Task Offloading and Resource Allocation for Industrial Internet of Things: A Double-Dueling Deep Q-Network Approach
Author:
Affiliation:
1. School of Information Engineering, Minzu University of China, Beijing, China
2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China
Funder
Open Foundation of the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09904956.pdf?arnumber=9904956
Reference31 articles.
1. Deep Reinforcement Learning with Double Q-Learning
2. Dueling network architectures for deep reinforcement learning;wang;Proc 33rd Int Conf Mach Learn,2016
3. Distributed offloading in overlapping areas of mobile edge computing for Internet of Things;huang;IEEE Internet of Things Journal,2018
4. Offloading Selection Based on Heterogeneous Utility in MEC Networks: A Coalition Formation Game-theoretic Approach
5. A Distributed Computation Offloading Strategy in Small-Cell Networks Integrated With Mobile Edge Computing
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