Fabien Pesquerel
PhD student in Reinforcement Learning
A06 office, Building A,
40 Halley Avenue,
Villeneuve d'Ascq, France
To the layman reader, reinforcement learning is about learning to observe in order to observe to learn in order to achieve some goal as efficiently as possible.
I am a PhD student in the SCOOL research team (previously SequeL) at INRIA and a Reinforcement Learning teacher at Polytechnique, Lille University and Centrale Supélec.
You can reach me at first_name.last_name@institution.fr
.
My research interests lie in sequential learning, sequential decision making and mathematical models of information processing. Because I care deeply about real-world implications and applications, I attach great importance to theoretical guarantees. Some applications that I am interested in are bioinformatics, computational neurosciences, physics, and gymnastics.
I particularly focus on theoretically optimal reinforcement learning algorithms that are also numerically competitive.
My PhD thesis is about optimality and structures in reinforcement learning and I am doing it with Odalric-Ambrym Maillard thanks to a grant from École Normale Supérieure de Paris.
news
Oct 16, 2022 | My paper, IMED-RL: Regret optimal learning of ergodic Markov decision processes, has been accepted at NeurIPS. See you there! |
---|---|
Aug 28, 2022 | I finally took the time to set up this academic webpage. |