AI RESEARCH
AI Planning Framework for LLM-Based Web Agents
arXiv CS.AI
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ArXi:2603.12710v1 Announce Type: new Developing autonomous agents for web-based tasks is a core challenge in AI. While Large Language Model (LLM) agents can interpret complex user requests, they often operate as black boxes, making it difficult to diagnose why they fail or how they plan. This paper addresses this gap by formally treating web tasks as sequential decision-making processes. We