Jean Tarbouriech

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Markov Decision Processes

Active Exploration

Reinforcement Learning

Number Of Irrelevant Features

Top Venues

Publications

Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue
Probabilistic Inference in Reinforcement Learning Done Right. NeurIPS (2023)
Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue
Probabilistic Inference in Reinforcement Learning Done Right. CoRR (2023)
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Adaptive Multi-Goal Exploration. AISTATS (2022)
Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching. ICLR (2022)
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model. ALT (2021)
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
A Provably Efficient Sample Collection Strategy for Reinforcement Learning. NeurIPS (2021)
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Adaptive Multi-Goal Exploration. CoRR (2021)
Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. CoRR (2021)
Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret. NeurIPS (2021)
Pierre-Alexandre Kamienny, Jean Tarbouriech, Alessandro Lazaric, Ludovic Denoyer
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching. CoRR (2021)
Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
Active Model Estimation in Markov Decision Processes. CoRR (2020)
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs. NeurIPS (2020)
Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
No-Regret Exploration in Goal-Oriented Reinforcement Learning. ICML (2020)
Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
Adversarial Attacks on Linear Contextual Bandits. NeurIPS (2020)
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs. CoRR (2020)
Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
Active Model Estimation in Markov Decision Processes. UAI (2020)
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
A Provably Efficient Sample Collection Strategy for Reinforcement Learning. CoRR (2020)
Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
Adversarial Attacks on Linear Contextual Bandits. CoRR (2020)
Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
No-Regret Exploration in Goal-Oriented Reinforcement Learning. CoRR (2019)
Jean Tarbouriech, Alessandro Lazaric
Active Exploration in Markov Decision Processes. CoRR (2019)
Jean Tarbouriech, Alessandro Lazaric
Active Exploration in Markov Decision Processes. AISTATS (2019)