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
Hui Xiong — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Hui Xiong
108
papers ·
1866
citations ·
89
h-index
China Pharmaceutical University · Hong Kong University of Science and Technology · University of Hong Kong
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control
2019 · 11 citations
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning
2021 · 10 citations
LLMLight: Large Language Models as Traffic Signal Control Agents
2023 · 10 citations
CoordiQ : Coordinated Q-learning for Electric Vehicle Charging Recommendation
2021 · 3 citations
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop
2020 · 2 citations
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams
2022 · 2 citations
Optimizing the Unknown: Black Box Bayesian Optimization with Energy-Based Model and Reinforcement Learning
2025 · 1 citations
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation
2024 · 1 citations
TimeRFT: Stimulating Generalizable Time Series Forecasting for TSFMs via Reinforcement Finetuning
2026
Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent
2026
Quantile Geometry Regularization for Distributional Reinforcement Learning
2026
ICRL: Learning to Internalize Self-Critique with Reinforcement Learning
2026
LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning
2026
GoldenStart: Q-Guided Priors and Entropy Control for Distilling Flow Policies
2026
A Pontryagin Method of Model-based Reinforcement Learning via Hamiltonian Actor-Critic
2026
Top co-authors
Hao Liu
· 6
Kunpeng Liu
· 3
Tong Xu
· 3
Yanjie Fu
· 3
and Yize Chen
· 2
Hengshu Zhu
· 2
He Zhang
· 2
Sihong Xie
· 2
Tianfu Wang
· 2
Wei Fan
· 2
Weijia Zhang
· 2
Ying Sun
· 2
Topics
cs.AI
Exploration
Multi-Agent
cs.LG
Model-Based RL
Policy Gradient
Value-Based
Safe RL
cs.MA
eess.SY