Jean Tarbouriech

22 papers A* 7A 3B 1Journal 10
YearRankTypeTitle / Venue / Authors
2023 A* conf
Probabilistic Inference in Reinforcement Learning Done Right.
NeurIPS
Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue
2023 J jnl
Probabilistic Inference in Reinforcement Learning Done Right.
CoRR
Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue
2022 A conf
Adaptive Multi-Goal Exploration.
AISTATS
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2022 A* conf
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.
ICLR
Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer
2022 — —
Goal-oriented exploration for reinforcement learning. (Exploration d'états buts pour l'apprentissage par renforcement).
Jean Tarbouriech
2021 A* conf
A Provably Efficient Sample Collection Strategy for Reinforcement Learning.
NeurIPS
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021 J jnl
Adaptive Multi-Goal Exploration.
CoRR
Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021 J jnl
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.
CoRR
Pierre-Alexandre Kamienny, Jean Tarbouriech, Sylvain Lamprier, Alessandro Lazaric, Ludovic Denoyer
2021 B conf
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model.
ALT
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021 A* conf
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret.
NeurIPS
Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2021 J jnl
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret.
CoRR
Jean Tarbouriech, Runlong Zhou, Simon S. Du, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020 J jnl
A Provably Efficient Sample Collection Strategy for Reinforcement Learning.
CoRR
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020 A conf
Active Model Estimation in Markov Decision Processes.
UAI
Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2020 J jnl
Active Model Estimation in Markov Decision Processes.
CoRR
Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric
2020 A* conf
Adversarial Attacks on Linear Contextual Bandits.
NeurIPS
Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020 J jnl
Adversarial Attacks on Linear Contextual Bandits.
CoRR
Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta
2020 A* conf
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs.
NeurIPS
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020 J jnl
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs.
CoRR
Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric
2020 A* conf
No-Regret Exploration in Goal-Oriented Reinforcement Learning.
ICML
Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric
2019 A conf
Active Exploration in Markov Decision Processes.
AISTATS
Jean Tarbouriech, Alessandro Lazaric
2019 J jnl
Active Exploration in Markov Decision Processes.
CoRR
Jean Tarbouriech, Alessandro Lazaric
2019 J jnl
No-Regret Exploration in Goal-Oriented Reinforcement Learning.
CoRR
Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric