Difference between revisions of "Sylvain Gelly"

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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]
 
* [[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>
 
* [[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>
  

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

[8]

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2006

2007

2008

2009

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External Links

References

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