Mathieu Petitbois

Mathieu Petitbois

AI Researcher | PhD Candidate at Ubisoft La Forge & LERIA

I am a final-year PhD candidate at Ubisoft La Forge and LERIA, advised by Ludovic Denoyer, Sylvain Lamprier, and Rémy Portelas. My research interests include Deep Reinforcement Learning, Imitation Learning, and Stylized Policy Learning with applications in video games. In particular, I am passionate about developing learning agents that are diverse, controllable, and trustworthy, so that they can be used to solve many challenges in simulated and real-world applications.

Publications

Google Scholar
SciQL
Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
Mathieu Petitbois, Rémy Portelas, Sylvain Lamprier
Agents in the Wild: Safety, Security, and Beyond Workshop at ICLR 2026
Preprint Website Code
QPHIL
QPHIL: Quantizing Planner for Hierarchical Implicit Q-Learning
Mathieu Petitbois, Ludovic Denoyer, Sylvain Lamprier, Rémy Portelas
IJCNN 2025 & 7th Robot Learning Workshop at ICLR 2025
Paper Preprint Website Code
SWR
Offline Learning of Controllable Diverse Behaviors
Mathieu Petitbois, Ludovic Denoyer, Sylvain Lamprier, Rémy Portelas
Generative Models for Robot Learning Workshop at ICLR 2025
Paper Website Code

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