Description
Reinforcement Learning: Industrial Applications of Intelligent Agents by Dr. Phil Winder is a detailed exploration of reinforcement learning (RL) tailored for industrial applications. The book serves as a comprehensive guide for engineers and professionals looking to implement RL in real-world scenarios. With over 350 pages, it provides a thorough understanding of RL algorithms, offering insights into their practical applications.
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The book is structured to help readers progress from fundamental concepts to advanced techniques. It covers all major types of RL algorithms, providing a solid foundation for those new to the field. Dr. Winder's experience as an industrial engineer is evident in the practical advice and real-world examples included throughout the text.
Readers will find the book packed with industrial use cases, each accompanied by code examples to facilitate learning and application. The book emphasizes simplicity and clarity, making complex models accessible and understandable. It also includes intuitive experiments to demonstrate the principles of RL, helping readers grasp the how and why of various techniques.
Dr. Phil Winder, the author, is the CEO of Winder.AI, a data science consultancy based in the UK. His expertise in data-driven software products and cloud-native development informs the book's content, ensuring it is both relevant and practical for today's engineers. The book is available in multiple formats, including a new edition in Chinese, broadening its accessibility to a global audience.
- CategoryEducation & Research
Book Details
Comprehensive guide to reinforcement learning
Covers all major RL algorithms
Includes real-world industrial use cases
Accompanied by code examples
Written by Dr. Phil Winder, CEO of Winder.AI
Over 350 pages of content
Simple and concise language
New edition available in Chinese
Who This Book Is For
- Industrial Automation
- Algorithm Development
- Data Science
- Engineering Solutions
- Training Programs
