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
Jiangzhou Wang — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jiangzhou Wang
12
papers ·
120
citations ·
62
h-index
Inner Mongolia University of Science and Technology · Southeast University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep-Reinforcement-Learning-Based AoI-Aware Resource Allocation for RIS-Aided IoV Networks
2024 · 35 citations
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning
2024 · 4 citations
Deep Reinforcement Learning Based Power Allocation for Minimizing AoI and Energy Consumption in MIMO-NOMA IoT Systems
2023 · 2 citations
Semantic-Aware Spectrum Sharing in Internet of Vehicles Based on Deep Reinforcement Learning
2024 · 1 citations
Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications
2024 · 1 citations
Distributed Deep Reinforcement Learning Based Gradient Quantization for Federated Learning Enabled Vehicle Edge Computing
2024 · 1 citations
Large Language Model-Empowered Decision Transformer for UAV-Enabled Data Collection
2025
Reconfigurable Intelligent Surface Assisted VEC Based on Multi-Agent Reinforcement Learning
2024
Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
2024
Top co-authors
Pingyi Fan
· 8
Qiong Wu
· 7
Nan Cheng
· 6
Khaled B. Letaief
· 5
Wen Chen
· 5
Qiang Fan
· 2
and Khaled B. Letaief
· 1
and Zhengquan Li
· 1
Arumugam Nallanathan
· 1
Cui Zhang
· 1
Hongbiao Zhu
· 1
Hyundong Shin
· 1
Topics
Model-Based RL
Value-Based
Policy Gradient
Multi-Agent
Offline RL
Safe RL