An Agent-Based Architecture Using Deep Reinforcement Learning for the Intelligent Internet of Things Applications-Reference-Cited by-同舟云学术

An Agent-Based Architecture Using Deep Reinforcement Learning for the Intelligent Internet of Things Applications

Published:2020-10-20 Issue: Volume: Page:273-283
ISSN:2194-5357
Container-title:Advances on Smart and Soft Computing
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Author:

Noureddine Dhouha Ben,Krichen Moez,Mechti Seifeddine,Nahhal Tarik,Adoni Wilfried Yves Hamilton

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-6048-4_24

Reference18 articles.

1. Leong, P., Lu, L.: Multiagent web for the Internet of Things. In: Proceedings of the International Conference on Information Science and Applications, pp. 271–350 (2014)

2. Mzahm, A.M., Ahmad, M.S., Tang, A.Y.C.: Towards a design model for things in agents of things. In: Proceedings of the International Conference on Internet of Things and Cloud Computing, pp. 3–7 (2016)

3. Savaglio, C.,Fortino, G., Ganzha, M., Paprzycki, M., Bădică, C., Ivanović, M.: Agent-based computing in the Internet of Things: a survey. In: Intelligent Distributed Computing XI, pp. 302–307 (2017)

4. Hussain, F., Hussain, R., Hassan, S.A., Hossain, E.: Machine learning in IoT security: Current solutions and future challenges. arxiv:1904.0573v1 (2019).

5. Fortino, G.: Agents meet the IoT: toward ecosystems of networked smart objects. IEEE Syst. Man Cybernet. Mag. 2(2), 43–47 (2016)

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