AI RESEARCH
EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration
arXiv CS.AI
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ArXi:2512.19396v2 Announce Type: replace Contemporary GUI agents, while increasingly capable due to advances in Large Vision-Language Models (VLMs), often operate with a critical limitation: they treat each task in isolation, lacking a mechanism to systematically learn from past successes. This digital ''amnesia'' results in sub-optimal performance, repeated errors, and poor generalization to novel challenges. To bridge this gap, we