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Evrard Garcelon — most-cited papers & profile · Reinforcement Learning
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Evrard Garcelon
7
papers ·
31
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
Local Differential Privacy for Regret Minimization in Reinforcement Learning
2020 · 12 citations
No-Regret Exploration in Goal-Oriented Reinforcement Learning
2019 · 8 citations
Conservative Exploration in Reinforcement Learning
2020 · 8 citations
A Reduction-Based Framework for Conservative Bandits and Reinforcement Learning
2021 · 2 citations
Differentially Private Exploration in Reinforcement Learning with Linear Representation
2021 · 1 citations
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation
2023
Top co-authors
Matteo Pirotta
· 5
Alessandro Lazaric
· 4
Achraf Azize
· 1
Ciara Pike-Burke
· 1
Han Zhong
· 1
Jean Tarbouriech
· 1
Liwei Wang
· 1
Mathias Formoso
· 1
Michal Valko
· 1
Mohammad Ghavamzadeh
· 1
Othman Gaizi
· 1
Paul Daoudi
· 1
Topics
Exploration
Safe RL
Value-Based
Offline RL
Model-Based RL