Hello ! I am currently a PhD candidate in Machine Learning. I am working at CMAP in Ecole polytechnique supervised by Stéphanie Allassonnière, Erwan Le Pennec and working closely with Matthieu Geist. I am also part of the Inria Paris team HeKA focused on Health data and model-driven Knowledge Acquisition. Before this, I was a Master student in Mathematics and Machine Learning at MVA in ENS Paris-Saclay. From January to March 2024, I was a visiting researcher at Caltech in the Computing + Mathematical Sciences Department, supervised by Adam Wierman and Eric Mazumdar.

My current PhD subject is focused on trying to Robustify Reinforcement Learning. Moreover, I have a great interest in:

  • Robust and Risk-Averse Reinforcement Learning,
  • Reinforcement Learning with Human Feedback,
  • Bandit theory.

News :

10/2024 : Two papers accepted at Neurips 2024, TC-MDP a new algorithm for Robust Reinforcement Learning and a theoretical paper on optimal sample complexity of Robust MDPs written at Caltech with Laixi ( arkiv coming soon )!

28/10/2024 : I will be at the 17th European Workshop on Reinforcement Learning (EWRL 2024) in Toulouse to present my two recent works on Deep Robust Reinforcement Learning : ExpectRL and TC-MDP algorithms.

09/2024 : I am starting a PhD internship at Cohere. I will work on RLHF (Reinforcement Learning with Human Feedback).

05/2024 : 3 new preprint out : A new benchmark for Robust Reinforcement Learning: RRLS : Robust Reinforcement Learning Suite, and two new Deep Robust Reinforcement Learning algorithms : ExpectRL and TC-MDP !

04/2024 : 2 papers accepted, one at ICML 2024 on Bandit with Variational Inference and one on the theory of Robust MDPs at UAI 2024 (oral) !

01/2024 : I will be a visiting researcher in the California Institut of Technology in the group of Professor Adam Wierman and Eric Mazumdar working on Robust RL !

11/2023 : I am organizing with Neurips in Paris 2023 with Linus Bleistein among other colleagues on the 6th and 7th of December 2023 at Sorbonne Université (Paris 5). A great occasion to meet and discuss recent advances in ML in central Paris !