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Sylvain Gelly,
a French computer scientist, and former member of the Learning and Optimisation Group (A&O) [1] 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 [2]. His research interests covers machine learning and he is one of the authors of OpenDP [3], a general and featured framework of reinforcement learning, and in particular of dynamic programming, and co-author of the top level Go playing program Mogo, using Monte-Carlo Tree Search which uses patterns in the simulations and improvements in UCT [4][5].
Sylvain Gelly [6]

Selected Publications

[7] [8] [9] [10] [11]

2005 ...

2006
2007
2008
2009

2010 ...


External Links


References

  1. ^ Laboratoire de Recherche en Informatique - A&O Group
  2. ^ Sylvain Gelly (2007). A Contribution to Reinforcement Learning; Application to Computer Go. Ph.D. thesis, pdf
  3. ^ Sylvain Gelly's Home Page - OpenDP, a free stochastic dynamic programming tool for stochastic dynamic programming.
  4. ^ Sylvain Gelly's home page - MoGo
  5. ^ MoGo: a software for the Game of Go
  6. ^ Capture from the 12th Computer Olympiad Video interview
  7. ^ Sylvain Gelly's Home Page - Publications
  8. ^ DBLP: Sylvain Gelly
  9. ^ PASCAL - EPrints submitted by Sylvain Gelly
  10. ^ Sylvain Gelly from Microsoft Academic Search
  11. ^ Jeremie's Foundry - Jeremie Mary Research Homepage - Publications

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