Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System

Volume: 10, Issue: 6, Pages: 60
Published: Dec 14, 2019
Abstract
The development of smart vehicles brings drivers and passengers a comfortable and safe environment. Various emerging applications are promising to enrich users’ traveling experiences and daily life. However, how to execute computing-intensive applications on resource-constrained vehicles still faces huge challenges. In this article, we construct an intelligent offloading system for vehicular edge computing by leveraging deep reinforcement...
Paper Details
Title
Deep Reinforcement Learning for Vehicular Edge Computing: An Intelligent Offloading System
Published Date
Dec 14, 2019
Volume
10
Issue
6
Pages
60
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