Jean Tarbouriech

According to our database, Jean Tarbouriech authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Probabilistic Inference in Reinforcement Learning Done Right.

Jean Tarbouriech, Tor Lattimore, Brendan O'Donoghue

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Goal-oriented exploration for reinforcement learning. (Exploration d'états buts pour l'apprentissage par renforcement).

Jean Tarbouriech

PhD thesis, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Multi-Goal Exploration.

Jean Tarbouriech, Omar Darwiche Domingues, Pierre Ménard, Matteo Pirotta, Michal Valko, Alessandro Lazaric

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching.

Pierre-Alexandre Kamienny, Jean Tarbouriech, Alessandro Lazaric, Ludovic Denoyer

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Provably Efficient Sample Collection Strategy for Reinforcement Learning.

Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model.

Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric

Proceedings of the Algorithmic Learning Theory, 2021

2020

Active Model Estimation in Markov Decision Processes.

Jean Tarbouriech, Shubhanshu Shekhar, Matteo Pirotta, Mohammad Ghavamzadeh, Alessandro Lazaric

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Improved Sample Complexity for Incremental Autonomous Exploration in MDPs.

Jean Tarbouriech, Matteo Pirotta, Michal Valko, Alessandro Lazaric

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Attacks on Linear Contextual Bandits.

Evrard Garcelon, Baptiste Rozière, Laurent Meunier, Jean Tarbouriech, Olivier Teytaud, Alessandro Lazaric, Matteo Pirotta

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

No-Regret Exploration in Goal-Oriented Reinforcement Learning.

Jean Tarbouriech, Evrard Garcelon, Michal Valko, Matteo Pirotta, Alessandro Lazaric

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Active Exploration in Markov Decision Processes.

Jean Tarbouriech, Alessandro Lazaric

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019