Taschenbuch. Zustand: Neu. Neuware.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: 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.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: 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.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware - Master Perplexity AI in 2026 - From Complete Beginner to Confident Power UserPerplexity AI has revolutionized how we search, research, and work with information. Unlike traditional search engines or chatbots that often hallucinate, Perplexity delivers fast, accurate, real-time answers with transparent citations you can trust.Perplexity AI Guide for Beginners is the most practical, up-to-date handbook available. Whether you're a student, professional, researcher, entrepreneur, or simply someone who wants to work smarter, this step-by-step guide will take you from your very first search to confidently using advanced features like Deep Research, file analysis, Pages, Spaces, and Perplexity Computer.What You'll Learn Inside: - How Perplexity's answer engine works and why it hallucinates far less than ChatGPT or Gemini- Writing powerful prompts that consistently deliver high-quality, cited results- Mastering Pro Search and Deep Research for complex topics and comprehensive reports- Uploading and analyzing PDFs, CSVs, images, and documents- Organizing your research with Spaces and building a personal knowledge base- Turning threads into beautiful, professional Pages for reports, essays, blogs, and presentations- Using Perplexity Computer - the autonomous AI agent - to automate multi-step workflows- Real-world productivity workflows for students, professionals, entrepreneurs, and content creatorsPacked with clear explanations, step-by-step instructions, practical examples, prompt templates, and hands-on exercises, this book makes mastering Perplexity AI simple and enjoyable - even if you've never used any AI tool before.Perfect For: - Students writing essays, preparing for exams, or conducting research- Professionals doing market research, competitor analysis, or report writing- Entrepreneurs validating ideas and building business plans- Content creators researching topics and generating high-quality drafts- Anyone who wants to save hours every week through smarter AI-powered research2026 Edition - Fully updated with the latest features including Perplexity Computer, enhanced Deep Research, Model Council, Custom Skills, and more.Stop wasting time switching between tabs and tools. Learn how to harness the full power of Perplexity AI and transform the way you search, learn, and work.Take the first step toward AI-powered productivity today.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware - Inside, you will discover how to:
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Createspace Independent Publishing Platform Jun 2026, 2026
ISBN 13: 9798181449596
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware.