How Reinforcement Learning is Helping to Solve Internet-of-Underwater-Things Problems-Reference-Cited by-同舟云学术

How Reinforcement Learning is Helping to Solve Internet-of-Underwater-Things Problems

Published:2022-12 Issue:4 Volume:5 Page:24-29
ISSN:2576-3180
Container-title:IEEE Internet of Things Magazine
language:
Short-container-title:IEEE Internet Things M.

Author:

Omeke Kenechi G.¹,Abubakar Attai I.¹,Zhang Lei¹,Abbasi Qammer H.¹,Imran Muhammad Ali¹

Affiliation:

1. University of Glasgow,UK

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/8548628/10012401/10012479.pdf?arnumber=10012479

Reference15 articles.

1. Enabling Sustainable Underwater IoT Networks With Energy Harvesting: A Decentralized Reinforcement Learning Approach

2. DEKCS: A Dynamic Clustering Protocol to Prolong Underwater Sensor Networks

3. Autonomous underwater vehicle formation control and obstacle avoidance using multi-agent generative adversarial imitation learning

4. Integrated Localization and Localization for AUV with Model Uncertainties via Scalable Sampling-Based Reinforcement Learning Approach;yan;IEEE Trans Systems Man and Cybernetics Systems,2021

5. Federated Deep Reinforcement Learning;hankui zhuo;ArXiv e-prints,2019

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Internet of Underwater Things: A Survey on Simulation Tools and 5G-Based Underwater Networks;Electronics;2024-01-23

2. Artificial Intelligence and User Experience in reciprocity: Contributions and state of the art;Intelligent Decision Technologies;2023-04-20

3. Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT and Reinforcement Learning;IEEE Internet of Things Journal;2023