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News/AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories
arxiv
PublishedSeptember 10, 2026 at 4:00 AM
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AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories

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arXiv:2609.05837v1 Announce Type: new Abstract: LLM-based agents are increasingly deployed in real-world applications through tool-use APIs, yet training them for specific environments remains fundamentally difficult: real-world applications provide no pre-defined tasks or verifiers, no faithful sim

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