Discover the principles of machine learning with Reinforcement Learning

Reinforcement Learning is an important field of artificial intelligence focused on creating agents that learn from interaction with their environment and gradually improve their decisions based on feedback. If you want to become familiar with modern algorithms used, for example, in robotics, games, or autonomous systems, this book can serve as a useful guide to the topic.

Reinforcement Learning presents the principles of learning through rewards and “penalties” and explains how programs can improve their performance without explicit instructions for every step. The book is suitable for readers interested in artificial intelligence; some sections may require a basic understanding of programming and mathematical concepts.

You will encounter both theory and examples that can help when applying selected methods in your own projects. The publication is intended to expand knowledge in the rapidly evolving field of artificial intelligence.

Main benefits of the book Reinforcement Learning:

• Introduction to the principles of reinforcement learning and selected applications.
• Examples and an overview of algorithms usable as inspiration for your own implementations.
• Suitable for various levels - from readers new to the topic to more advanced enthusiasts.
• Inspiration for developing your own AI systems and projects.
• Support for understanding complex concepts through structured explanations.

General product features:

• A book focused on artificial intelligence and machine learning.
• Description of methods, principles, and techniques of reinforcement learning.
• Examples of use in various areas, such as robotics, automatic control, and games.
• Includes theoretical foundations as well as practically oriented insights.
• Format suitable for study as well as a reference material.