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'''[[Main Page|Home]] * [[People]] * Sylvain Gelly'''
[[FILE:SylvainGelly.JPG|border|right|thumb|Sylvain Gelly <ref>Capture from the [[12th Computer Olympiad]] [[#Video|Video]] interview</ref> ]]
'''Sylvain Gelly''',<br/>
a French computer scientist, [[Deep Learning|deep learning]] researcher at [https://en.wikipedia.org/wiki/Google_Brain Google Brain] [https://en.wikipedia.org/wiki/Z%C3%BCrich Zurich] <ref>[https://www.linkedin.com/in/sylvain-gelly-624a5458/ Sylvain Gelly | LinkedIn]</ref>, and former member of the ''Learning and Optimisation Group (A&O)'' <ref>[http://www.lri.fr/equipe_en.php?eq=7 Laboratoire de Recherche en Informatique - A&O Group]</ref> in the [http://fr.wikipedia.org/wiki/Laboratoire_de_recherche_en_informatique Laboratoire de recherche en informatique (LRI)] under the direction of [[Michèle Sebag]] and [[Nicolas Bredèche]] at [[University of Paris#11|Paris-Sud 11 University]]. He defended his Ph.D. thesis ''A Contribution to Reinforcement Learning; Application to Computer Go'' in 2007 <ref>[[Sylvain Gelly]] ('''2007'''). ''A Contribution to Reinforcement Learning; Application to Computer Go.'' Ph.D. thesis, [http://www.lri.fr/~gelly/paper/SylvainGellyThesis.pdf pdf]</ref>. His research interests covers [[Learning|machine learning]] and he is one of the authors of ''OpenDP'' <ref>[http://www.lri.fr/~gelly/OpenDP.htm Sylvain Gelly's Home Page - OpenDP, a free stochastic dynamic programming tool for stochastic dynamic programming.]</ref>, a general and featured framework of [[Reinforcement Learning|reinforcement learning]], and in particular of [[Dynamic Programming|dynamic programming]], and co-authored the top level [[Go]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=515 Mogo], using [[Monte-Carlo Tree Search]] which uses patterns in the simulations and improvements in [[UCT]] <ref>[http://www.lri.fr/~gelly/MoGo.htm Sylvain Gelly's home page - MoGo]</ref><ref>[http://www.lri.fr/~teytaud/mogo.html MoGo: a software for the Game of Go]</ref>.
=Selected Publications=
<ref>[http://www.lri.fr/~gelly/Publications.htm Sylvain Gelly's Home Page - Publications]</ref> <ref>[http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/g/Gelly:Sylvain.html DBLP: Sylvain Gelly]</ref> <ref>[http://eprints.pascal-network.org/perl/user_eprints?userid=600 PASCAL - EPrints submitted by Sylvain Gelly]</ref> <ref>[http://academic.research.microsoft.com/Author/540755/sylvain-gelly Sylvain Gelly] from [[Microsoft Academic Search]]</ref> <ref>[http://www.grappa.univ-lille3.fr/~mary/research.php Jeremie's Foundry - Jeremie Mary Research Homepage - Publications]</ref>
==2005 ...==
* [[Sylvain Gelly]], [[Nicolas Bredèche]], [[Michèle Sebag]] ('''2005'''). ''From Factorial and Hierarchical HMM to Bayesian Network : A Representation Change Algorithm''. Proceedings of the Symposium on Abstraction, Reformulation and Approximation 2005, p107-120 ([http://www.informatik.uni-trier.de/~ley/db/conf/sara/sara2005.html#GellyBS05 SARA 2005]). Reprinted in [https://en.wikipedia.org/wiki/Lecture_Notes_in_Computer_Science Lecture Notes in Computer Science], Vol. 3607
'''2006'''
* [[Sylvain Gelly]], [[Olivier Teytaud]], [[Nicolas Bredèche]], [[Marc Schoenauer]] ('''2006'''). ''Universal Consistency and Bloat in GP. Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint.'' [http://www.lri.fr/~gelly/paper/riabloat.pdf pdf (draft)]
* [[Sylvain Gelly]], [[Olivier Teytaud]] ('''2006'''). ''Bayesian networks : a better than frequentist approach for parametrization, and a more accurate structural complexity measure than the number of parameters''. [http://www.lri.fr/~gelly/paper/BN_RIA.pdf pdf (draft)]
