Awesome Reinforcement Learning
📄
Papers
🧭
Topics
🔥
Trending
🗺️
Map
🏆
Leaderboards
🎓
Learn
🤖
Ask AI
⋯
More
👥
Authors
📚
Reading Packs
📊
Datasets
🛠️
Tools
📰
News
📝
Blogs
✉️
Newsletter
🎯
Research Radar
🔖
Saved
+ Add Paper
☾
☀
← authors
·
overview
Loading author…
🤖
Ask AI
Alexandre Proutière — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Alexandre Proutière
16
papers ·
80
citations ·
45
h-index
Institute for Futures Studies · Digital Futures · The University of Tokyo · KTH Royal Institute of Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Exploration in Structured Reinforcement Learning
2018 · 29 citations
Optimal Attacks on Reinforcement Learning Policies
2019 · 18 citations
From self-tuning regulators to reinforcement learning and back again
2019 · 16 citations
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
2020 · 8 citations
Conformal Off-Policy Evaluation in Markov Decision Processes
2023 · 7 citations
Model-Free Active Exploration in Reinforcement Learning
2024 · 2 citations
Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning
2026
Advantage-Guided Diffusion for Model-Based Reinforcement Learning
2026
Shift Before You Learn: Enabling Low-Rank Representations in Reinforcement Learning
2025
Adaptive Reinforcement Learning for Unobservable Random Delays
2025
Policy Testing in Markov Decision Processes
2025
Best Policy Identification in Linear MDPs
2022
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning
2023
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation
2024
Top co-authors
Alessio Russo
· 3
Stefan Stojanović
· 3
Yassir Jedra
· 3
Daniele Foffano
· 2
David Broman
· 2
Anders Rantzer
· 1
Arvid Eriksson
· 1
Aymen Al Marjani
· 1
Bastien Dubail
· 1
Damianos Tranos
· 1
Jerome Taupin
· 1
John Wikman
· 1
Topics
Model-Based RL
Value-Based
Exploration
Policy Gradient
Safe RL
Meta-RL
Offline RL