Reinforcement Learning for Maritime Communications
Year: 2023 Language: English Author: Liang Xiao Genre: Technical book ISBN: 978-3-031-32137-5, 978-3-031-32138-2 Format: PDF Quality: eBook Pages count: 155 Description: The purpose of Springer’s Wireless Networks book series is to establish the state of the art and set the course for future research and development in wireless communication networks. The scope of this series includes not only all aspects of wireless networks (including cellular networks, WiFi, sensor networks, and vehicular networks), but related areas such as cloud computing and big data. The series serves as a central source of references for wireless networks research and development. It aims to publish thorough and cohesive overviews on specific topics in wireless networks, as well as works that are larger in scope than survey articles and that contain more detailed background information. The series also provides coverage of advanced and timely topics worthy of monographs, contributed volumes, textbooks and handbooks
Contents
Screenshots
5
Reinforcement Learning for Maritime Communications 2023.pdf
Вы не можете начинать темы Вы не можете отвечать на сообщения Вы не можете редактировать свои сообщения Вы не можете удалять свои сообщения Вы не можете голосовать в опросах Вы не можете прикреплять файлы к сообщениям Вы не можете скачивать файлы
Reinforcement Learning for Maritime Communications
Language: English
Author: Liang Xiao
Genre: Technical book
ISBN: 978-3-031-32137-5, 978-3-031-32138-2
Format: PDF
Quality: eBook
Pages count: 155
Description: The purpose of Springer’s Wireless Networks book series is to establish the state
of the art and set the course for future research and development in wireless
communication networks. The scope of this series includes not only all aspects
of wireless networks (including cellular networks, WiFi, sensor networks, and
vehicular networks), but related areas such as cloud computing and big data.
The series serves as a central source of references for wireless networks research
and development. It aims to publish thorough and cohesive overviews on specific
topics in wireless networks, as well as works that are larger in scope than survey
articles and that contain more detailed background information. The series also
provides coverage of advanced and timely topics worthy of monographs, contributed
volumes, textbooks and handbooks
Contents
Screenshots
Reinforcement Learning for Maritime Communications 2023.pdf
Скачать [9 KB]
Поделиться