Difference between revisions of "Sylvain Gelly"

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(Created page with "'''Home * People * Sylvain Gelly''' border|right|thumb|Sylvain Gelly <ref>Capture from the [[12th Computer Olympiad #Video|Video...")
 
 
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=Selected Publications=  
 
=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>
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<ref>[http://www.informatik.uni-trier.de/~ley/db/indices/a-tree/g/Gelly:Sylvain.html dblp: Sylvain Gelly]</ref>  
 
==2005 ...==
 
==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
 
* [[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
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* [[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]], [[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]
 
* [[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]
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==2015 ...==
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* [[Olivier Bousquet]], [[Sylvain Gelly]], [[Karol Kurach]], [[Marc Schoenauer]], [[Michèle Sebag]], [[Olivier Teytaud]], [[Damien Vincent]] ('''2017'''). ''Toward Optimal Run Racing: Application to Deep Learning Calibration''. [https://arxiv.org/abs/1706.03199 arXiv:1706.03199]
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* [[Sylvain Gelly]], [https://ai.google/research/people/KarolKurach Karol Kurach], [http://dblp.uni-trier.de/pers/hd/m/Michalski:Marcin Marcin Michalski], [https://sites.google.com/site/xzhai89/ Xiaohua Zhai] ('''2018'''). ''MemGEN: Memory is All You Need''. [https://arxiv.org/abs/1803.11203 arXiv:1803.11203] <ref>[https://en.wikipedia.org/wiki/April_Fools%27_Day April 01], 2018</ref>
  
 
=External Links=  
 
=External Links=  
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=References=  
 
=References=  
 
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'''[[People|Up one level]]'''
 
'''[[People|Up one level]]'''
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[[Category:Go Programmer|Gelly]]
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[[Category:Videos|Gelly]]

Latest revision as of 10:29, 12 September 2019

Home * People * Sylvain Gelly

Sylvain Gelly [1]

Sylvain Gelly,
a French computer scientist, deep learning researcher at Google Brain Zurich [2], and former member of the Learning and Optimisation Group (A&O) [3] in the Laboratoire de recherche en informatique (LRI) under the direction of Michèle Sebag and Nicolas Bredèche at Paris-Sud 11 University. He defended his Ph.D. thesis A Contribution to Reinforcement Learning; Application to Computer Go in 2007 [4]. His research interests covers machine learning and he is one of the authors of OpenDP [5], a general and featured framework of reinforcement learning, and in particular of dynamic programming, and co-authored the top level Go playing program Mogo, using Monte-Carlo Tree Search which uses patterns in the simulations and improvements in UCT [6][7].

Selected Publications

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2006

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External Links

References

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