arXiv CS AI
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AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectoriestranslating…
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…
Keywords#Real-World#Tool-Use#Agent#Agent Learning#AgentBrew