Jean Tarbouriech

I am a final-year PhD student jointly at Facebook AI Research (FAIR) Paris and Inria Lille, Scool (ex-SequeL) team. I am advised by Alessandro Lazaric (FAIR), Michal Valko (DeepMind) and Philippe Preux (Inria).

My main research interest is reinforcement learning (RL), with a focus on exploration in unsupervised RL and goal-oriented RL.

• Adaptive Multi-Goal Exploration
  Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
• Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching
  Pierre-Alexandre Kamienny*, Jean Tarbouriech*, Alessandro Lazaric, Ludovic Denoyer
  International Conference on Learning Representations (ICLR), 2022
• A Provably Efficient Sample Collection Strategy for Reinforcement Learning
  Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
  Neural Information Processing Systems (NeurIPS), 2021   [spotlight - 3% acceptance rate]
• Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret
  Jean Tarbouriech*, Runlong Zhou*, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
  Neural Information Processing Systems (NeurIPS), 2021   [spotlight - 3% acceptance rate]
• Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model
  Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
  Algorithmic Learning Theory (ALT), 2021
• Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
  Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
  Neural Information Processing Systems (NeurIPS), 2020   [oral - 1% acceptance rate]
• Adversarial Attacks on Linear Contextual Bandits
  Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
  Neural Information Processing Systems (NeurIPS), 2020
• No-Regret Exploration in Goal-Oriented Reinforcement Learning
  Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
  International Conference on Machine Learning (ICML), 2020
• Active Model Estimation in Markov Decision Processes
  Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
  Uncertainty in Artificial Intelligence (UAI), 2020
• Active Exploration in Markov Decision Processes
  Jean Tarbouriech, Alessandro Lazaric
  International Conference on Artificial Intelligence and Statistics (AISTATS), 2019

• I received an MSc/BSc in Applied Mathematics from École Polytechnique (diplôme d'Ingénieur) and an MSc in Machine Learning from École Normale Supérieure Paris-Saclay (Master MVA). During my studies I was a Machine Learning intern at Infosys, Bangalore and I visited Cornell University working on stochastic route planning with Prof. Samitha Samaranayake.
• Outside of work, I enjoy playing soccer ⚽   scuba diving 🐠   and backpacking 🌍
• Feel free to connect on LinkedIn or Twitter.
• Email:   jean dot tarbouriech at gmail dot com

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