Amaury Gouverneur
DOCTORAL STUDENT
Details
Researcher
About me
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.
Courses
Machine Learning and Data Science (EQ2415), assistant | Course web
Pattern Recognition and Machine Learning (EQ2341), assistant | Course web
Pattern Recognition, Machine Learning and Data Analysis (FEO3274), teacher | Course web