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Created page with "'''Home * People * Thore Graepel''' FILE:ThoreGraepel.jpg|border|right|thumb|200px|link=http://www.many21.co.uk/Thore Graepel <ref>[http://www.many21.co.u..."
'''[[Main Page|Home]] * [[People]] * Thore Graepel'''
[[FILE:ThoreGraepel.jpg|border|right|thumb|200px|link=http://www.many21.co.uk/Thore Graepel <ref>[http://www.many21.co.uk/ Thore Graepel]</ref> ]]
'''Thore Graepel''',<br/>
a German physicist and computer scientist, professor of [[Learning|machine learning]] at [https://en.wikipedia.org/wiki/University_College_London University College London], and research lead at [[Google]] [[DeepMind]], where he is involved in the [[AlphaGo]] and [[AlphaZero]] projects mastering the games of [[Go]], [[Chess|chess]] and [[Shogi]]. Thore Graepel received his Ph.D. in machine learning from [https://en.wikipedia.org/wiki/Technical_University_of_Berlin TU Berlin] in 2001. Before joining DeepMind, he was head of the [https://en.wikipedia.org/wiki/Online_advertising online services and advertising] (OSA) research group at [[Microsoft]] [https://en.wikipedia.org/wiki/Microsoft_Research#Research_laboratories Research Cambridge]. His research interests include [https://en.wikipedia.org/wiki/Statistical_model probabilistic models], [https://en.wikipedia.org/wiki/Knowledge_representation_and_reasoning knowledge representation and reasoning], aspects of [https://en.wikipedia.org/wiki/Behavioral_game_theory behavioural game theory], [https://en.wikipedia.org/wiki/Crowdsourcing crowdsourcing], and [https://en.wikipedia.org/wiki/Psychometrics psychometrics] <ref>[https://www.psychometrics.cam.ac.uk/about-us/directory/thore-graepel Dr Thore Graepel — The Psychometrics Centre]</ref>. As a Go player, he was passionate about creating a computer program that plays the game of Go better than the best human players <ref>[http://www.aimsaconference.org/aimsa2010/invited.php Keynote talk - Learning to Play: Machine Learning and Computer Games], [http://www.aimsaconference.org/aimsa2010/ AIMSA 2010]</ref>, and when joining Google, he was the first guy who lost against the "neural network" <ref>[https://www.wired.com/2017/05/googles-alphago-trounces-humans-also-gives-boost/ Google’s AlphaGo Trounces Humans—But It Also Gives Them a Boost] by [https://www.wired.com/author/cade-metz/ Cade Metz], [https://en.wikipedia.org/wiki/Wired_(magazine) Wired], May 26, 2017</ref>.
=Selected Publications=
<ref>[http://dblp.uni-trier.de/pers/hd/g/Graepel:Thore dblp: Thore Graepel]</ref>
==2000 ...==
* [[Michael Bowling]], [[Johannes Fürnkranz]], [[Thore Graepel]], [http://dblp.uni-trier.de/pers/hd/m/Musick:Ron Ron Musick] ('''2006'''). ''[https://link.springer.com/article/10.1007/s10994-006-8919-x Machine learning and Games]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 63, No. 3
==2010 ...==
* [[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 » [[AlphaGo]]
* [[Marc Lanctot]], [[Vinícius Flores Zambaldi]], [[Audrunas Gruslys]], [[Angeliki Lazaridou]], [[Karl Tuyls]], [[Julien Pérolat]], [[David Silver]], [[Thore Graepel]] ('''2017'''). ''A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning''. [https://arxiv.org/abs/1711.00832 arXiv:1711.00832]
* [[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
* [[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]]
=External Links=
* [http://www.many21.co.uk/ Thore Graepel]
* [https://www.linkedin.com/in/thoregraepel/ Thore Graepel | LinkedIn]
* [https://scholar.google.co.uk/citations?user=PNH24toAAAAJ&hl=en Thore Graepel - Google Scholar Citations]
* [https://www.wired.com/2017/05/googles-alphago-trounces-humans-also-gives-boost/ Google’s AlphaGo Trounces Humans—But It Also Gives Them a Boost] by [https://www.wired.com/author/cade-metz/ Cade Metz], [https://en.wikipedia.org/wiki/Wired_(magazine) Wired], May 26, 2017