* [[Sylvain Gelly]], [[Jérémie Mary]], [[Olivier Teytaud]] ('''2006'''). ''Learning for stochastic dynamic programming''. [http://www.lri.fr/~gelly/paper/lfordp.pdf pdf]
* [[Sylvain Gelly]], [[Jérémie Mary]], [[Olivier Teytaud]] ('''2006'''). ''On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy.'' PPSN, 2006, [http://www.grappa.univ-lille3.fr/~mary/paper/ppsn06.pdf pdf]
* [[Olivier Teytaud]], [[Sylvain Gelly]] ('''2006'''). ''General lower bounds for evolutionary algorithms.'' [http://www.lri.fr/~gelly/paper/lblong.pdf pdf]
* [[Sylvain Gelly]], [[Yizao Wang]] ('''2006'''). ''Exploration exploitation in Go: UCT for Monte-Carlo Go''. [http://www.lri.fr/~gelly/paper/nips_exploration_exploitation_mogo.pdf pdf]
* [[Sylvain Gelly]], [[Yizao Wang]], [[Rémi Munos]], [[Olivier Teytaud]] ('''2006'''). ''Modification of UCT with Patterns in Monte-Carlo Go''. [http://hal.inria.fr/inria-00117266 INRIA]
'''2007'''
* [[Yizao Wang]], [[Sylvain Gelly]] ('''2007'''). ''Modifications of UCT and Sequence-Like Simulations for Monte-Carlo Go''. IEEE Symposium on Computational Intelligence and Games, Honolulu, USA, 2007, [http://www.stat.lsa.umich.edu/~yizwang/publications/wang07modifications.pdf pdf]
* [[Sylvain Gelly]], [[Yizao Wang]] ('''2007'''). ''MoGo wins 19x19 Go tournament''. [[ICGA Journal#30_2|ICGA Journal, Vol. 30, No. 2]] » [[12th Computer Olympiad#Go|12th Computer Olympiad]]
* [[Sylvain Gelly]] ('''2007'''). ''A Contribution to Reinforcement Learning; Application to Computer Go.'' Ph.D. thesis, [http://www.lri.fr/~gelly/paper/SylvainGellyThesis.pdf pdf]
* [[Sylvain Gelly]], [[David Silver]] ('''2007'''). ''Combining Online and Offline Knowledge in UCT.'' [http://www.machinelearning.org/proceedings/icml2007/papers/387.pdf pdf]
* [[Sylvain Gelly]], [[Olivier Teytaud]], [[Jérémie Mary]] ('''2007'''). ''Active learning in regression, with application to stochastic dynamic programming''. ICINCO and CAP, 2007, [http://www.grappa.univ-lille3.fr/~mary/paper/ldsfordp.pdf pdf]
'''2008'''
* [[Sylvain Gelly]], [[David Silver]] ('''2008'''). ''Achieving Master Level Play in 9 x 9 Computer Go.'' [http://www.lri.fr/~gelly/paper/MoGoNectar.pdf pdf]
* [[Guillaume Chaslot]], [[Louis Chatriot]], [[Christophe Fiter]], [[Sylvain Gelly]], [[Jean-Baptiste Hoock]], [[Julien Pérez]], [[Arpad Rimmel]], [[Olivier Teytaud]] ('''2008'''). ''Combining expert, offline, transient and online knowledge in Monte-Carlo exploration''. [http://www.lri.fr/~teytaud/eg.pdf pdf]
* [[Sylvain Gelly]], [[Jean-Baptiste Hoock]], [[Arpad Rimmel]], [[Olivier Teytaud]], [http://fr.linkedin.com/pub/yann-kalemkarian/7/7aa/716 Yann Kalemkarian] ('''2008'''). ''The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning''. ICINCO-ICSO 2008: 244-249, [http://hal.archives-ouvertes.fr/docs/00/28/78/67/PDF/icin08.pdf pdf], [http://www.lri.fr/~teytaud/UCTpara.pdf slides as pdf]
'''2009'''
* [[Nur Merve Amil]], [[Nicolas Bredèche]], [[Christian Gagné]], [[Sylvain Gelly]], [[Marc Schoenauer]], [[Olivier Teytaud]] ('''2009'''). ''A Statistical Learning Perspective of Genetic Programming''. EuroGP 2009, [http://hal.inria.fr/docs/00/36/97/82/PDF/eurogp.pdf pdf]
* [[Vincent Berthier]], [[Amine Bourki]], [[Matthieu Coulm]], [[Guillaume Chaslot]], [[Christophe Fiter]], [[Sylvain Gelly]], [[Jean-Baptiste Hoock]], [[Rémi Munos]], [[Julien Pérez]], [[Arpad Rimmel]], [[Philippe Rolet]], [[Olivier Teytaud]], [[Paul Vayssière]], [[Yizao Wang]], [[Ziqin Yu]] (et al.) ('''2009'''). ''Computer-Go is not only for Go''. Korea, August 2009 [http://www.lri.fr/~teytaud/korea.pdf slides as pdf]
