Vernade Lab

PhD Students

I have the privilege to work with a talented team of students. I co-supervise some of them and collaborate on a regular basis with colleagues (and friends) from various institutions and countries: 

Claire Vernade

Group Leader

Bandit algorithms, RL Theory, Learning theory

PhD student (2023 - now), co-supervised with Michael Muehlebach

Dynamical aspects of RL 

-> A Pontryagin perspective on Reinforcement Learning (Open-Loop RL)

PhD student (2023 -now)

Foundations of Inverse Reinforcement Learning

-> Open Problem: Reward Estimation in Inverse Bandits (ARLET @ ICML 2024)

PhD student (2024 - now)

Diffusion models for control 

Alexandre Marthe

PhD student (2022 - now),  co-supervised with Aurélien Garivier

Theory of Distributional RL, Risk-Aware RL

-> Beyond Expected Return in Markov Decision Processes

PhD student (2022 - now)

Bandit algorithms on graphs, multi-agent and network systems

Masters and Bachelor

Current:

Alumni:

Interns (Amazon Berlin and Deepmind London)

Master and Bachelor students:

Mentoring

Current:

Past: