Deep Q-Network-Based Intelligent Routing Protocol for Underwater Acoustic Sensor Network
Author:
Affiliation:
1. Department of Electronics, Shanghai Maritime University, Shanghai, China
Funder
Innovation Program of Shanghai Municipal Education Commission of China
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10043099/10012647.pdf?arnumber=10012647
Reference16 articles.
1. Human-level control through deep reinforcement learning
2. Aqua-Sim Next Generation
3. Deep Reinforcement Learning with Double Q-Learning
4. DQELR: An Adaptive Deep Q-Network-Based Energy- and Latency-Aware Routing Protocol Design for Underwater Acoustic Sensor Networks
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