Jean Tarbouriech 个人学术档案

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	总计	2019 年至今
引用	292	290
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Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence Research在 inria.fr 的电子邮件经过验证
Matteo PirottaResearch Scientist, Meta (FAIR)在 fb.com 的电子邮件经过验证
Michal ValkoLlama @ Meta Paris & Inria & MVA - Ex: Gemini and BYOL @ Google DeepMind在 meta.com 的电子邮件经过验证
Evrard GarcelonFacebook AI Research在 fb.com 的电子邮件经过验证
Baptiste RozièreFacebook AI Research在 fb.com 的电子邮件经过验证
Laurent MeunierMILES Team, LAMSADE Université Paris Dauphine在 dauphine.eu 的电子邮件经过验证
Olivier Teytaudfacebook在 fb.com 的电子邮件经过验证
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
Runlong ZhouPaul G. Allen School of Computer Science & Engineering, University of Washington在 cs.washington.edu 的电子邮件经过验证
Mohammad GhavamzadehAmazon在 amazon.com 的电子邮件经过验证
Shubhanshu ShekharCMU在 andrew.cmu.edu 的电子邮件经过验证
Ludovic DenoyerUbisoft, ex Facebook - FAIR -- Full Professor at Sorbonne Universités on Sabatical在 ubisoft.com 的电子邮件经过验证
sylvain lamprierLERIA - Université d'Angers在 univ-angers.fr 的电子邮件经过验证
Pierre MénardOvGU Magdeburg在 inria.fr 的电子邮件经过验证
Omar Darwiche DominguesOwkin在 owkin.com 的电子邮件经过验证
Tor LattimoreDeepMind在 google.com 的电子邮件经过验证
Brendan O'DonoghueStanford University, Google DeepMind在 alumni.stanford.edu 的电子邮件经过验证

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Jean Tarbouriech

Google DeepMind

在 google.com 的电子邮件经过验证

Machine Learning Reinforcement Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Active Exploration in Markov Decision Processes J Tarbouriech, A Lazaric International Conference on Artificial Intelligence and Statistics (AISTATS), 2019	59	2019
Adversarial Attacks on Linear Contextual Bandits E Garcelon, B Roziere, L Meunier, J Tarbouriech, O Teytaud, A Lazaric, ... Neural Information Processing Systems (NeurIPS), 2020	57	2020
No-Regret Exploration in Goal-Oriented Reinforcement Learning J Tarbouriech, E Garcelon, M Valko, M Pirotta, A Lazaric International Conference on Machine Learning (ICML), 2020	42	2020
Stochastic Shortest Path: Minimax, Parameter-Free and Towards Horizon-Free Regret J Tarbouriech, R Zhou, SS Du, M Pirotta, M Valko, A Lazaric Neural Information Processing Systems (NeurIPS), 2021	32	2021
Active Model Estimation in Markov Decision Processes J Tarbouriech, S Shekhar, M Pirotta, M Ghavamzadeh, A Lazaric Uncertainty in Artificial Intelligence (UAI), 2020	27	2020
Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching PA Kamienny, J Tarbouriech, A Lazaric, L Denoyer International Conference on Learning Representations (ICLR), 2022	19	2022
A Provably Efficient Sample Collection Strategy for Reinforcement Learning J Tarbouriech, M Pirotta, M Valko, A Lazaric Neural Information Processing Systems (NeurIPS), 2021	18	2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs J Tarbouriech, M Pirotta, M Valko, A Lazaric Neural Information Processing Systems (NeurIPS), 2020	16	2020
Sample Complexity Bounds for Stochastic Shortest Path with a Generative Model J Tarbouriech, M Pirotta, M Valko, A Lazaric Algorithmic Learning Theory (ALT), 2021	15	2021
Adaptive Multi-Goal Exploration J Tarbouriech, OD Domingues, P Ménard, M Pirotta, M Valko, A Lazaric International Conference on Artificial Intelligence and Statistics (AISTATS), 2022	4	2022
Goal-oriented exploration for reinforcement learning J Tarbouriech Université de Lille, 2022	2	2022
Reward-free exploration beyond finite-horizon J Tarbouriech, M Pirotta, M Valko, A Lazaric ICML 2020 Workshop on Theoretical Foundations of Reinforcement Learning, 2020	1	2020
Probabilistic Inference in Reinforcement Learning Done Right J Tarbouriech, T Lattimore, B O'Donoghue Advances in Neural Information Processing Systems 36, 2023		2023
Exploration d’états buts pour l’apprentissage par renforcement J Tarbouriech Université de Lille, 2022		2022

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