Runner-up Best Paper Award in IEEE Conference On Games 2019 Learning Policies from Self-Play with Policy Gradients and MCTS Value Estimates
One of the 3 finalists for the Distinguished Paper Award in IJCAI-2017 (Selected out of 2540 submitted papers) Constraint-Based Symmetry Detection in General Game Playing
Thesis Award AI 2017 of the AFIA (Association Française pour l'Intelligence Artificielle) A Stochastic Constraint-Based Approach to General Game Playing
WoodStock International Champion GGP 2016
Best paper and presentation in JFPC 2016 for the article: Programmation par contraintes stochastiques pour le General Game Playing avec informations incomplètes
Denník N Article (2025) Scientists studying ancient board games: People today have advanced technology, but they still enjoy moving pieces around the board An article on the GameTable COST Action
NewScientist Article (2024) The ancient board games we finally know how to play – thanks to AI An article on the GameTable COST Action and the Digital Ludeme Project
Wired Article (2021) This AI Resurrects Ancient Board Games—and Lets You Play Them An article on our Digital Ludeme Project
Vice Article (2019) Scientists Are Discovering Long-Lost Rules for Ancient Board Games An article on our Digital Ludeme Project
MIT Technology Review Article (2019) Machine learning is about to revolutionize the study of ancient games An article on our Digital Ludeme Project
Atlas Obscura Article (2019) Researchers Are Using Artificial Intelligence to Reconstruct Ancient Games An article on our Digital Ludeme Project
Actu IA (2018) Intelligence artificielle : la communauté scientifique des Hauts-de-France se structure pour renforcer son identité dans le domaine Quote of my Thesis award AI 2017
INS2I paper (2016) Une intelligence artificielle dirigée par les contraintes championne de General Game Playing Description of the victory of WoodStock at the International General Game Playing Competition