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Emilie Kaufmann — most-cited papers & profile · Reinforcement Learning
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overview
Emilie Kaufmann
10
papers ·
79
citations ·
19
h-index
Centre National de la Recherche Scientifique · Université de Lille · Centre de Recherche en Informatique, Signal et Automatique de Lille · École Centrale de Lille
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Most-cited papers
Fast active learning for pure exploration in reinforcement learning
2020 · 29 citations
Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
2020 · 23 citations
Adaptive Reward-Free Exploration
2020 · 11 citations
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces
2020 · 9 citations
Kernel-Based Reinforcement Learning: A Finite-Time Analysis
2020 · 2 citations
Finding good policies in average-reward Markov Decision Processes without prior knowledge
2024 · 1 citations
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
2022
Active Coverage for PAC Reinforcement Learning
2023
Towards Instance-Optimality in Online PAC Reinforcement Learning
2023
Top co-authors
Omar Darwiche Domingues
· 5
Pierre M\'enard
· 5
Michal Valko
· 4
Andrea Tirinzoni
· 3
Aymen Al-Marjani
· 3
Anders Jonsson
· 2
Edouard Leurent
· 2
Matteo Pirotta
· 2
Adrienne Tuynman
· 1
Michal Valko
· 1
R\'emy Degenne
· 1
Topics
Model-Based RL
Exploration
Value-Based
Offline RL
Safe RL