Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration 事件

Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration arXiv:2605.31365v1 Announce Type: new Abstract: Recent advances in Multimodal Large Language Models (MLLMs) have led to promising progress in web agents. However, existing web agents often rely on handcrafted execution pipelines or expensive expert trajectories, limiting their adaptability to complex, dynamic environments. To address these challenges, we propose SCALE (Self-Cognitive-Aware Learning and Exploration), whi