Antoine Bergerault
First-year PhD student at the University of Zurich
I work with Prof. Giorgia Ramponi (ALPI) on problems at the intersection of multi-agent systems and inverse reinforcement learning. I am also affiliated with the ETH AI Center.
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.
Feel free to reach out at:
antoine.bergerault[at]uzh[dot]ch
Latest Updates
October 2026In Lille to attend EWRL and present (oral) our recent progress on multi-agent inverse reinforcement learning with Cyrille and Giorgia.
October 2026Hosting the “Recent Advances in Reinforcement Learning: From Foundations to Real-World Systems” track at the AI+X Summit in Zurich with UZH.ai.
July 2026Attending ICML in Seoul to present our work with Anna, Andreas and Maryam on preference-based distributed welfare optimization.