Amaury Gouverneur

I am a Ph.D. student in Electrical Engineering at KTH Royal Institute of Technology in Stockholm, Sweden, co-advised by Mikael Skoglund and Tobias Oechtering. My doctoral research is supported by the WASP Graduate School where I am following jointly the Artificial Intelligence and Autonomous System curriculum.

Before my academic journey, I completed a double master’s degree in Applied and Computational Mathematics from KTH and UCLouvain and a bachelor’s degree in Applied Mathematics and Electrical engineering at École Polytechnique de Louvain.

My research interest lies at the confluence of Information Theory and Reinforcement Learning. Specifically, I am studying the performance of the Thompson Sampling algorithm for Multi-Armed Bandit Problems and Contextual Bandit Problems.

For more information, please visit my personal website.