Amaury Gouverneur Regnström
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
Pattern Recognition and Machine Learning (EQ2341), assistant
Pattern Recognition, Machine Learning and Data Analysis (FEO3274), teacher