Tarbouriech, Jean

12 publications

NeurIPS 2023 Probabilistic Inference in Reinforcement Learning Done Right Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue

AISTATS 2022 Adaptive Multi-Goal Exploration Jean Tarbouriech, Omar Darwiche Domingues, Pierre Menard, Matteo Pirotta, Michal Valko, Alessandro Lazaric

ICLR 2022 Direct Then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer

NeurIPS 2021 A Provably Efficient Sample Collection Strategy for Reinforcement Learning Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric

ICMLW 2021 Direct Then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching Pierre-Alexandre Kamienny, Jean Tarbouriech, Alessandro Lazaric, Ludovic Denoyer

ALT 2021 Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric

NeurIPS 2021 Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret Jean Tarbouriech, Runlong Zhou, Simon S Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric

UAI 2020 Active Model Estimation in Markov Decision Processes Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric

NeurIPS 2020 Adversarial Attacks on Linear Contextual Bandits Evrard Garcelon, Baptiste Roziere, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

NeurIPS 2020 Improved Sample Complexity for Incremental Autonomous Exploration in MDPs Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric

ICML 2020 No-Regret Exploration in Goal-Oriented Reinforcement Learning Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric

AISTATS 2019 Active Exploration in Markov Decision Processes Jean Tarbouriech, Alessandro Lazaric