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
Daniel D. Lee — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniel D. Lee
4
papers ·
30
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients
2018 · 17 citations
Learning to Track Dynamic Targets in Partially Known Environments
2020 · 8 citations
Top co-authors
Alejandro Ribeiro
· 1
Arbaaz Khan
· 1
Clark Zhang
· 1
George J. Pappas
· 1
Hamed Hassani
· 1
Heejin Jeong
· 1
Manfred Morari
· 1
Vijay Kumar
· 1
Topics
Policy Gradient
Multi-Agent
Model-Based RL
Exploration