AI Agents in Action Author: Micheal Lanham

AI Agents in Action by Micheal Lanham is a hands-on, project-driven exploration of artificial intelligence agents and their practical application across diverse fields. Designed for developers, data scientists, and curious learners, this guide walks readers through designing, building, and deploying intelligent agents that interact with environments, learn from data, and perform autonomous tasks.

Drawing on real-world examples, Lanham demystifies AI agent frameworks using Python, Unity, and reinforcement learning concepts. Readers will experiment with crafting rule-based agents, reactive systems, and even agents powered by neural networks—all while gaining foundational insights into how agents sense, decide, and act in both digital and physical settings.

Key features include:

Clear step-by-step instructions for building AI agents from scratch

Integration of simulation platforms for realistic training environments

Coverage of reinforcement learning, behavior trees, and probabilistic models

Code samples and architecture diagrams for hands-on experimentation

Insights into deploying agents in gaming, robotics, and enterprise systems

Whether you're looking to automate processes, enhance user experiences, or explore autonomous decision-making, AI Agents in Action delivers the tools and know-how to turn concepts into functional intelligence. It's a must-have resource for anyone serious about mastering modern AI techniques through practical implementation.