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==2018==
* [[George Rajna]] ('''2018'''). ''AlphaZero Just Playing''. [http://vixra.org/abs/1802.0330 viXra:1802.0330]
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis HassabisMathematician#VGCerf|Vinton G. Cerf]] ('''2018'''). ''[httphttps://sciencecacm.sciencemagacm.org/contentmagazines/3622018/64197/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self229041-on-neural-playnetworks/fulltext On Neural Networks]''. [https://en.wikipedia.org/wiki/Science_(journal) Science[ACM#Communications|Communications of the ACM]], Vol. 36261, No. 6419 <ref>7** [[Hermann Kaindl]] ('''2018'''). ''[https://deepmindcacm.acm.comorg/magazines/blog2018/alphazero12/232884-sheddingreclaim-newinternet-lightgreatness/fulltext Comment -grand-games-chess-shogi-and-go/ AlphaZero: Shedding new light on the grand games of chess, shogi and GoLookahead Search for Computer Chess] by ''. [[David SilverACM#Communications|Communications of the ACM]], [[Thomas Hubert]]Vol. 61, [[Julian Schrittwieser]] and [[Demis Hassabis]], [[DeepMind]], December 03, 2018</ref>No. 12
* [[Garry Kasparov]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1087 Chess, a Drosophila of reasoning]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419
* [[Murray Campbell]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1118 Mastering board games]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419
* [[Nai-Yuan Chang]], [[Chih-Hung Chen]], [[Shun-Shii Lin]], [[Surag Nair]] ('''2018'''). ''[https://dl.acm.org/citation.cfm?id=3278325 The Big Win Strategy on Multi-Value Network: An Improvement over AlphaZero Approach for 6x6 Othello]''. [https://dl.acm.org/citation.cfm?id=3278312 MLMI2018]
* [[Yen-Chi Chen]], [[Chih-Hung Chen]], [[Shun-Shii Lin]] ('''2018'''). ''[https://dl.acm.org/citation.cfm?id=3293486 Exact-Win Strategy for Overcoming AlphaZero]''. [https://dl.acm.org/citation.cfm?id=3293475 CIIS 2018] <ref>[https://github.com/LeelaChessZero/lc0/issues/799 "Exact-Win Strategy for Overcoming AlphaZero" · Issue #799 · LeelaChessZero/lc0 · GitHub]</ref>
* [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Matthew Lai]], [[Arthur Guez]], [[Marc Lanctot]], [[Laurent Sifre]], [[Dharshan Kumaran]], [[Thore Graepel]], [[Timothy Lillicrap]], [[Karen Simonyan]], [[Demis Hassabis]] ('''2018'''). ''[http://science.sciencemag.org/content/362/6419/1140 A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play]''. [https://en.wikipedia.org/wiki/Science_(journal) Science], Vol. 362, No. 6419 <ref>[https://deepmind.com/blog/alphazero-shedding-new-light-grand-games-chess-shogi-and-go/ AlphaZero: Shedding new light on the grand games of chess, shogi and Go] by [[David Silver]], [[Thomas Hubert]], [[Julian Schrittwieser]] and [[Demis Hassabis]], [[DeepMind]], December 03, 2018</ref>
==2019==
* [[Matthew Sadler]], [https://www.youtube.com/watch?v=waBxmWI85YI [Natasha Regan]] ('''2019'''). ''[https://www.newinchess.com/game-changer Game Changer: AlphaZero's Groundbreaking Chess Strategies and the Promise of AI]''. [https://en.wikipedia.org/wiki/New_In_Chess New In Chess]* [[Marc Lanctot]], [[Edward Lockhart]], [[Jean-Baptiste Lespiau]], [[Vinicius Vinícius Flores Zambaldi]], [[Satyaki Upadhyay]], [[Julien Pérolat]], [[Sriram Srinivasan]], [[Finbarr Timbers]], [[Karl Tuyls]], [[Shayegan Omidshafiei]], [[Daniel Hennes]], [[Dustin Morrill]], [[Paul Muller]], [[Timo Ewalds]], [[Ryan Faulkner]], [[János Kramár]], [[Bart De Vylder]], [[Brennan Saeta]], [[James Bradbury]], [[David Ding]], [[Sebastian Borgeaud]], [[Matthew Lai]], [[Julian Schrittwieser]], [[Thomas Anthony]], [[Edward Hughes]], [[Ivo Danihelka]], [[Jonah Ryan-Davis]] ('''2019'''). ''OpenSpiel: A Framework for Reinforcement Learning in Games''. [https://arxiv.org/abs/1908.09453 arXiv:1908.09453] <ref>[https://github.com/deepmind/open_spiel/blob/master/docs/contributing.md open_spiel/contributing.md at master · deepmind/open_spiel · GitHub]</ref>
