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Deep Reinforcement Learning for Collaborative Edge Computing in
  Vehicular Networks

Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks

5 October 2020
Mushu Li
Jie Gao
Lian Zhao
Xuemin Shen
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for Collaborative Edge Computing in Vehicular Networks"

14 / 14 papers shown
Title
Learning Value of Information towards Joint Communication and Control in 6G V2X
Learning Value of Information towards Joint Communication and Control in 6G V2X
Lei Lei
K. Zheng
Xuemin
Shen
89
0
0
11 May 2025
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning
Research on Edge Computing and Cloud Collaborative Resource Scheduling Optimization Based on Deep Reinforcement Learning
Yuqing Wang
Xiao Yang
95
3
0
26 Feb 2025
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
Intelligent Offloading in Vehicular Edge Computing: A Comprehensive Review of Deep Reinforcement Learning Approaches and Architectures
Ashab Uddin
Ahmed Hamdi Sakr
Ning Zhang
OffRL
95
0
0
10 Feb 2025
Communication-Aware Consistent Edge Selection for Mobile Users and
  Autonomous Vehicles
Communication-Aware Consistent Edge Selection for Mobile Users and Autonomous Vehicles
Nazish Tahir
Ramviyas Parasuraman
Haijian Sun
45
0
0
06 Aug 2024
Towards Secure and Efficient Data Scheduling for Vehicular Social
  Networks
Towards Secure and Efficient Data Scheduling for Vehicular Social Networks
Youhua Xia
Tiehua Zhang
Jiong Jin
Ying He
Fei Richard Yu
28
1
0
28 Jun 2024
Adaptive Device-Edge Collaboration on DNN Inference in AIoT: A Digital
  Twin-Assisted Approach
Adaptive Device-Edge Collaboration on DNN Inference in AIoT: A Digital Twin-Assisted Approach
Shisheng Hu
Mushu Li
Jie Gao
Conghao Zhou
X. Shen
59
14
0
27 May 2024
Structural Knowledge-Driven Meta-Learning for Task Offloading in
  Vehicular Networks with Integrated Communications, Sensing and Computing
Structural Knowledge-Driven Meta-Learning for Task Offloading in Vehicular Networks with Integrated Communications, Sensing and Computing
Ruijin Sun
Yao Wen
Nan Cheng
Wei Wan
Rong Chai
Yilong Hui
32
1
0
25 Feb 2024
Knowledge-Driven Multi-Agent Reinforcement Learning for Computation
  Offloading in Cybertwin-Enabled Internet of Vehicles
Knowledge-Driven Multi-Agent Reinforcement Learning for Computation Offloading in Cybertwin-Enabled Internet of Vehicles
Ruijin Sun
Xiao Yang
Nan Cheng
Xiucheng Wang
Chang Li
OffRL
18
2
0
04 Aug 2023
Energy Efficient Offloading Policies in Multi-Access Edge Computing
  Systems with Task Handover
Energy Efficient Offloading Policies in Multi-Access Edge Computing Systems with Task Handover
L. Hou
Jingjin Wu
Jing-Zhi Fu
13
1
0
27 Jun 2023
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented
  Reality
Digital Twin-Based 3D Map Management for Edge-Assisted Mobile Augmented Reality
Conghao Zhou
Jie Ying Gao
Mushu Li
Nan Cheng
X. Shen
W. Zhuang
21
1
0
26 May 2023
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative
  Edge Computing
Spectrum-aware Multi-hop Task Routing in Vehicle-assisted Collaborative Edge Computing
Yiqin Deng
Haixia Zhang
Xianhao Chen
Yuguang Fang
43
2
0
14 Apr 2023
Holistic Network Virtualization and Pervasive Network Intelligence for
  6G
Holistic Network Virtualization and Pervasive Network Intelligence for 6G
Xuemin Shen
Shen
Jie Gao
Wen Wu
Mushu Li
Conghao Zhou
W. Zhuang
88
238
0
02 Jan 2023
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge
  Intelligence
Reinforcement Learning-Empowered Mobile Edge Computing for 6G Edge Intelligence
Pengjin Wei
Kun Guo
Ye Li
Jue Wang
W. Feng
Shi Jin
Ning Ge
Ying-Chang Liang
90
45
0
27 Jan 2022
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via
  Constrained Learning
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning
Wen Wu
Nan Chen
Conghao Zhou
Mushu Li
Xuemin Shen
W. Zhuang
Xu Li
151
128
0
03 Dec 2020
1