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
Oleg Klimov — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Oleg Klimov
5
papers ·
597
citations ·
7
h-index
OpenAI (United States)
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Exploration by Random Network Distillation
2018 · 259 citations
Quantifying Generalization in Reinforcement Learning
2018 · 195 citations
Gotta Learn Fast: A New Benchmark for Generalization in RL
2018 · 85 citations
Phasic Policy Gradient
2020 · 49 citations
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft
2021 · 9 citations
Top co-authors
John Schulman
· 3
Karl Cobbe
· 2
Adrien Ecoffet
· 1
Alex Nichol
· 1
Amos Storkey
· 1
Bowen Baker
· 1
Brandon Houghton
· 1
Chris Hesse
· 1
Christopher Hesse
· 1
David Farhi
· 1
Harrison Edwards
· 1
Ingmar Kanitscheider
· 1
Topics
Game AI
Meta-RL
Exploration
Value-Based
Policy Gradient
Multi-Agent