Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Architectures for Agentic AI: Integrating Multi-Agent Systems, Reinforcement Learning, and Llms for Autonomous Decision-Making

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

Oliveira, Pedro
Da Cruz Pereira, João
Novais, Paulo

Paperback

Series: Springerbriefs in Intelligent Systems

General ComputersProbability & Statistics

ISBN10: 3032247802
ISBN13: 9783032247803
Publisher: Springer
Published: May 19 2026
Pages: 94
Weight: 0.37
Height: 0.23 Width: 6.14 Depth: 9.21
Language: English
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 coherent framework that unites them, filling a critical gap between AI theory, system design, and real-world application.

Also from

Oliveira, Pedro

View All

Also in

General Computers

View All