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HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

AI & ML·2 min read·via ArXivOriginal source →

HiMAP-Travel: Hierarchical Multi-Agent Planning for Long-Horizon Constrained Travel

arXiv:2603.04750v1 Announce Type: new Abstract: Sequential LLM agents fail on long-horizon planning with hard constraints like budgets and diversity requirements. As planning progresses and context grows, these agents drift from global constraints. We propose HiMAP-Travel, a hierarchical multi-agent framework that splits planning into strategic coordination and parallel day-level execution. A Coordinator allocates resources across days, while Day Executors plan independently in parallel. Three

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