==2010 ...==
* [[Sylvain Gelly]], [[David Silver]] ('''2011'''). ''Monte-Carlo tree search and rapid action value estimation in computer Go''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_%28journal%29 Artificial Intelligence], Vol. 175, No. 11
* [[Sylvain Gelly]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Levente Kocsis]], [[David Silver]], [[Csaba Szepesvári]] ('''2012'''). ''[http://dl.acm.org/citation.cfm?id=2093548.2093574 The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions]''. [[ACM#Communications|Communications of the ACM]], Vol. 55, No. 3, [http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Applications_files/grand-challenge.pdf pdf preprint]
=External Links=
* [https://www.linkedin.com/in/sylvain-gelly-624a5458/ Sylvain Gelly | LinkedIn]
* [https://scholar.google.com/citations?user=m7LvuTkAAAAJ&hl=en Sylvain Gelly - Google Scholar Citations]
* [https://www.game-ai-forum.org/icga-tournaments/person.php?id=507 Sylvain Gelly's ICGA Tournaments]
* [http://www.computer-go.info/db/operson.php?a=Gelly%2C+Sylvain Gelly, Sylvain] from [http://www.computer-go.info/ computer-go.info]
* <span id="Video"></span>[[12th Computer Olympiad#Go|Computer Olympiad 2007]], Interview with [[Silvian Gelly]] by [[Harry Weerheijm]], [http://senseis.xmp.net/?EuroGoTV EuroGoTV], [https://en.wikipedia.org/wiki/YouTube YouTube] Video
: {{#evu:https://www.youtube.com/watch?v=f4dN4Pktt70|alignment=left|valignment=top}}
=References=
<references />
'''[[People|Up one level]]'''
[[FILE:SylvainGelly.JPG|border|right|thumb|Sylvain Gelly <ref>Capture from the [[12th Computer Olympiad]] [[#Video|Video]] interview</ref> ]]
'''Sylvain Gelly''',<br/>
a French computer scientist, [[Deep Learning|deep learning]] researcher at [https://en.wikipedia.org/wiki/Google_Brain Google Brain] [https://en.wikipedia.org/wiki/Z%C3%BCrich Zurich] <ref>[https://www.linkedin.com/in/sylvain-gelly-624a5458/ Sylvain Gelly | LinkedIn]</ref>, and former member of the ''Learning and Optimisation Group (A&O)'' <ref>[http://www.lri.fr/equipe_en.php?eq=7 Laboratoire de Recherche en Informatique - A&O Group]</ref> in the [http://fr.wikipedia.org/wiki/Laboratoire_de_recherche_en_informatique Laboratoire de recherche en informatique (LRI)] under the direction of [[Michèle Sebag]] and [[Nicolas Bredèche]] at [[University of Paris#11|Paris-Sud 11 University]]. He defended his Ph.D. thesis ''A Contribution to Reinforcement Learning; Application to Computer Go'' in 2007 <ref>[[Sylvain Gelly]] ('''2007'''). ''A Contribution to Reinforcement Learning; Application to Computer Go.'' Ph.D. thesis, [http://www.lri.fr/~gelly/paper/SylvainGellyThesis.pdf pdf]</ref>. His research interests covers [[Learning|machine learning]] and he is one of the authors of ''OpenDP'' <ref>[http://www.lri.fr/~gelly/OpenDP.htm Sylvain Gelly's Home Page - OpenDP, a free stochastic dynamic programming tool for stochastic dynamic programming.]</ref>, a general and featured framework of [[Reinforcement Learning|reinforcement learning]], and in particular of [[Dynamic Programming|dynamic programming]], and co-authored the top level [[Go]] playing program [https://www.game-ai-forum.org/icga-tournaments/program.php?id=515 Mogo], using [[Monte-Carlo Tree Search]] which uses patterns in the simulations and improvements in [[UCT]] <ref>[http://www.lri.fr/~gelly/MoGo.htm Sylvain Gelly's home page - MoGo]</ref><ref>[http://www.lri.fr/~teytaud/mogo.html MoGo: a software for the Game of Go]</ref>.