==2020 ...==
* [[Nenad Tomašev]], [[Ulrich Paquet]], [[Demis Hassabis]], [[Vladimir Kramnik]] ('''2020'''). ''Assessing Game Balance with AlphaZero: Exploring Alternative Rule Sets in Chess''. [https://arxiv.org/abs/2009.04374 arXiv:2009.04374]
* [[Johannes Czech]], [[Patrick Korus]], [[Kristian Kersting]] ('''2020'''). ''Monte-Carlo Graph Search for AlphaZero''. [https://arxiv.org/abs/2012.11045 arXiv:2012.11045] » [[CrazyAra]]
* [[Johannes Czech]], [[Patrick Korus]], [[Kristian Kersting]] ('''2021'''). ''[https://ojs.aaai.org/index.php/ICAPS/article/view/15952 Improving AlphaZero Using Monte-Carlo Graph Search]''. [https://ojs.aaai.org/index.php/ICAPS/issue/view/380 Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling], Vol. 31, [https://www.ml.informatik.tu-darmstadt.de/papers/czech2021icaps_mcgs.pdf pdf]
* [[Dominik Klein]] ('''2021'''). ''[https://github.com/asdfjkl/neural_network_chess Neural Networks For Chess]''. [https://github.com/asdfjkl/neural_network_chess/releases/tag/v1.1 Release Version 1.1 · GitHub] <ref>[https://www.talkchess.com/forum3/viewtopic.php?f=2&t=78283 Book about Neural Networks for Chess] by dkl, [[CCC]], September 29, 2021</ref>
* [[Thomas McGrath]], [[Andrei Kapishnikov]], [[Nenad Tomašev]], [[Adam Pearce]], [[Demis Hassabis]], [[Been Kim]], [[Ulrich Paquet]], [[Vladimir Kramnik]] ('''2021'''). ''Acquisition of Chess Knowledge in AlphaZero''. [https://arxiv.org/abs/2111.09259 arXiv:2111.09259] <ref>[https://en.chessbase.com/post/acquisition-of-chess-knowledge-in-alphazero Acquisition of Chess Knowledge in AlphaZero], [[ChessBase|ChessBase News]], November 18, 2021</ref>
* [[Nenad Tomašev]], [[Ulrich Paquet]], [[Demis Hassabis]], [[Vladimir Kramnik]] ('''2022'''). ''[https://cacm.acm.org/magazines/2022/2/258230-reimagining-chess-with-alphazero/fulltext Reimagining Chess with AlphaZero]''. [[ACM#Communications|Communications of the ACM]], Vol. 65, No. 2
=Forum Posts=
: {{#evu:https://www.youtube.com/watch?v=7L2sUGcOgh0|alignment=left|valignment=top}}
==OpenSpiel==
* [https://github.com/deepmind/open_spiel GitHub - deepmind/open_spiel: OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games] <ref>[[Marc Lanctot]], [[Edward Lockhart]], [[Jean-Baptiste Lespiau]], [[Vinicius Vinícius Flores Zambaldi]], [[Satyaki Upadhyay]], [[Julien Pérolat]], [[Sriram Srinivasan]], [[Finbarr Timbers]], [[Karl Tuyls]], [[Shayegan Omidshafiei]], [[Daniel Hennes]], [[Dustin Morrill]], [[Paul Muller]], [[Timo Ewalds]], [[Ryan Faulkner]], [[János Kramár]], [[Bart De Vylder]], [[Brennan Saeta]], [[James Bradbury]], [[David Ding]], [[Sebastian Borgeaud]], [[Matthew Lai]], [[Julian Schrittwieser]], [[Thomas Anthony]], [[Edward Hughes]], [[Ivo Danihelka]], [[Jonah Ryan-Davis]] ('''2019'''). ''OpenSpiel: A Framework for Reinforcement Learning in Games''. [https://arxiv.org/abs/1908.09453 arXiv:1908.09453]</ref>
** [https://github.com/deepmind/open_spiel/tree/master/open_spiel/algorithms open_spiel/open_spiel/algorithms at master · deepmind/open_spiel · GitHub]
*** [https://github.com/deepmind/open_spiel/tree/master/open_spiel/algorithms/alpha_zero open_spiel/open_spiel/algorithms/alpha_zero at master · deepmind/open_spiel · GitHub]
