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Probe-and-Resume: When and How to Evaluate Agent Execution

Xu, Jiakai et al.
arXiv (All) · Papers
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artificial-intelligencemachine-learning
Test-time search can improve agent performance by exploring alternative actions and using a critic to select promising branches. We study this approach in terminal-based computer-use environments, which expose only a partial view of a large underlying state, and find that the Monte Carlo tree search
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