=Selected Publications=
<ref>[http://www.lri.fr/~gelly/Publications.htm Sylvain Gelly's Home Page - Publications]</ref> <ref>[http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/g/Gelly:Sylvain.html DBLP: Sylvain Gelly]</ref> <ref>[http://eprints.pascal-network.org/perl/user_eprints?userid=600 PASCAL - EPrints submitted by Sylvain Gelly]</ref> <ref>[http://academic.research.microsoft.com/Author/540755/sylvain-gelly Sylvain Gelly] from [[Microsoft Academic Search]]</ref> <ref>[http://www.grappa.univ-lille3.fr/~mary/research.php Jeremie's Foundry - Jeremie Mary Research Homepage - Publications]</ref>
==2005 ...==
* [[Sylvain Gelly]], [[Nicolas Bredèche]], [[Michèle Sebag]] ('''2005'''). ''From Factorial and Hierarchical HMM to Bayesian Network : A Representation Change Algorithm''. Proceedings of the Symposium on Abstraction, Reformulation and Approximation 2005, p107-120 ([http://www.informatik.uni-trier.de/~ley/db/conf/sara/sara2005.html#GellyBS05 SARA 2005]). Reprinted in [https://en.wikipedia.org/wiki/Lecture_Notes_in_Computer_Science Lecture Notes in Computer Science], Vol. 3607
'''2006'''
* [[Sylvain Gelly]], [[Olivier Teytaud]], [[Nicolas Bredèche]], [[Marc Schoenauer]] ('''2006'''). ''Universal Consistency and Bloat in GP. Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint.'' [http://www.lri.fr/~gelly/paper/riabloat.pdf pdf (draft)]
* [[Sylvain Gelly]], [[Olivier Teytaud]] ('''2006'''). ''Bayesian networks : a better than frequentist approach for parametrization, and a more accurate structural complexity measure than the number of parameters''. [http://www.lri.fr/~gelly/paper/BN_RIA.pdf pdf (draft)]
* [[Sylvain Gelly]], [[Jérémie Mary]], [[Olivier Teytaud]] ('''2006'''). ''Learning for stochastic dynamic programming''. [http://www.lri.fr/~gelly/paper/lfordp.pdf pdf]
* [[Sylvain Gelly]], [[Jérémie Mary]], [[Olivier Teytaud]] ('''2006'''). ''On the ultimate convergence rates for isotropic algorithms and the best choices among various forms of isotropy.'' PPSN, 2006, [http://www.grappa.univ-lille3.fr/~mary/paper/ppsn06.pdf pdf]
* [[Olivier Teytaud]], [[Sylvain Gelly]] ('''2006'''). ''General lower bounds for evolutionary algorithms.'' [http://www.lri.fr/~gelly/paper/lblong.pdf pdf]
* [[Sylvain Gelly]], [[Yizao Wang]] ('''2006'''). ''Exploration exploitation in Go: UCT for Monte-Carlo Go''. [http://www.lri.fr/~gelly/paper/nips_exploration_exploitation_mogo.pdf pdf]
* [[Sylvain Gelly]], [[Yizao Wang]], [[Rémi Munos]], [[Olivier Teytaud]] ('''2006'''). ''Modification of UCT with Patterns in Monte-Carlo Go''. [http://hal.inria.fr/inria-00117266 INRIA]
'''2007'''
* [[Yizao Wang]], [[Sylvain Gelly]] ('''2007'''). ''Modifications of UCT and Sequence-Like Simulations for Monte-Carlo Go''. IEEE Symposium on Computational Intelligence and Games, Honolulu, USA, 2007, [http://www.stat.lsa.umich.edu/~yizwang/publications/wang07modifications.pdf pdf]
* [[Sylvain Gelly]], [[Yizao Wang]] ('''2007'''). ''MoGo wins 19x19 Go tournament''. [[ICGA Journal#30_2|ICGA Journal, Vol. 30, No. 2]] » [[12th Computer Olympiad#Go|12th Computer Olympiad]]
* [[Sylvain Gelly]] ('''2007'''). ''A Contribution to Reinforcement Learning; Application to Computer Go.'' Ph.D. thesis, [http://www.lri.fr/~gelly/paper/SylvainGellyThesis.pdf pdf]
* [[Sylvain Gelly]], [[David Silver]] ('''2007'''). ''Combining Online and Offline Knowledge in UCT.'' [http://www.machinelearning.org/proceedings/icml2007/papers/387.pdf pdf]
