Deep Reinforcement Learning Perspectives on Improving Reliable Transmissions in IoT Networks: Problem Formulation, Parameter Choices, Challenges, and Future Directions-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Perspectives on Improving Reliable Transmissions in IoT Networks: Problem Formulation, Parameter Choices, Challenges, and Future Directions

Published:2023-10 Issue: Volume:23 Page:100846
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Alipio Melchizedek^ORCID,Bures Miroslav

Funder

De La Salle University

Department of Science and Technology, Ministry of Science and Technology, India

Institute of Education Sciences

Office of the Provost, University of South Carolina

Science Education Institute, Department of Science and Technology, Republic of the Philippines

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

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4. Information fusion on delivery: A survey on the roles of mobile edge caching systems;Nguyen;Inf. Fusion,2023

5. A hybrid caching strategy for information-centric satellite networks based on node classification and popular content awareness;Xu;Comput. Commun.,2023

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