1 citations · 2 across the 3 of their papers we have counts for
4 papers
Computational investigations of a multi-class traffic flow model: mean-field and microscopic dynamics
Amal Machtalay, Abderrahmane Habbal, Ahmed Ratnani +1
We address a multi-class traffic model, for which we computationally assess the ability of mean-field games (MFGs) to yield approximate Nash equilibria for traffic flow games of in…
A game theoretic perspective on Bayesian multi-objective optimization
Mickael Binois, Abderrahmane Habbal, Victor Picheny
This chapter addresses the question of how to efficiently solve many-objective optimization problems in a computationally demanding black-box simulation context. We shall motivate…
The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois, Victor Picheny, Patrick Taillandier +1
An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations…
A Bayesian optimization approach to find Nash equilibria
Victor Picheny, Mickael Binois, Abderrahmane Habbal
Game theory finds nowadays a broad range of applications in engineering and machine learning. However, in a derivative-free, expensive black-box context, very few algorithmic solut…