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
Wenbo Ding — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Wenbo Ding
5
papers ·
5
citations ·
36
h-index
Chinese University of Hong Kong, Shenzhen
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
2026
Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization
2025
Top co-authors
Chao Wang
· 1
Chao Yu
· 1
Chunyang Zhu
· 1
Hongtao Tian
· 1
Qiyao Ma
· 1
Quanlu Zhang
· 1
Ruize Zhang
· 1
Shi Yu
· 1
Tao Yang
· 1
Ting Yao
· 1
Weilin Liu
· 1
Xiaotao Liu
· 1
Topics
Model-Based RL
Multi-Agent
Exploration
Policy Gradient
Meta-RL