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AgentBrew: Offline Tool-Use Agent Learning from Raw Real-World Trajectories
AgentBrew learns tool-use policies offline from raw real-world trajectories via retrospective task inference and PMI-based credit assignment, improving Qwen3-32B by +8.7 accuracy over larger baselines.
Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5