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Bruno Scherrer — most-cited papers & profile · Reinforcement Learning
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Bruno Scherrer
6
papers ·
118
citations
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
A Theory of Regularized Markov Decision Processes
2019 · 90 citations
Beyond the One Step Greedy Approach in Reinforcement Learning
2018 · 12 citations
Multiple-Step Greedy Policies in Online and Approximate Reinforcement Learning
2018 · 7 citations
Infinite-Horizon Offline Reinforcement Learning with Linear Function Approximation: Curse of Dimensionality and Algorithm
2021 · 4 citations
Momentum in Reinforcement Learning
2019 · 3 citations
Leverage the Average: an Analysis of KL Regularization in RL
2020 · 2 citations
Top co-authors
Matthieu Geist
· 3
Olivier Pietquin
· 3
Gal Dalal
· 2
Nino Vieillard
· 2
Shie Mannor
· 2
Yonathan Efroni
· 2
Lin Chen
· 1
Peter L. Bartlett
· 1
R\'emi Munos
· 1
Tadashi Kozuno
· 1
Topics
Value-Based
Model-Based RL
Policy Gradient
Safe RL
Game AI
Offline RL