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Pingyi Fan — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Pingyi Fan
37
papers ·
196
citations ·
47
h-index
Space Engineering University · Tsinghua 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
Deep Reinforcement Learning Based Vehicle Selection for Asynchronous Federated Learning Enabled Vehicular Edge Computing
2023 · 11 citations
Mobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning
2022 · 6 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
Digital Twin Vehicular Edge Computing Network: Task Offloading and Resource Allocation
2024 · 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
Cooperative Edge Caching Based on Elastic Federated and Multi-Agent Deep Reinforcement Learning in Next-Generation Network
2024
Anti-Byzantine Attacks Enabled Vehicle Selection for Asynchronous Federated Learning in Vehicular Edge Computing
2024
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
Joint Optimization of Age of Information and Energy Consumption in NR-V2X System based on Deep Reinforcement Learning
2024
Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation
2024
Top co-authors
Qiong Wu
· 13
Jiangzhou Wang
· 8
Nan Cheng
· 8
Wen Chen
· 8
Khaled B. Letaief
· 7
Qiang Fan
· 5
and Khaled B. Letaief
· 4
Qiong Wu
· 4
Qiang Fan
· 3
Yu Xie
· 2
and Qiang Fan
· 1
and Zhengquan Li
· 1
Topics
Multi-Agent
Model-Based RL
Value-Based
Policy Gradient
Safe RL