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A technical and research-focused work on the design of agentic AI systems, integrating multi-agent systems, reinforcement learning, and large language models. The book explores architectural frameworks for building autonomous decision-making systems, with emphasis on coordination, learning, and scalable intelligent system design.

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245: $a: Architectures for Agentic AI: Integrating Multi-Agent Systems, Reinforcement Learning, and LLMs for Autonomous Decision-Making
245: $b:
082: $a:
100: $a: Pedro Oliveira & João da Cruz Pereira & Paulo Novais
650: $a: Information Technology
250: $a: 1st
440: $v:
250: $b: Springer International Publishing AG
250: $c: 2026
020: $a: 9783032247803
300: $a: 220