Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation

by Dinh Thai Hoang

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Deep Reinforcement Learning for Wireless Communications and Networking

Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems

Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together...

Format:Hardcover

Language:English

ISBN:1119873673

ISBN13:9781119873679

Release Date:July 2023

Publisher:Wiley-IEEE Press

Length:288 Pages

Weight:1.22 lbs.

Dimensions:0.7" x 6.0" x 9.0"

Related Subjects

Computers Computers & Technology Engineering Technology

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Deep Reinforcement Learning for Wireless Communications and Networking: Theory, Applications and Implementation

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