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
Charles Blundell — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Charles Blundell
19
papers ·
2618
citations ·
28
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
PathNet: Evolution Channels Gradient Descent in Super Neural Networks
2017 · 645 citations
Deep Exploration via Bootstrapped DQN
2016 · 468 citations
Noisy Networks for Exploration
2017 · 391 citations
Learning to reinforcement learn
2016 · 380 citations
Model-Free Episodic Control
2016 · 174 citations
Agent57: Outperforming the Atari Human Benchmark
2020 · 147 citations
DARLA: Improving Zero-Shot Transfer in Reinforcement Learning
2017 · 139 citations
Neural Episodic Control
2017 · 92 citations
Never Give Up: Learning Directed Exploration Strategies
2020 · 80 citations
Generalization of Reinforcement Learners with Working and Episodic Memory
2019 · 28 citations
Fast deep reinforcement learning using online adjustments from the past
2018 · 18 citations
Beyond Fine-Tuning: Transferring Behavior in Reinforcement Learning
2021 · 12 citations
CoBERL: Contrastive BERT for Reinforcement Learning
2021 · 8 citations
Retrieval-Augmented Reinforcement Learning
2022 · 6 citations
Emphatic Algorithms for Deep Reinforcement Learning
2021 · 3 citations
Top co-authors
Alexander Pritzel
· 7
Adri\`a Puigdom\`enech Badia
· 4
Pablo Sprechmann
· 4
Alex Vitvitskyi
· 3
Daan Wierstra
· 3
Demis Hassabis
· 3
Steven Kapturowski
· 3
Andrei A. Rusu
· 2
Benigno Uria
· 2
Bilal Piot
· 2
Daniel Guo
· 2
Ian Osband
· 2
Topics
Value-Based
Exploration
Game AI
Meta-RL
Model-Based RL
Safe RL
Offline RL