Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks

24 January 2020

Papers citing "Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks"

7 / 7 papers shown

Title
Deep Reinforcement Learning for Job Scheduling and Resource Management in Cloud Computing: An Algorithm-Level Review Yan Gu Zhaoze Liu Shuhong Dai Cong Liu Ying Wang Shen Wang Georgios Theodoropoulos Long Cheng 38 0 0 03 Jan 2025
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks Lu Yu Zheng Chang Yunjian Jia Geyong Min 30 1 0 11 Nov 2024
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system Li Dong Luke Robinson Minjie Wang Daniele De Martini Xiaolong Li 44 12 0 02 Aug 2024
Multi-objective Deep Reinforcement Learning for Mobile Edge Computing Ning Yang Junrui Wen Mengya Zhang Mingqi Tang 19 5 0 05 Jul 2023
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning Tinghao Zhang Zhijun Li Yongrui Chen Kwok-Yan Lam Jun Zhao 8 4 0 11 Oct 2022
Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning Zhiwei Hao Guanyu Xu Yong Luo Han Hu Jianping An Shiwen Mao 32 22 0 24 May 2022
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 28 45 0 27 Jan 2022