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
Dacheng Tao — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Dacheng Tao
131
papers ·
602
citations ·
155
h-index
The University of Sydney · Nanyang Technological University · UNSW Sydney
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
2025 · 274 citations
Effective Policy Learning for Multi-Agent Online Coordination Beyond Submodular Objectives
2025 · 3 citations
State Diversity Matters in Offline Behavior Distillation
2025
Offline Behavioral Data Selection
2025
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning
2025
A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
2025
Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
2025
Off-policy Imitation Learning from Visual Inputs
2021
Top co-authors
Li Shen
· 4
Zhihao Cheng
· 3
Guozheng Ma
· 2
Jiaxing Huang
· 2
Shiye Lei
· 2
Shunyu Liu
· 2
Xikun Zhang
· 2
Can Jin
· 1
Fei Huang
· 1
Haixia Pan
· 1
Haoyu Wang
· 1
Huanjin Yao
· 1
Topics
cs.LG
Policy Gradient
cs.AI
Model-Based RL
RLHF & Alignment
Multi-Agent
Exploration