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News/GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning
arxiv
PublishedJuly 13, 2026 at 4:00 AM
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GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning

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arXiv:2607.08894v1 Announce Type: new Abstract: Large Language Model (LLM) agents have shown promise in multi-step planning tasks, but existing approaches like LATS (Language Agent Tree Search) and ReAct rely heavily on LLM inference during planning, leading to high computational costs and stochasti

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