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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