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:ThoreGraepel.jpg|border|right|thumb|200px|link=http://www.many21.co.uk/Thore Graepel <ref>[http://www.many21.co.uk/ Thore Graepel]</ref> ]]
'''Thore Graepel''',<br/>
a German physicist and computer scientist, professor of [[Learning|machine learning]] at [https://en.wikipedia.org/wiki/University_College_London University College London], and research lead at [[Google]] [[DeepMind]], where he is involved in the [[AlphaGo]] and [[AlphaZero]] projects mastering the games of [[Go]], [[Chess|chess]] and [[Shogi]]. Thore Graepel received his Ph.D. in machine learning from [https://en.wikipedia.org/wiki/Technical_University_of_Berlin TU Berlin] in 2001. Before joining DeepMind, he was head of the [https://en.wikipedia.org/wiki/Online_advertising online services and advertising] (OSA) research group at [[Microsoft]] [https://en.wikipedia.org/wiki/Microsoft_Research#Research_laboratories Research Cambridge]. His research interests include [https://en.wikipedia.org/wiki/Statistical_model probabilistic models], [https://en.wikipedia.org/wiki/Knowledge_representation_and_reasoning knowledge representation and reasoning], aspects of [https://en.wikipedia.org/wiki/Behavioral_game_theory behavioural game theory], [https://en.wikipedia.org/wiki/Crowdsourcing crowdsourcing], and [https://en.wikipedia.org/wiki/Psychometrics psychometrics] <ref>[https://www.psychometrics.cam.ac.uk/about-us/directory/thore-graepel Dr Thore Graepel — The Psychometrics Centre]</ref>. As a Go player, he was passionate about creating a computer program that plays the game of Go better than the best human players <ref>[http://www.aimsaconference.org/aimsa2010/invited.php Keynote talk - Learning to Play: Machine Learning and Computer Games], [http://www.aimsaconference.org/aimsa2010/ AIMSA 2010]</ref>, and when joining Google, he was the first guy who lost against the "neural network" <ref>[https://www.wired.com/2017/05/googles-alphago-trounces-humans-also-gives-boost/ Google’s AlphaGo Trounces Humans—But It Also Gives Them a Boost] by [https://www.wired.com/author/cade-metz/ Cade Metz], [https://en.wikipedia.org/wiki/Wired_(magazine) Wired], May 26, 2017</ref>.
=Selected Publications=
<ref>[http://dblp.uni-trier.de/pers/hd/g/Graepel:Thore dblp: Thore Graepel]</ref>
==2000 ...==
* [[Michael Bowling]], [[Johannes Fürnkranz]], [[Thore Graepel]], [http://dblp.uni-trier.de/pers/hd/m/Musick:Ron Ron Musick] ('''2006'''). ''[https://link.springer.com/article/10.1007/s10994-006-8919-x Machine learning and Games]''. [https://en.wikipedia.org/wiki/Machine_Learning_(journal) Machine Learning], Vol. 63, No. 3
==2010 ...==
* [[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 » [[AlphaGo]]
* [[Marc Lanctot]], [[Vinícius Flores Zambaldi]], [[Audrunas Gruslys]], [[Angeliki Lazaridou]], [[Karl Tuyls]], [[Julien Pérolat]], [[David Silver]], [[Thore Graepel]] ('''2017'''). ''A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning''. [https://arxiv.org/abs/1711.00832 arXiv:1711.00832]
* [[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
* [[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]]
=External Links=
* [http://www.many21.co.uk/ Thore Graepel]
* [https://www.linkedin.com/in/thoregraepel/ Thore Graepel | LinkedIn]
* [https://scholar.google.co.uk/citations?user=PNH24toAAAAJ&hl=en Thore Graepel - Google Scholar Citations]
* [https://www.wired.com/2017/05/googles-alphago-trounces-humans-also-gives-boost/ Google’s AlphaGo Trounces Humans—But It Also Gives Them a Boost] by [https://www.wired.com/author/cade-metz/ Cade Metz], [https://en.wikipedia.org/wiki/Wired_(magazine) Wired], May 26, 2017
=References=
<references />
'''[[People|Up one level]]'''
