Louis Faury

Louis Faury

AI Researcher



I am a researcher at Helsing. I work on multi-agent reinforcement learning.

Before that, I was a senior research scientist at Criteo, working on bandits and reinforcement learning. I also conducted applied research on representation learning, and worked with engineering teams around optimal control topics.

I received my PhD in October 2021. I was lucky to be supervised by Olivier Fercoq and Marc Abeille.

Check out my personal logs on RL, control theory and statistics.

  • Reinforcement Learning
  • Bandit Algorithms
  • Control Theory
  • Machine Learning
  • PhD in Machine Learning, 2021

    Télécom Paris

  • MSc in Artificial Intelligence, 2016-2018

    Ecole Polytechnique Fédérale de Lausanne (EPFL)

  • MSc in Applied Mathematics, 2013-2018

    Ecole Polytechnique


Senior Machine Learning Researcher
Mar 2018 – Present Paris
  • Research on bandit algorithms and reinforcement learning. Focus on the design of new algorithms with strong theoretical guarantees.
  • Internal consulting for engineering teams on production projects.
Research Intern
Sep 2017 – Mar 2018 Paris

Development of a deep reinforcement learning approach for learning hyper-parameter free optimizers for ML tasks.

🌟 Received maximal mark from EPFL.

Research Intern & AI Consultant
Mar 2016 – Sep 2017 Paris
  • Development of algorithms for the synchronization of mobile robot fleets in warehouses.
  • Design, development and implementation of robust and embedded control algorithms for wheeled robots.

🌟 Rewarded as best internship for industrial use by the Prix de la Fondation de l’École Polytechnique.


Logistic Bandits
Experimenting around Logistic Bandits.
Improving Evolutionary Strategies with Generative Neural Networks
Generative Neural Networks for Differentiable ES