Deep Reinforcement Learning for Wireless Networks

Deep Reinforcement Learning for Wireless Networks
Author :
Publisher : Springer
Total Pages : 78
Release :
ISBN-10 : 9783030105464
ISBN-13 : 3030105466
Rating : 4/5 (466 Downloads)

Book Synopsis Deep Reinforcement Learning for Wireless Networks by : F. Richard Yu

Download or read book Deep Reinforcement Learning for Wireless Networks written by F. Richard Yu and published by Springer. This book was released on 2019-01-17 with total page 78 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning approach is used in cache-enabled opportunistic interference alignment wireless networks and mobile social networks. Simulation results with different network parameters are presented to show the effectiveness of the proposed scheme. There is a phenomenal burst of research activities in artificial intelligence, deep reinforcement learning and wireless systems. Deep reinforcement learning has been successfully used to solve many practical problems. For example, Google DeepMind adopts this method on several artificial intelligent projects with big data (e.g., AlphaGo), and gets quite good results.. Graduate students in electrical and computer engineering, as well as computer science will find this brief useful as a study guide. Researchers, engineers, computer scientists, programmers, and policy makers will also find this brief to be a useful tool.


Deep Reinforcement Learning for Wireless Networks Related Books

Deep Reinforcement Learning for Wireless Networks
Language: en
Pages: 78
Authors: F. Richard Yu
Categories: Technology & Engineering
Type: BOOK - Published: 2019-01-17 - Publisher: Springer

DOWNLOAD EBOOK

This Springerbrief presents a deep reinforcement learning approach to wireless systems to improve system performance. Particularly, deep reinforcement learning
Machine Learning and Wireless Communications
Language: en
Pages: 560
Authors: Yonina C. Eldar
Categories: Technology & Engineering
Type: BOOK - Published: 2022-06-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applicat
Machine Learning and Cognitive Computing for Mobile Communications and Wireless Networks
Language: en
Pages: 272
Authors: Krishna Kant Singh
Categories: Computers
Type: BOOK - Published: 2020-07-08 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. The
Machine Learning for Future Wireless Communications
Language: en
Pages: 490
Authors: Fa-Long Luo
Categories: Technology & Engineering
Type: BOOK - Published: 2020-02-10 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for
Deep Reinforcement Learning for Wireless Communications and Networking
Language: en
Pages: 293
Authors: Dinh Thai Hoang
Categories: Technology & Engineering
Type: BOOK - Published: 2023-08-01 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Deep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communica