World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
4521
World Ranking
13152
National Ranking
5282

Best Publications

  • Modification of UCT with Patterns in Monte-Carlo Go

    Sylvain Gelly;Yizao Wang;Rémi Munos;Olivier Teytaud

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

    Sylvain Gelly;Levente Kocsis;Marc Schoenauer;Michèle Sebag

  • Continuous upper confidence trees

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

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

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

  • Association Rule Interestingness: Measure and Statistical Validation

    Stephane Lallich;Olivier Teytaud;Elie Prudhomme

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

    Anne Auger;Olivier Teytaud

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

    Cédric Hartland;Sylvain Gelly;Nicolas Baskiotis;Olivier Teytaud

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

    Stéphane Lallich;Olivier Teytaud

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

    Nicolas Galichet;Michèle Sebag;Olivier Teytaud

  • Current Frontiers in Computer Go

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

  • 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

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

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

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

    Antoine Moreau;Olivier Teytaud;Jean-Pierre Bertoglio

  • Creating an upper-confidence-tree program for havannah

    Fabien Teytaud;Olivier Teytaud

  • General lower bounds for evolutionary algorithms

    Olivier Teytaud;Sylvain Gelly

  • On the Parallelization of Monte-Carlo planning

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

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

    Cédric Hartland;Nicolas Baskiotis;Sylvain Gelly;Michèle Sebag

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

    Chris Cummins;Bram Wasti;Jiadong Guo;Brandon Cui

  • Scalability and parallelization of Monte-Carlo tree search

    Amine Bourki;Guillaume Chaslot;Matthieu Coulm;Vincent Danjean

  • Critical Hyper-Parameters: No Random, No Cry

    Olivier Bousquet;Sylvain Gelly;Karol Kurach;Olivier Teytaud

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