Reinforcement Learning Explained - Couverture rigide

Hellgren, Jonas; Lindgren, Johannes

Couverture rigide

ISBN 10 : 1041062265 ISBN 13 : 9781041062264

Editeur : CRC Press, 2026

Synopsis

Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals. After decades of research, RL has matured into a powerful technology driving real-world innovation; it is now used in areas such as robotics, energy systems, finance, and autonomous vehicles.

Yet, for many, RL feels inaccessible, buried under dense mathematics and complex theory. This book changes that. It is designed to help newcomers start applying RL as quickly as possible through a classical pedagogical approach: many small, focused examples that build intuition and practical skill step by step.

Featuring:

• Essential concepts explained from the ground up

• Code-based examples that reveal how algorithms work in practice

• Worked examples by hand to strengthen intuition, just like in engineering or mathematics

• Language-agnostic guidance, easily followed using Python, Java, or C++

Even readers without coding or university-level mathematics backgrounds will gain valuable insight into the fascinating world of RL - insight that may become a critical differentiator in the age of AI. Whether you are a student or professional, Reinforcement Learning Explained will give you the tools and confidence to explore one of AI’s most exciting frontiers.

A propos du livre

À propos de l'auteur

Jonas Hellgren is a researcher specializing in reinforcement learning, optimization, and electrified vehicle systems. With experience across academia and industry spanning patents, publications, and thesis supervision, he brings both practical insight and theoretical depth. This book reflects his commitment to making complex ideas accessible.

Johannes Lindgren is a technical consultant specializing in software development, verification, and commissioning across rail, automotive, and maritime applications. Currently at Combine, developing software for the rail sector. Previous roles include simulation and verification at Volvo Autonomous Solutions and system commissioning at Lean Marine, along with research in image segmentation at CPAC Systems.

À propos de la quatrième de couverture

Reinforcement Learning (RL) is a branch of Artificial Intelligence (AI) that teaches agents to learn optimal behavior through interaction, feedback, and long-term goals.

Détails de l'édition

• Éditeur: CRC Press
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 1041062265
• ISBN 13: 9781041062264
• Reliure: Relié
• Nombre de pages: 432
• Coordonnées du fabricant: Van Ditmar Boeken, VDB Sales; sales@vanditmar.nl; ; Hondiuslaan 44; Utrecht; 3528 AB; Pays-Bas