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
Theophane Weber — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Theophane Weber
10
papers ·
419
citations ·
22
h-index
Google (United Kingdom)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning and Querying Fast Generative Models for Reinforcement Learning
2018 · 70 citations
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
2018 · 41 citations
Causally Correct Partial Models for Reinforcement Learning
2020 · 16 citations
Synthetic Returns for Long-Term Credit Assignment
2021 · 12 citations
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
2020 · 9 citations
Procedural Generalization By Planning With Self-supervised World Models
2021 · 4 citations
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
2020 · 2 citations
Top co-authors
Lars Buesing
· 5
Nicolas Heess
· 3
Arthur Guez
· 2
Fabio Viola
· 2
Frederic Besse
· 2
Jessica B. Hamrick
· 2
Karol Gregor
· 2
Sebastien Racaniere
· 2
Adam Santoro
· 1
Alexander Neitz
· 1
Andrew Jaegle
· 1
Ankesh Anand
· 1
Topics
Model-Based RL
Game AI
Meta-RL
Exploration
Policy Gradient
Offline RL
Value-Based