Olivier Teytaud

Olivier Teytaud publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Olivier Teytaud sits on this spectrum.

Olivier Teytaud D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Olivier Teytaud sits on this spectrum.

Best Publications

• Modification of UCT with Patterns in Monte-Carlo Go

  Sylvain Gelly;Yizao Wang;Rémi Munos;Olivier Teytaud

  521
  Citations

• The grand challenge of computer Go: Monte Carlo tree search and extensions

  Sylvain Gelly;Levente Kocsis;Marc Schoenauer;Michèle Sebag

  303
  Citations

• Continuous upper confidence trees

  Adrien Couëtoux;Jean-Baptiste Hoock;Nataliya Sokolovska;Olivier Teytaud

  207
  Citations

• The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments

  Chang-Shing Lee;Mei-Hui Wang;G. Chaslot;J.-B. Hoock

  205
  Citations

• Association Rule Interestingness: Measure and Statistical Validation

  Stephane Lallich;Olivier Teytaud;Elie Prudhomme

  117
  Citations

• Continuous Lunches Are Free Plus the Design of Optimal Optimization Algorithms

  Anne Auger;Olivier Teytaud

  116
  Citations

• Multi-armed Bandit, Dynamic Environments and Meta-Bandits

  Cédric Hartland;Sylvain Gelly;Nicolas Baskiotis;Olivier Teytaud

  115
  Citations

• Évaluation et validation de l'intérêt des règles d'association

  Stéphane Lallich;Olivier Teytaud

  104
  Citations

• Exploration vs Exploitation vs Safety: Risk-averse Multi-Armed Bandits

  Nicolas Galichet;Michèle Sebag;Olivier Teytaud

  104
  Citations

• Current Frontiers in Computer Go

  Arpad Rimmel;Olivier Teytaud;Chang-Shing Lee;Shi-Jim Yen

  95
  Citations

• Adaptive estimation of normals and surface area for discrete 3-D objects: application to snow binary data from X-ray tomography

  F. Flin;J.-B. Brzoska;D. Coeurjolly;R.A. Pieritz

  84
  Citations

• Adding expert knowledge and exploration in monte-carlo tree search

  Guillaume Chaslot;Christophe Fiter;Jean-Baptiste Hoock;Arpad Rimmel

  81
  Citations

• Optimal estimation for Large-Eddy Simulation of turbulence and application to the analysis of subgrid models

  Antoine Moreau;Olivier Teytaud;Jean-Pierre Bertoglio

  80
  Citations

• Creating an upper-confidence-tree program for havannah

  Fabien Teytaud;Olivier Teytaud

  78
  Citations

• General lower bounds for evolutionary algorithms

  Olivier Teytaud;Sylvain Gelly

  76
  Citations

• On the Parallelization of Monte-Carlo planning

  Sylvain Gelly;Jean-Baptiste Hoock;Arpad Rimmel;Olivier Teytaud

  73
  Citations

• Change Point Detection and Meta-Bandits for Online Learning in Dynamic Environments

  Cédric Hartland;Nicolas Baskiotis;Sylvain Gelly;Michèle Sebag

  65
  Citations

• CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research.

  Chris Cummins;Bram Wasti;Jiadong Guo;Brandon Cui

  64
  Citations

• Scalability and parallelization of Monte-Carlo tree search

  Amine Bourki;Guillaume Chaslot;Matthieu Coulm;Vincent Danjean

  62
  Citations

• Critical Hyper-Parameters: No Random, No Cry

  Olivier Bousquet;Sylvain Gelly;Karol Kurach;Olivier Teytaud

  31
  Citations