ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.08430
  4. Cited By
Deep Reinforcement Learning for Stochastic Computation Offloading in
  Digital Twin Networks
v1v2 (latest)

Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks

17 November 2020
Yueyue Dai
Ke Zhang
Sabita Maharjan
Yan Zhang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Deep Reinforcement Learning for Stochastic Computation Offloading in Digital Twin Networks"

15 / 15 papers shown
Title
A Lyapunov Drift-Plus-Penalty Method Tailored for Reinforcement Learning with Queue Stability
Wenhan Xu
Jiashuo Jiang
Lei Deng
Danny Hin-Kwok Tsang
19
0
0
04 Jun 2025
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach
Energy Optimization of Multi-task DNN Inference in MEC-assisted XR Devices: A Lyapunov-Guided Reinforcement Learning Approach
Yanzan Sun
Jiacheng Qiu
Guangjin Pan
Shugong Xu
Shunqing Zhang
Xiaoyun Wang
Shuangfeng Han
72
0
0
07 Jan 2025
Two-Timescale Synchronization and Migration for Digital Twin Networks: A
  Multi-Agent Deep Reinforcement Learning Approach
Two-Timescale Synchronization and Migration for Digital Twin Networks: A Multi-Agent Deep Reinforcement Learning Approach
Wenshuai Liu
Yaru Fu
Yongna Guo
Fu Lee Wang
Wen Sun
Yan Zhang
56
8
0
02 Sep 2024
Digital Twin-assisted Reinforcement Learning for Resource-aware
  Microservice Offloading in Edge Computing
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
Xiangchun Chen
Jiannong Cao
Zhixuan Liang
Yuvraj Sahni
Mingjin Zhang
65
3
0
13 Mar 2024
Multiple Access in the Era of Distributed Computing and Edge
  Intelligence
Multiple Access in the Era of Distributed Computing and Edge Intelligence
Nikos G. Evgenidis
Nikos A. Mitsiou
Vasiliki I. Koutsioumpa
Sotiris A. Tegos
P. Diamantoulakis
G. Karagiannidis
78
14
0
26 Feb 2024
Causal Semantic Communication for Digital Twins: A Generalizable
  Imitation Learning Approach
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach
Christo Kurisummoottil Thomas
Walid Saad
Yong Xiao
85
22
0
25 Apr 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security
  and Privacy, and Future Prospects
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects
Yuntao Wang
Zhou Su
Shaolong Guo
Minghui Dai
Tom H. Luan
Yiliang Liu
96
125
0
31 Jan 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
106
239
0
02 Jan 2023
Metaverse Communications, Networking, Security, and Applications:
  Research Issues, State-of-the-Art, and Future Directions
Metaverse Communications, Networking, Security, and Applications: Research Issues, State-of-the-Art, and Future Directions
Mansoor Ali
F. Naeem
Georges Kaddoum
Ekram Hossain
90
53
0
25 Dec 2022
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and
  Data Collection in Wireless Systems
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems
Clement Ruah
Osvaldo Simeone
Bashir M. Al-Hashimi
220
29
0
02 Dec 2022
Digital Twin-Based Multiple Access Optimization and Monitoring via
  Model-Driven Bayesian Learning
Digital Twin-Based Multiple Access Optimization and Monitoring via Model-Driven Bayesian Learning
Clement Ruah
Osvaldo Simeone
Bashir M. Al-Hashimi
83
6
0
11 Oct 2022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning
  Enabling Technologies
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
SyDaAI4CE
94
208
0
26 Aug 2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
Tianming Zheng
Ming Liu
Deepak Puthal
57
16
0
24 May 2022
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G
  Networks: Research Directions for Security and Optimal Control
Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control
Jithin Jagannath
Keyvan Ramezanpour
Anu Jagannath
AI4CE
96
33
0
05 Apr 2022
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
104
46
0
27 Jan 2022
1