* [[Sylvain Gelly]], [[Olivier Teytaud]], [[Jérémie Mary]] ('''2007'''). ''Active learning in regression, with application to stochastic dynamic programming''. ICINCO and CAP, 2007, [http://www.grappa.univ-lille3.fr/~mary/paper/ldsfordp.pdf pdf]
'''2008'''
* [[Sylvain Gelly]], [[David Silver]] ('''2008'''). ''Achieving Master Level Play in 9 x 9 Computer Go.'' [http://www.lri.fr/~gelly/paper/MoGoNectar.pdf pdf]
* [[Guillaume Chaslot]], [[Louis Chatriot]], [[Christophe Fiter]], [[Sylvain Gelly]], [[Jean-Baptiste Hoock]], [[Julien Pérez]], [[Arpad Rimmel]], [[Olivier Teytaud]] ('''2008'''). ''Combining expert, offline, transient and online knowledge in Monte-Carlo exploration''. [http://www.lri.fr/~teytaud/eg.pdf pdf]
* [[Sylvain Gelly]], [[Jean-Baptiste Hoock]], [[Arpad Rimmel]], [[Olivier Teytaud]], [http://fr.linkedin.com/pub/yann-kalemkarian/7/7aa/716 Yann Kalemkarian] ('''2008'''). ''The Parallelization of Monte-Carlo Planning - Parallelization of MC-Planning''. ICINCO-ICSO 2008: 244-249, [http://hal.archives-ouvertes.fr/docs/00/28/78/67/PDF/icin08.pdf pdf], [http://www.lri.fr/~teytaud/UCTpara.pdf slides as pdf]
'''2009'''
* [[Nur Merve Amil]], [[Nicolas Bredèche]], [[Christian Gagné]], [[Sylvain Gelly]], [[Marc Schoenauer]], [[Olivier Teytaud]] ('''2009'''). ''A Statistical Learning Perspective of Genetic Programming''. EuroGP 2009, [http://hal.inria.fr/docs/00/36/97/82/PDF/eurogp.pdf pdf]
* [[Vincent Berthier]], [[Amine Bourki]], [[Matthieu Coulm]], [[Guillaume Chaslot]], [[Christophe Fiter]], [[Sylvain Gelly]], [[Jean-Baptiste Hoock]], [[Rémi Munos]], [[Julien Pérez]], [[Arpad Rimmel]], [[Philippe Rolet]], [[Olivier Teytaud]], [[Paul Vayssière]], [[Yizao Wang]], [[Ziqin Yu]] (et al.) ('''2009'''). ''Computer-Go is not only for Go''. Korea, August 2009 [http://www.lri.fr/~teytaud/korea.pdf slides as pdf]
==2010 ...==
* [[Sylvain Gelly]], [[David Silver]] ('''2011'''). ''Monte-Carlo tree search and rapid action value estimation in computer Go''. [https://en.wikipedia.org/wiki/Artificial_Intelligence_%28journal%29 Artificial Intelligence], Vol. 175, No. 11
* [[Sylvain Gelly]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Levente Kocsis]], [[David Silver]], [[Csaba Szepesvári]] ('''2012'''). ''[http://dl.acm.org/citation.cfm?id=2093548.2093574 The Grand Challenge of Computer Go: Monte Carlo Tree Search and Extensions]''. [[ACM#Communications|Communications of the ACM]], Vol. 55, No. 3, [http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Applications_files/grand-challenge.pdf pdf preprint]
=External Links=
* [https://www.linkedin.com/in/sylvain-gelly-624a5458/ Sylvain Gelly | LinkedIn]
* [https://scholar.google.com/citations?user=m7LvuTkAAAAJ&hl=en Sylvain Gelly - Google Scholar Citations]
* [https://www.game-ai-forum.org/icga-tournaments/person.php?id=507 Sylvain Gelly's ICGA Tournaments]
* [http://www.computer-go.info/db/operson.php?a=Gelly%2C+Sylvain Gelly, Sylvain] from [http://www.computer-go.info/ computer-go.info]
* <span id="Video"></span>[[12th Computer Olympiad#Go|Computer Olympiad 2007]], Interview with [[Silvian Gelly]] by [[Harry Weerheijm]], [http://senseis.xmp.net/?EuroGoTV EuroGoTV], [https://en.wikipedia.org/wiki/YouTube YouTube] Video
: {{#evu:https://www.youtube.com/watch?v=f4dN4Pktt70|alignment=left|valignment=top}}
=References=
<references />
'''[[People|Up one level]]'''
