*Edited by Jucheng Yang, Yarui Chen, Tingting Zhao, Yuan Wang and Xuran Pan*

Deep learning and reinforcement learning are some of the most important and exciting research fields today. With the emergence of new network structures and algorithms such as convolutional neural networks, recurrent neural networks, and self-attention models, these technologies have gained widespread attention and applications in fields such as natural language processing, medical image analysis, and Internet of Things (IoT) device recognition. This book, *Deep Learning and Reinforcement Learning* examines the latest research achievements of these technologies and provides a reference for researchers, engineers, students, and other interested readers. It helps readers understand the opportunities and challenges faced by deep learning and reinforcement learning and how to address them, thus improving the research and application capabilities of these technologies in related fields.

*Andries Engelbrecht, Artificial Intelligence Series Editor*

ISBN 978-1-80356-950-5

Deep Learning and Reinforcement Learning

ISSN 2633-1403

Published in London, UK © 2023 IntechOpen © your\_photo / iStock

IntechOpen Series Artificial Intelligence, Volume 18
