Mastering AI Agents
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Mastering AI Agents: From Theory to Practice in Autonomous Systems, Reinforcement Learning, and Human-Agent Interaction

Mastering AI Agents: From Theory to Practice in Autonomous Systems, Reinforcement Learning, and Human-Agent Interaction


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About the Book

Have you ever wondered what it truly takes to build an intelligent system that thinks, learns, and acts on its own? Are you curious about how AI agents are not just software but autonomous entities capable of making decisions, adapting to dynamic environments, and even collaborating with humans? What separates a basic AI model from a fully functional, goal-driven agent?Imagine designing an agent that can navigate real-world complexity, understand context, and evolve its behavior over time. Can you picture AI agents coordinating in swarms, optimizing processes, or assisting in critical decisions across industries? Have you considered how these agents learn from experience, handle uncertainty, and even model human-like reasoning and emotions? This book dives deep into the core principles of AI agency, exploring everything from theoretical foundations to hands-on implementation. How do you define goals, represent knowledge, and structure an agent's decision-making processes? Are you ready to explore reinforcement learning, cognitive architectures, and multi-agent systems in practical, real-world scenarios? Have you thought about how AI agents interact naturally with humans, learn from feedback, and enhance user experience in business, education, healthcare, and beyond? How do you ensure your agents are ethical, explainable, secure, and trustworthy while still performing at peak efficiency? What are the tools, frameworks, and deployment strategies that will transform your ideas into autonomous agents capable of operating across cloud, edge, and hybrid systems? Can you imagine the future possibilities where AI agents collaborate globally, integrate with digital twins, and even shape new forms of collective intelligence? Are you prepared to step into a world where autonomous systems don't just follow instructions-they think, adapt, and evolve? Mastering AI Agents: From Theory to Practice in Autonomous Systems, Reinforcement Learning, and Human-Agent Interaction by Lucy C. Sera is your comprehensive guide to all of this and more. With clear explanations, practical insights, and cutting-edge research, this book will equip you with the knowledge to design, implement, and deploy intelligent agents that can truly transform the way we interact with technology. Are you ready to take control of the future of AI and master the art of intelligent agents? Dive in now and unlock the full potential of autonomous systems today.


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Product Details
  • ISBN-13: 9798271489266
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 170
  • Returnable: N
  • Sub Title: From Theory to Practice in Autonomous Systems, Reinforcement Learning, and Human-Agent Interaction
  • Width: 216 mm
  • ISBN-10: 8271489267
  • Publisher Date: 25 Oct 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 462 gr


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