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'''Demis Hassabis''',<br/>
a British computer scientist, neuroscientist, [[Artificial Intelligence|artificial intelligence]] researcher, computer game developer, entrepeneurentrepreneur, and founder and CEO of [[DeepMind]] <ref>[https://twitter.com/demishassabis Demis Hassabis (@demishassabis) | Twitter]</ref>. He was a child prodigy in chess starting with age 4, with an Elo rating of 2300 at the age of 13, is an accomplished [[Shogi|shogi]] and [[Poker|poker]] player <ref>[http://demishassabis.com/biography/ DH - Bio]</ref>, and further won the [https://en.wikipedia.org/wiki/Mind_Sports_Olympiad Mind Sports Olympiad] in 1999, aged 23, and four more times in consecutive years <ref>[http://www.theguardian.com/technology/shortcuts/2014/jan/28/demis-hassabis-15-facts-deepmind-technologies-founder-google Demis Hassabis: 15 facts about the DeepMind Technologies founder | Technology] by [http://www.theguardian.com/profile/samuel-gibbs Samuel Gibbs], [[The Guardian]], January 28, 2014</ref>. At age 8, he baught his first computer, a [[ZX Spectrum]] from a prize money of a chess match, and made his first practical AI experiences in developing chess and [[Othello]] programs.
At age 16, Demis Hassabis began his game developer career at [https://en.wikipedia.org/wiki/Bullfrog_Productions Bullfrog Productions], working with [https://en.wikipedia.org/wiki/Peter_Molyneux Peter Molyneux] on [https://en.wikipedia.org/wiki/Theme_Park_%28video_game%29 Theme Park], later continuing his collaboration with Molyneux at [https://en.wikipedia.org/wiki/Lionhead_Studios Lionhead Studios] on [https://en.wikipedia.org/wiki/Black_%26_White_%28video_game%29 Black & White]. His further games [https://en.wikipedia.org/wiki/Republic:_The_Revolution Republic: The Revolution] and [https://en.wikipedia.org/wiki/Evil_Genius_%28video_game%29 Evil Genius] were already developed under his 1998 founded [https://en.wikipedia.org/wiki/Elixir_Studios Elixir Studios] . He graduated in computer science from [https://en.wikipedia.org/wiki/University_of_Cambridge University of Cambridge] in 1997 and defended his Ph.D. from [https://en.wikipedia.org/wiki/University_College_London University College London] in [https://en.wikipedia.org/wiki/Cognitive_neuroscience cognitive neuroscience] in 2009, followed by postdocs at [[Massachusetts Institute of Technology|MIT]] and [[Harvard University|Harvard]].
==2015 ...==
* [[Joel Z. Leibo]], [https://www.linkedin.com/in/juliencornebise Julien Cornebise], [https://scholar.google.com/citations?user=ETrjkSIAAAAJ&hl=en Sergio Gómez], [[Demis Hassabis]] ('''2015'''). ''Approximate Hubel-Wiesel Modules and the Data Structures of Neural Computation''. [http://arxiv.org/abs/1512.08457 arXiv:1512.08457] <ref>[https://en.wikipedia.org/wiki/Cortical_column#Hubel_and_Wiesel_studies Cortical column - Hubel and Wiesel studies - Wikipedia]</ref>
* [[Volodymyr Mnih]], [[Koray Kavukcuoglu]], [[David Silver]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Joel Veness]], [[Marc G. Bellemare]], [[Alex Graves]], [[Martin Riedmiller]], [[Andreas K. Fidjeland]], [[Georg Ostrovski]], [[Stig Petersen]], [[Charles Beattie]], [[Amir Sadik]], [[Ioannis Antonoglou]], [[Helen King]], [[Dharshan Kumaran]], [[Daan Wierstra]], [[Shane Legg]], [[Demis Hassabis]] ('''2015'''). ''[http://www.nature.com/nature/journal/v518/n7540/abs/nature14236.html Human-level control through deep reinforcement learning]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 518
'''2016'''
* [[Dharshan Kumaran]], [[Demis Hassabis]], [[James L. McClelland]] ('''2016'''). ''What learning systems do intelligent agents need? Complementary Learning Systems Theory Updated''. [https://en.wikipedia.org/wiki/Trends_in_Cognitive_Sciences Trends in Cognitive Sciences], Vol. 20, No. 7, [https://drive.google.com/file/d/0B-Nvsz4idhaeVEZYMEVaWkFjLVU/view pdf]
* [[David Silver]], [[Shih-Chieh Huang|Aja Huang]], [[Chris J. Maddison]], [[Arthur Guez]], [[Laurent Sifre]], [[George van den Driessche]], [[Julian Schrittwieser]], [[Ioannis Antonoglou]], [[Veda Panneershelvam]], [[Marc Lanctot]], [[Sander Dieleman]], [[Dominik Grewe]], [[John Nham]], [[Nal Kalchbrenner]], [[Ilya Sutskever]], [[Timothy Lillicrap]], [[Madeleine Leach]], [[Koray Kavukcuoglu]], [[Thore Graepel]], [[Demis Hassabis]] ('''2016'''). ''[http://www.nature.com/nature/journal/v529/n7587/full/nature16961.html Mastering the game of Go with deep neural networks and tree search]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 529
* [[James Kirkpatrick]], [[Mathematician#RPascanu|Razvan Pascanu]], [[Neil C. Rabinowitz]], [[Joel Veness]], [[Guillaume Desjardins]], [[Mathematician#AARusu|Andrei A. Rusu]], [[Kieran Milan]], [[John Quan]], [[Tiago Ramalho]], [[Agnieszka Grabska-Barwinska]], [[Demis Hassabis]], [[Claudia Clopath]], [[Dharshan Kumaran]], [[Mathematician#RHadsell|Raia Hadsell]] ('''2016'''). ''Overcoming catastrophic forgetting in neural networks''. [https://arxiv.org/abs/1612.00796 arXiv:1612.00796]
'''2017'''
* [[David Silver]], [[Julian Schrittwieser]], [[Karen Simonyan]], [[Ioannis Antonoglou]], [[Shih-Chieh Huang|Aja Huang]], [[Arthur Guez]], [[Thomas Hubert]], [[Lucas Baker]], [[Matthew Lai]], [[Adrian Bolton]], [[Yutian Chen]], [[Timothy Lillicrap]], [[Fan Hui]], [[Laurent Sifre]], [[George van den Driessche]], [[Thore Graepel]], [[Demis Hassabis]] ('''2017'''). ''[https://www.nature.com/nature/journal/v550/n7676/full/nature24270.html Mastering the game of Go without human knowledge]''. [https://en.wikipedia.org/wiki/Nature_%28journal%29 Nature], Vol. 550 <ref>[https://deepmind.com/blog/alphago-zero-learning-scratch/ AlphaGo Zero: Learning from scratch] by [[Demis Hassabis]] and [[David Silver]], [[DeepMind]], October 18, 2017</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]] ('''2017'''). ''Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm''. [https://arxiv.org/abs/1712.01815 arXiv:1712.01815] » [[AlphaZero]]
'''2018'''
* [[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'''
* [[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]
==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]
* [[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>
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