Bayesian Generation and Integration of K-nearest-neighbor Patterns for 19x19 Go. - Bruno Bouzy; Guillaume Chaslot (CIG, 2005)

Extraction bayésienne et intégration de patterns représentés suivant les K plus proches voisins pour le go 19x19. - Bruno Bouzy; Guillaume Chaslot (EGC, 2005)

Monte-Carlo Proof-Number Search for Computer Go. - Jahn-Takeshi Saito; Guillaume Chaslot; Jos W. H. M. Uiterwijk; H. Jaap van den Herik (Computers and Games, 2006)

Monte-Carlo Go Reinforcement Learning Experiments. - Bruno Bouzy; Guillaume Chaslot (CIG, 2006)

Monte-Carlo Tree Search: A New Framework for Game AI. - Guillaume Chaslot; Sander Bakkes; Istvan Szita; Pieter Spronck (AIIDE, 2008)

Parallel Monte-Carlo Tree Search. - Guillaume Chaslot; Mark H. M. Winands; H. Jaap van den Herik (Computers and Games, 2008)

Single-Player Monte-Carlo Tree Search. - Maarten P. D. Schadd; Mark H. M. Winands; H. Jaap van den Herik; Guillaume Chaslot; Jos W. H. M. Uiterwijk (Computers and Games, 2008)

Cross-Entropy for Monte-Carlo Tree Search. - Guillaume Chaslot; Mark H. M. Winands; Istvan Szita; H. Jaap van den Herik (J. Int. Comput. Games Assoc., 2008)

Adding Expert Knowledge and Exploration in Monte-Carlo Tree Search. - Guillaume Chaslot; Christophe Fiter; Jean-Baptiste Hoock; Arpad Rimmel; Olivier Teytaud (ACG, 2009)

Monte-Carlo Tree Search in Settlers of Catan. - Istvan Szita; Guillaume Chaslot; Pieter Spronck (ACG, 2009)

On the huge benefit of quasi-random mutations for multimodal optimization with application to grid-based tuning of neurocontrollers. - Guillaume Chaslot; Jean-Baptiste Hoock; Fabien Teytaud; Olivier Teytaud (ESANN, 2009)

Grid Coevolution for Adaptive Simulations: Application to the Building of Opening Books in the Game of Go. - Pierre Audouard; Guillaume Chaslot; Jean-Baptiste Hoock; Julien Perez; Arpad Rimmel; Olivier Teytaud (EvoWorkshops, 2009)

A novel ontology for computer go knowledge management. - Chang-Shing Lee; Mei-Hui Wang; Tzung-Pei Hong; Guillaume Chaslot; Jean-Baptiste Hoock; Arpad Rimmel; Olivier Teytaud; Yau-Hwang Kuo (FUZZ-IEEE, 2009)

Combiner connaissances expertes, hors-ligne, transientes et en ligne pour l'exploration Monte-Carlo. Apprentissage et MC. - Guillaume Chaslot; L. Chatriot; Christophe Fiter; Sylvain Gelly; Jean-Baptiste Hoock; Julien Perez; Arpad Rimmel; Olivier Teytaud (Rev. d'Intelligence Artif., 2009)

The Computational Intelligence of MoGo Revealed in Taiwan's Computer Go Tournaments. - Chang-Shing Lee; Mei-Hui Wang; Guillaume Chaslot; Jean-Baptiste Hoock; Arpad Rimmel; Olivier Teytaud; Shang-Rong Tsai; Shun-Chin Hsu; Tzung-Pei Hong (IEEE Trans. Comput. Intell. AI Games, 2009)

Integrating Opponent Models with Monte-Carlo Tree Search in Poker. - Marc J. V. Ponsen; Geert Gerritsen; Guillaume Chaslot (Interactive Decision Theory and Game Theory, 2010)

Scalability and Parallelization of Monte-Carlo Tree Search. - Amine Bourki; Guillaume Chaslot; Matthieu Coulm; Vincent Danjean; Hassen Doghmen; Jean-Baptiste Hoock; Thomas Hérault; Arpad Rimmel; Fabien Teytaud; Olivier Teytaud; Paul Vayssière; Ziqin Yut (Computers and Games, 2010)

A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos. - Marc Faddoul; Guillaume Chaslot; Hany Farid (CoRR, 2020)

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation. - Maria Eriksson; Erasmo Purificato; Arman Noroozian; João Vinagre; Guillaume Chaslot; Emilia Gómez; David Fernández Llorca (CoRR, 2025)