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@omarsar0

Planning for Long-Horizon Web Tasks Really solid work on making web agents better at complex, long-horizon tasks. STRUCTUREDAGENT introduces a hierarchical planning framework using dynamic AND/OR trees for efficient search and a structured memory module for tracking candidate solutions across browsing steps. It produces interpretable hierarchical plans that make debugging and human intervention easier. Current web agents struggle with multi-step tasks because they act greedily and lose track of alternatives. STRUCTUREDAGENT achieves 46.7% on complex shopping tasks, outperforming all baselines, by giving agents the ability to backtrack, revise, and maintain structured state. Paper: https://t.co/3UOqz5TvYW Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

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