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D. Attota

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Conference Open access 2026

AgentSearch: Learning Efficient Agentic Workflows via Deliver Tree Search

This work introduces AgentSearch, a cost-aware Monte Carlo Tree Search (MCTS) framework that constructs agentic workflows through deliberative lookahead search and attains single-episode success while reducing computational costs by up to 47%, thereby eliminating the trial-and-error exploration required by previous adaptive methods.

D. Attota, Ying Xie · Proceedings of the 15th Inte... · 0 citations