Antoine Bergerault
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 to 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
July 2026Attending ICML in Seoul to present our work with Anna, Andreas and Maryam on preference-based distributed welfare optimization.
May 2026Attending the "Foundations of Multi-Agent and Mean Field Reinforcement Learning" workshop at IMSI in Chicago.
April 2026At ICLR in Rio to present our work on multi-agent imitation learning with Volkan and Negar.
