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
Yee Whye Teh — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yee Whye Teh
30
papers ·
711
citations ·
57
h-index
University of Oxford
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Distral: Robust Multitask Reinforcement Learning
2017 · 183 citations
Meta reinforcement learning as task inference
2019 · 63 citations
An Analysis of Categorical Distributional Reinforcement Learning
2018 · 43 citations
Mix&Match - Agent Curricula for Reinforcement Learning
2018 · 29 citations
Exploiting Hierarchy for Learning and Transfer in KL-regularized RL
2019 · 20 citations
Behavior Priors for Efficient Reinforcement Learning
2020 · 14 citations
Meta-Learning surrogate models for sequential decision making
2019 · 10 citations
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations
2022 · 4 citations
On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
2022 · 2 citations
Importance Weighted Policy Learning and Adaptation
2020 · 1 citations
Non-Stationary Learning of Neural Networks with Automatic Soft Parameter Reset
2024 · 1 citations
Top co-authors
Alexandre Galashov
· 6
Nicolas Heess
· 6
Leonard Hasenclever
· 5
Razvan Pascanu
· 5
Wojciech Marian Czarnecki
· 3
Arun Ahuja
· 2
Cong Lu
· 2
Dhruva Tirumala
· 2
Guillaume Desjardins
· 2
Hyeonwoo Noh
· 2
Jan Humplik
· 2
Jonathan Schwarz
· 2
Topics
Meta-RL
Model-Based RL
Value-Based
Exploration
Policy Gradient
Offline RL
Multi-Agent
Game AI
Safe RL