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
John Aslanides — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
John Aslanides
7
papers ·
303
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Randomized Prior Functions for Deep Reinforcement Learning
2018 · 116 citations
Acme: A Research Framework for Distributed Reinforcement Learning
2020 · 73 citations
When to use parametric models in reinforcement learning?
2019 · 63 citations
Behaviour Suite for Reinforcement Learning
2019 · 36 citations
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
2020 · 9 citations
AIXIjs: A Software Demo for General Reinforcement Learning
2017 · 6 citations
Generalised Discount Functions applied to a Monte-Carlo AImu Implementation
2017
Top co-authors
Hado van Hasselt
· 2
Ian Osband
· 2
Matteo Hessel
· 2
Abbas Abdolmaleki
· 1
Abe Friesen
· 1
Albin Cassirer
· 1
Albin Cassirer
· 1
Alexander Neitz
· 1
Alexis Jacq
· 1
Alex Novikov
· 1
Andre Saraiva
· 1
Andrew Cowie
· 1
Topics
Value-Based
Model-Based RL
Exploration
Offline RL
Game AI
Meta-RL
Multi-Agent