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
Emilio Parisotto — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Emilio Parisotto
16
papers ·
644
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Stabilizing Transformers for Reinforcement Learning
2019 · 132 citations
Neural Map: Structured Memory for Deep Reinforcement Learning
2017 · 102 citations
Efficient Exploration via State Marginal Matching
2019 · 97 citations
Concurrent Meta Reinforcement Learning
2019 · 14 citations
Structured State Space Models for In-Context Reinforcement Learning
2023 · 11 citations
In-context Reinforcement Learning with Algorithm Distillation
2022 · 10 citations
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
2021 · 5 citations
On Proximal Policy Optimization's Heavy-tailed Gradients
2021 · 2 citations
Top co-authors
Ruslan Salakhutdinov
· 5
Albert Gu
· 1
Benjamin Eysenbach
· 1
Caglar Gulcehre
· 1
Dj Strouse
· 1
Eric Xing
· 1
Feryal Behbahani
· 1
H. Francis Song
· 1
Jack W. Rae
· 1
Jakob Foerster
· 1
Junhyuk Oh
· 1
J. Zico Kolter
· 1
Topics
Model-Based RL
Exploration
Value-Based
Meta-RL
Policy Gradient
Multi-Agent
Game AI