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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 26,75
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 26,80
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 27,56
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,46
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : 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 learning 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.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,30
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,42
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Master the Future of AI Agents with the Model Context ProtocolThe way we build AI agents has fundamentally changed.In 2025, Anthropic introduced the Model Context Protocol (MCP) - an open standard that has quickly become the 'USB-C for AI agents.' MCP allows any language model to securely and consistently connect to tools, databases, APIs, file systems, and enterprise applications without fragile custom integrations.MCP for AI Agents with Python is the practical, production-focused guide Python developers and AI engineers have been waiting for.This book takes you far beyond basic tutorials. Through hands-on examples and real-world patterns, you will learn how to: - Build robust MCP servers using FastMCP and the official Python SDK- Create stateful, multi-turn intelligent agents that maintain context and memory- Integrate MCP seamlessly with OpenAI Agents SDK, LangGraph, Claude, CrewAI, and more- Design secure, scalable multi-agent systems where specialized agents collaborate efficiently- Deploy and orchestrate MCP agents in production using Docker, Kubernetes, and major cloud platforms- Implement enterprise-grade security, authentication, governance, and observability- Test, debug, and continuously improve production agent workflowsWhether you're an experienced AI engineer looking to adopt MCP in your organization or a Python developer ready to move beyond LangChain and traditional tool-calling, this book provides the depth and practical guidance you need.What You'll Build: - Enterprise data and API connectors (PostgreSQL, Git, Notion, Slack, Salesforce, etc.)- Sophisticated multi-agent research and analysis teams- Secure, governed agent platforms with human-in-the-loop approvals- Production-ready, auto-scaling MCP deploymentsKey Features: - Complete, production-ready code examples throughout- Clear architectural diagrams and decision frameworks- Security, scaling, and cost optimization best practices- Real-world case studies from enterprise deployments- Full companion GitHub repository with all code and deployment manifestsThe Model Context Protocol is rapidly becoming the standard for building truly capable, interoperable, and trustworthy AI agents. This book gives you the skills and confidence to lead that transformation in your projects and organization.Start building the next generation of AI agents today.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,63
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Inside, you will discover how to:
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,61
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,60
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,75
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,61
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,60
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 31,76
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware.
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
EUR 21,61
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Ajouter au panierPaperback. Etat : new. Paperback. Master the transition from manual autocomplete to fully autonomous engineering with the definitive guide to the 2026 AI-native landscape.In the last two years, the role of the software engineer has undergone a radical transformation. Writing code is no longer the bottleneck-designing the systems that generate that code is. In GitHub Copilot Handbook, veteran technologist Sammy Tech delivers a comprehensive masterclass in navigating this new era of Agentic Workflows and Multi-Model Intelligence.Whether you are a senior architect looking to scale your team's output or a developer aiming to future-proof your career, this handbook provides the blueprints for building software at the speed of thought.Inside, you will discover how to: Move Beyond Autocomplete: Transition from simple line-completion to Agentic Workflows using atworkspace and atterminal to research, plan, and execute multi-file features.Leverage Multi-Model AI: Master the "Shadow Repository" and the Model Context Protocol (MCP) to switch between GPT-5, Claude 4, and Gemini 3 based on the specific complexity of the task.Build Custom Agentic Skills: Program your own specialized agents to automate architectural reviews, security audits, and legacy code migrations from COBOL or Java 8 to modern stacks.Implement "Human-in-the-Loop" Governance: Maintain control over autonomous systems with high-level supervision patterns that prevent "Autonomous Drift" and protect intellectual property.Master the AI-Native Terminal: Turn your CLI into a natural language conversation, automating DevOps, infrastructure-as-code (IaC), and complex Git merge resolutions.The 2026 Engineering FrameworkThis isn't just a book about a tool; it's a book about a new way of thinking. You'll learn the Semantic Knowledge Graph approach to codebase memory and how to measure the real ROI of AI-assisted development through Cycle Time Reduction and Defect Density metrics.What's Included: 12 Comprehensive Chapters covering everything from basic setup to fully autonomous software agents.Appendix of 2026 Prompt Patterns: A "Cheat Sheet" for structured signaling in GPT-5 and Claude 4.LangGraph Implementation Guides: Step-by-step code for building self-healing test loops and migration agents.Enterprise Security Protocols: Strategies for catching AI-generated vulnerabilities and managing IP protection at scale.The machine is ready. The agents are waiting. The future of software is autonomous-are you ready to lead the revolution? This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : California Books, Miami, FL, Etats-Unis
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 21,71
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 21,71
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 21,71
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 21,71
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 21,71
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Ajouter au panierEtat : New. Print on Demand.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 21,71
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Ajouter au panierEtat : New. Print on Demand.