GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning

Researchers developed Graph-Augmented Tree Search, a planning framework that combines UCB1-based tree search with a layered world model to reduce computational costs by eliminating LLM calls during inference.

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