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Nov, 2024
基于扩散的强化学习的依赖感知CAV任务调度
Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning
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Xiang Cheng, Zhi Mao, Ying Wang, Wen Wu
TL;DR
本文提出了一种新颖的依赖感知任务调度策略,旨在解决动态无人机辅助的连接自主车辆(CAVs)在任务完成时面临的调度问题。研究创新地将任务调度作为马尔可夫决策过程,并引入基于扩散的强化学习算法,以实时适应性地调度任务,从而显著减少任务完成时间。
Abstract
In this paper, we propose a novel dependency-aware
Task Scheduling
strategy for dynamic unmanned aerial vehicle-assisted
Connected Autonomous Vehicles
(CAVs). Specifically, different computation tasks of CAVs con
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