MARL for Next-Generation AI: Harnessing Multi-Agent Reinforcement Learning to Build Smarter, Autonomous AI Systems - Couverture souple

Acklin, James

Couverture souple

ISBN 13 : 9798311173230

Editeur : Independently published, 2025

Synopsis

Artificial Intelligence is no longer about isolated systems solving problems alone—it’s about intelligent agents working together to achieve complex goals. Multi-Agent Reinforcement Learning (MARL) is at the forefront of this transformation, enabling AI-driven collaboration, coordination, and competition across industries.

This book is a comprehensive, practical, and forward-thinking guide to MARL, designed for AI researchers, engineers, and practitioners who want to master the techniques that drive modern multi-agent systems. Covering both fundamental principles and advanced applications, this book provides an in-depth exploration of:

• Key MARL Algorithms – From Q-learning to actor-critic models, understand how agents learn in dynamic environments.
• Communication & Coordination Strategies – Learn how agents interact using graph neural networks (GNNs) and centralized training with decentralized execution (CTDE).
• Scalability & Stability Solutions – Address the curse of dimensionality, reward shaping, and meta-learning for large-scale systems.
• Exploration Techniques – Harness intrinsic motivation, curiosity-driven learning, and risk-reward balancing in multi-agent settings.
• Real-World Applications – Discover how MARL powers swarm robotics, self-driving cars, smart grids, and algorithmic trading.
• Ethical Considerations & Future Trends – Navigate the challenges of AI trust, fairness, and interpretability in competitive agent environments.

With detailed explanations, real-world examples, and practical code implementations, this book is both an essential reference and a hands-on guide to building and deploying MARL solutions. Whether you're a beginner eager to learn or an expert looking to refine your skills, this book equips you with everything you need to excel in multi-agent AI.

Don’t get left behind—master Multi-Agent Reinforcement Learning today and be part of the AI revolution shaping the future. Get your copy now!

Détails de l'édition

• Éditeur: Independently published
• Date d'édition: 2025
• Langue: anglais
• ISBN 13: 9798311173230
• Reliure: Broché
• Nombre de pages: 198
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible