Weasel is a trajectory selection method that optimizes importance-diversity for offline web-agent training, improving out-of-domain generalization and delivering 9.7-12.5x speedups on AgentTrek, NNetNav, WebArena, WorkArena, and MiniWob with Qwen and Gemma models.
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Weasel: Out-of-Domain Generalization for Web Agents via Importance-Diversity Data Selection
Weasel is a trajectory selection method that optimizes importance-diversity for offline web-agent training, improving out-of-domain generalization and delivering 9.7-12.5x speedups on AgentTrek, NNetNav, WebArena, WorkArena, and MiniWob with Qwen and Gemma models.