9798196756610 - multi agent reinforcement learning handbook: a comprehensive guide to mastery multi-agent systems with python, pytorch, deep reinforcement learning and collaborative ai: 4 di tech, sammy (5 risultati)
Lingua: Inglese
Editore: Independently Published, 2026
Serie: Libro 4 di 12 - Programming AI & Development Handbook Collection
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published, 2026
Serie: Libro 4 di 12 - Programming AI & Development Handbook Collection
- Brossura
Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 3,83 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Independently Published Mai 2026, 2026
Serie: Libro 4 di 12 - Programming AI & Development Handbook Collection
- Brossura
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - The Final Frontier of AI is Collaborative.The era of isolated AI is over. From autonomous warehouse swarms and smart energy grids to decentralized finance and cooperative robotics, the future belongs to systems that can communicate, coordinate, and compete. But scaling reinforcement learni…ng from a single agent to a collective of intelligent actors introduces a chaotic new world of non-stationarity and coordination failure.The Multi-Agent Reinforcement Learning Handbook is your definitive blueprint for navigating this complexity.Written for senior AI engineers, researchers, and data scientists, this handbook cuts through the academic noise to provide a hands-on, implementation-first guide to MARL. You won't just learn the theory; you will master the architectures-like QMIX, MAPPO, and Multi-Agent Transformers-that allow agents to thrive in decentralized environments.What You Will Master: - The Fundamentals of Cooperation: Master the Dec-POMDP framework and learn how to solve the 'Moving Target' problem in non-stationary environments.- Value Factorization & Credit Assignment: Deep dive into VDN and QMIX to understand how individual agent contributions are distilled from a collective team reward.- Policy Optimization at Scale: Implement state-of-the-art algorithms like MAPPO and explore the cutting-edge Multi-Agent Transformer (MAT).- Emergent Communication: Learn how agents 'invent' their own languages and protocols to solve tasks through differentiable communication channels.- Offline MARL & Safety: Discover how to train collaborative agents from static datasets using Conservative Q-Learning (CQL) and ensure human-AI alignment.- The Transformers & Diffusion Frontier: Explore the 2026 vanguard, including trajectory stitching with Diffusion models and the role of LLMs in agent reasoning.Why This Book In just 137 concise, high-impact pages, Sammy Tech distills years of research and industrial application into a focused mastery guide. Leveraging the power of Python and PyTorch 2.x, this handbook provides the code-heavy, logic-driven approach necessary to build production-ready collaborative AI.Whether you are building the next generation of autonomous traffic control or designing complex ad-hoc teamwork protocols, this book is your essential companion on the road to MARL mastery.Architect the future of collective intelligence. Order your copy today.
Lingua: Inglese
Editore: Independently published, 2026
Serie: Libro 4 di 12 - Programming AI & Development Handbook Collection
- Brossura
- Print on Demand
Da: California Books, Miami, FL, U.S.A.California Books
Contatta il venditoreVenditore con 4 stelleCondizione: Nuovo
EUR 21,18
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Condizione: New. Print on Demand.
Lingua: Inglese
Editore: Independently Published, 2026
Serie: Libro 4 di 12 - Programming AI & Development Handbook Collection
- Brossura
- Print on Demand
Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 25,19
EUR 43,10 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. The Final Frontier of AI is Collaborative.The era of isolated AI is over. From autonomous warehouse swarms and smart energy grids to decentralized finance and cooperative robotics, the future belongs to systems that can communicate, coordinate, and compete. But scaling reinforcement learnin…g from a single agent to a collective of intelligent actors introduces a chaotic new world of non-stationarity and coordination failure.The Multi-Agent Reinforcement Learning Handbook is your definitive blueprint for navigating this complexity.Written for senior AI engineers, researchers, and data scientists, this handbook cuts through the academic noise to provide a hands-on, implementation-first guide to MARL. You won't just learn the theory; you will master the architectures-like QMIX, MAPPO, and Multi-Agent Transformers-that allow agents to thrive in decentralized environments.What You Will Master: The Fundamentals of Cooperation: Master the Dec-POMDP framework and learn how to solve the "Moving Target" problem in non-stationary environments.Value Factorization & Credit Assignment: Deep dive into VDN and QMIX to understand how individual agent contributions are distilled from a collective team reward.Policy Optimization at Scale: Implement state-of-the-art algorithms like MAPPO and explore the cutting-edge Multi-Agent Transformer (MAT).Emergent Communication: Learn how agents "invent" their own languages and protocols to solve tasks through differentiable communication channels.Offline MARL & Safety: Discover how to train collaborative agents from static datasets using Conservative Q-Learning (CQL) and ensure human-AI alignment.The Transformers & Diffusion Frontier: Explore the 2026 vanguard, including trajectory stitching with Diffusion models and the role of LLMs in agent reasoning.Why This Book?In just 137 concise, high-impact pages, Sammy Tech distills years of research and industrial application into a focused mastery guide. Leveraging the power of Python and PyTorch 2.x, this handbook provides the code-heavy, logic-driven approach necessary to build production-ready collaborative AI.Whether you are building the next generation of autonomous traffic control or designing complex ad-hoc teamwork protocols, this book is your essential companion on the road to MARL mastery.Architect the future of collective intelligence. Order your copy today. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
