AI RESEARCH

ExpSeek: Self-Triggered Experience Seeking for Web Agents

arXiv CS.AI

ArXi:2601.08605v2 Announce Type: replace-cross Experience intervention in web agents emerges as a promising technical paradigm, enhancing agent interaction capabilities by providing valuable insights from accumulated experiences. However, existing methods predominantly inject experience passively as global context before task execution, struggling to adapt to dynamically changing contextual observations during agent-environment interaction.