GUI Agents Papers
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OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization

Hongliang He , Wenlin Yao , Kaixin Ma , Wenhao Yu , Hongming Zhang , Tianqing Fang , Zhenzhong Lan , Dong Yu

🏛 Institutions
ZJU , Tencent AI Lab (Seattle) , Westlake University
📅 Date
October 25, 2024
📑 Publisher
ACL 2025
💻 Env
Web
🔑 Keywords
TLDR

OpenWebVoyager is a multimodal web agent that improves itself through repeated cycles of real-world exploration, feedback collection, and policy optimization. It starts from imitation learning, mines open-web trajectories, and shows stronger performance after each optimization round.

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