Barbier-Chebbah Alex

Statistical Physics

École Normale Supérieure - PSL

alex.barbier-chebbah [at] pasteur.fr

Short bio

PHD at Sorbonne University

Research project

Multi-Armed Bandit model

Short abstract

My main research interests are random walks theory and sequential learning, focusing on their connections to decision-making task in complex environment. We combine statistical physics, Bayesian inference, information theory and numerical simulation to both probe learning procedure in insect behavior, but also to design lightweight algorithms able to mimic such procedures. In particular, relying on infotaxis methods, we develop a new class of multi-armed bandit (MAB) algorithms to achieve optimal performance at all timescales of the sequential learning procedure.