Discover the Secrets of Artificial Intelligence with Reinforcement Learning!

Reinforcement Learning is one of the most dynamic and up-to-date areas of research in artificial intelligence. If you want to understand how machines teach themselves based on experience and rewards, this expanded and updated book will provide you with comprehensive and the latest insights.

This new edition offers a deep look into the principles and algorithms of reinforcement learning, which form the foundation for autonomous systems, robotics, and advanced machine learning applications. Thanks to a careful expansion of the content, it reflects the latest trends and develops knowledge not only for students but also for professionals and AI enthusiasts.

Reinforcement Learning is an essential resource for anyone who wants to understand how learning agents operate in various environments and how these principles can be effectively applied in practice.

Main advantages of the book:

• Updated and expanded content covering the latest developments in the field of reinforcement learning.
• Practice-based exposition with an emphasis on real applications and algorithms.
• Suitable for students and professionals who want to broaden their knowledge of artificial intelligence.
• Supports understanding of complex concepts through clear explanations and examples.
• A tool for developing technical skills in machine learning and autonomous systems.

What the book offers:

• A comprehensive overview of the theory and algorithms of reinforcement learning.
• Detailed descriptions of methods and techniques used in current research.
• Practical examples and case studies for better understanding.
• Access to resources for further study and development.
• Expanded content reflecting current trends and innovations in AI.