GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for
DAG Task Scheduling over Dynamic Vehicular Clouds

GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds

3 July 2023

Seyyedali Hosseinalipour

Papers citing "GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds"

9 / 9 papers shown

Title
Deep Reinforcement Learning based Autonomous Decision-Making for Cooperative UAVs: A Search and Rescue Real World Application Thomas Hickling Maxwell Hogan Abdulla Tammam Nabil Aouf 74 0 0 27 Feb 2025
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
Two-Timescale Model Caching and Resource Allocation for Edge-Enabled AI-Generated Content Services Zhang Liu Hongyang Du Xiangwang Hou Lianfen Huang Seyyedali Hosseinalipour Dusit Niyato K. B. Letaief DiffM 49 1 0 03 Nov 2024
Optimizing Age of Information in Vehicular Edge Computing with Federated Graph Neural Network Multi-Agent Reinforcement Learning Wenhua Wang Qiong Wu Pingyi Fan Nan Cheng Wen Chen Jiangzhou Wang Khaled B. Letaief 31 1 0 01 Jul 2024
Graph Neural Networks for Job Shop Scheduling Problems: A Survey Igor G. Smit Jianan Zhou Robbert Reijnen Yaoxin Wu Jian Chen Cong Zhang Z. Bukhsh Wim P. M. Nuijten Yingqian Zhang GNN AI4CE 36 8 0 20 Jun 2024
DNN Partitioning, Task Offloading, and Resource Allocation in Dynamic Vehicular Networks: A Lyapunov-Guided Diffusion-Based Reinforcement Learning Approach Zhang Liu Hongyang Du Junzhe Lin Zhibin Gao Lianfen Huang Seyyedali Hosseinalipour Dusit Niyato 34 7 0 11 Jun 2024
Generative AI for Secure Physical Layer Communications: A Survey Changyuan Zhao Hongyang Du Dusit Niyato Jiawen Kang Zehui Xiong Dong In Kim Xuemin X. Shen K. B. Letaief 69 19 0 21 Feb 2024
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 35 85 0 24 Oct 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 82 110 0 04 Jan 2021