Fundamentals of Reinforcement Learning

Artificial intelligence (AI) applications, particularly reinforcement learning, are transforming our lives by outperforming human competitors in strategy games, creative compositing, and autonomous movement. This book provides an introduction to AI, machine learning techniques, and reinforcement learning, aimed at students and professors seeking to advance technological advances and address academic and industrial challenges.

Format: Hardback
Length: 88 pages
Publication date: 15 August 2023
Publisher: Springer International Publishing AG

Artificial intelligence (AI) applications have revolutionized our lives, with reinforcement learning playing a pivotal role in this technological advancement. This technique surpasses human capabilities in strategy games, creative composition, and autonomous movement, marking a significant transformation in our civilization.

This comprehensive book serves as an introduction to AI, delving into machine learning techniques and exploring various aspects of reinforcement learning. It is designed to cater to students eager to contribute to technological advancements and professors engaged in developing innovative applications. By understanding the fundamentals of reinforcement learning, readers will gain a deep understanding of essential AI concepts, acquire professional experience, interpret sequential decision problems, and apply reinforcement learning to solve them effectively.

The book includes detailed explanations, accompanied by practical examples and Python code, to facilitate a hands-on learning experience. It covers key concepts such as Q-Learning, policy iteration, and value iteration, guiding readers through the practical implementation of reinforcement learning algorithms. Additionally, the book identifies advantageous directions for future research and applications in the field of AI.

Whether you are a student seeking to expand your knowledge in AI or a professor looking to incorporate cutting-edge techniques into your teaching, this book is an invaluable resource. It will empower you to navigate the world of reinforcement learning and contribute to the ongoing development of this transformative technology.

Weight: 302g
Dimension: 158 x 243 x 13 (mm)
ISBN-13: 9783031373442
Edition number: 1st ed. 2023