Olivier Teytaud
Cited by
Cited by
Modification of UCT with patterns in Monte-Carlo Go
S Gelly, Y Wang, R Munos, O Teytaud
INRIA, 2006
The grand challenge of computer Go: Monte Carlo tree search and extensions
S Gelly, L Kocsis, M Schoenauer, M Sebag, D Silver, C Szepesvári, ...
Communications of the ACM 55 (3), 106-113, 2012
The computational intelligence of MoGo revealed in Taiwan's computer Go tournaments
CS Lee, MH Wang, G Chaslot, JB Hoock, A Rimmel, O Teytaud, SR Tsai, ...
IEEE Transactions on Computational Intelligence and AI in games 1 (1), 73-89, 2009
Continuous upper confidence trees
A Couëtoux, JB Hoock, N Sokolovska, O Teytaud, N Bonnard
International Conference on Learning and Intelligent Optimization, 433-445, 2011
Association rule interestingness: Measure and statistical validation
S Lallich, O Teytaud, E Prudhomme
Quality measures in data mining, 251-275, 2007
Optimally solving Dec-POMDPs as continuous-state MDPs
JS Dibangoye, C Amato, O Buffet, F Charpillet
Journal of Artificial Intelligence Research 55, 443-497, 2016
Multi-armed bandit, dynamic environments and meta-bandits
C Hartland, S Gelly, N Baskiotis, O Teytaud, M Sebag
Évaluation et validation de l’intérêt des regles d’association
S Lallich, O Teytaud
Revue des Nouvelles Technologies de l’Information 1 (2), 193-218, 2004
Continuous lunches are free plus the design of optimal optimization algorithms
A Auger, O Teytaud
Algorithmica 57 (1), 121-146, 2010
Exploration vs exploitation vs safety: Risk-aware multi-armed bandits
N Galichet, M Sebag, O Teytaud
Asian Conference on Machine Learning, 245-260, 2013
Nevergrad-A gradient-free optimization platform
J Rapin, O Teytaud
version 0.2. 0, https://GitHub. com/FacebookResearch/Nevergrad, 2018
Current frontiers in computer Go
A Rimmel, O Teytaud, CS Lee, SJ Yen, MH Wang, SR Tsai
IEEE Transactions on Computational Intelligence and AI in Games 2 (4), 229-238, 2010
Adding expert knowledge and exploration in Monte-Carlo Tree Search
G Chaslot, C Fiter, JB Hoock, A Rimmel, O Teytaud
Advances in Computer Games, 1-13, 2009
Creating an upper-confidence-tree program for Havannah
F Teytaud, O Teytaud
Advances in Computer Games, 65-74, 2009
On the parallelization of Monte-Carlo planning
S Gelly, JB Hoock, A Rimmel, O Teytaud, Y Kalemkarian
ICINCO, 2008
Adaptive estimation of normals and surface area for discrete 3-D objects: application to snow binary data from X-ray tomography
F Flin, JB Brzoska, D Coeurjolly, RA Pieritz, B Lesaffre, C Coléou, ...
IEEE Transactions on Image Processing 14 (5), 585-596, 2005
Optimal estimation for large-eddy simulation of turbulence and application to the analysis of subgrid models
A Moreau, O Teytaud, JP Bertoglio
Physics of fluids 18 (10), 105101, 2006
General lower bounds for evolutionary algorithms
O Teytaud, S Gelly
Parallel Problem Solving from Nature-PPSN IX, 21-31, 2006
Change point detection and meta-bandits for online learning in dynamic environments
C Hartland, N Baskiotis, S Gelly, M Sebag, O Teytaud
CAp 2007: 9è Conférence francophone sur l'apprentissage automatique, 237-250, 2007
Continuous lunches are free!
A Auger, O Teytaud
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
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