[Shubho Sengupta]], [[Zhuoyuan Chen]], [[James Pinkerton]], [[C. Lawrence Zitnick]] ('''2019'''). ''ELF OpenGo: An Analysis and Open Reimplementation of AlphaZero''- [https://arxiv.org/abs/1902.04522 arXiv:1902.04522]</ref>
* [https://github.com/lightvector/KataGo GitHub - lightvector/KataGo: GTP engine and self-play learning in Go]
==Misc==
* [http://www.win.tue.nl/~engels/go/variants.html Go Variants]
'''[[Games|Up one Level]]'''
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