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
Adam Stooke — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Adam Stooke
10
papers ·
708
citations ·
11
h-index
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Reinforcement Learning with Augmented Data
2020 · 247 citations
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
2016 · 199 citations
Accelerated Methods for Deep Reinforcement Learning
2018 · 98 citations
Decoupling Representation Learning from Reinforcement Learning
2020 · 65 citations
rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch
2019 · 52 citations
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
2020 · 44 citations
Perception-Prediction-Reaction Agents for Deep Reinforcement Learning
2020 · 1 citations
Top co-authors
Pieter Abbeel
· 5
Kimin Lee
· 2
and Aravind Srinivas
· 1
and Max Jaderberg
· 1
and Michael Laskin
· 1
and Pieter Abbeel
· 1
Davis Foote
· 1
Filip De Turck
· 1
Haoran Tang
· 1
John Schulman
· 1
Joshua Achiam
· 1
Lerrel Pinto
· 1
Topics
Exploration
Value-Based
Policy Gradient
Game AI
Multi-Agent
Model-Based RL
Safe RL
Offline RL