AI Agent In Action
Basic Information
This repository is a comprehensive Chinese-language practical guide and textbook for developing AI agents, titled AI Agent In Action. It collects chapter-by-chapter markdown content that walks readers from fundamental definitions and theory through core technologies to hands-on development and deployment. The material covers machine learning basics, deep learning, reinforcement learning, NLP, computer vision, decision and planning, agent architectures, environment construction, simulation platforms and multi-agent systems. It also includes focused application chapters such as conversational agents, game AI, robotics, recommender systems and autonomous driving, plus advanced topics on explainable AI, ethics and governance. The repo is authored by 陈光剑 and published by AI Genius Institute. It is organized as a learning resource with practical case studies, conceptual explanations and appendices for math, tools and references. The content is intended to guide both newcomers and experienced practitioners through end-to-end AI agent development workflows.
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