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Architectures for Agentic AI

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Architectures for Agentic AI:
Integrating Multi-Agent Systems, Reinforcement Learning, and LLMs for Autonomous Decision-Making

English | 2026 | ISBN: 3032247802 | 105 Pages | PDF EPUB (True) | 7 MB​

This book explores the emerging paradigm of Agentic AI, where Large Language Models (LLMs) and Reinforcement Learning (RL) converge to create intelligent, autonomous, and adaptive systems. It provides a unified theoretical foundation and connects it to practical implementation, offering readers a clear path from concept to execution. It will also provide an integrative approach of Agentic AI, Large Language Models, and Reinforcement Learning. While these topics are often studied separately, this book provides a coherentframework that unites them, filling a critical gap between AI theory, system design, and real-world application.

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