STRUCTUREDAGENT
First page
Paper summary
STRUCTUREDAGENT introduces a hierarchical planning framework for long-horizon web tasks using dynamic AND/OR trees. The framework separates planning responsibilities: the system constructs and maintains the planning tree while the LLM is invoked only for local operations like node expansion or repair. A structured memory module tracks candidate solutions to improve constraint satisfaction. Results on WebVoyager, WebArena, and custom shopping benchmarks show improved performance over standard LLM-based web agents, with the added benefit of interpretable hierarchical plans that enable easier debugging and human intervention.