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Philippe Rolet,
a French computer scientist and Ph.D. student in artificial intelligence and machine learning, under supervision of Michèle Sebag and Olivier Teytaud in Laboratoire de Recherche en Informatique (LRI) of Paris-Sud University, Orsay, France. He belongs to a joint team with the French National Centre for Scientific Research, CNRS, and the National Institute for Research in Computer Science and Control, INRIA. His research interests include Reinforcement Learning, Monte-Carlo Tree Search, and Markov decision processes.

Selected Publications

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• 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 slides as pdf
• Amine Bourki, Matthieu Coulm, Philippe Rolet, Olivier Teytaud, Paul Vayssière (2010). Parameter Tuning by Simple Regret Algorithms and Multiple Simultaneous Hypothesis Testing. pdf
• Philippe Rolet (2010). Elements for Learning and Optimizing Expensive Functions. Ph.D. thesis defended on December 22, 2010 ^[3]
• Rémi Coulom, Philippe Rolet, Nataliya Sokolovska, Olivier Teytaud (2011). Handling Expensive Optimization with Large Noise. pdf

External Links

• Philippe Rolet

References

1. ^ My Publications
2. ^ DBLP: Philippe Rolet
3. ^ Philippe Rolet | Paris Sud XI University - Academia.edu

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