Antoine Bergerault

I work with Prof. Giorgia Ramponi (ALPI) on problems at the intersection of multi-agent systems and inverse reinforcement learning.

My research interests include the theoretical foundations of sequential decision-making, with particular interests in inverse reinforcement learning, imitation learning and multi-agent systems.

Previously, I completed my Master's in Data Science as an Excellence Fellow at EPFL, and spent time at Carnegie Mellon University and UC Berkeley. I have also worked on machine learning for FX options pricing at Tradition and energy forecasting at Spinergie.