ARPO: Revolutionizing GUI Agent Performance with Advanced Policy Optimization

ARPO: End-to-End Policy Optimization for GUI Agents In the modern digital era, human-computer interaction methods are continuously evolving, and GUI (Graphical User Interface) agent technology has emerged as a crucial field for enhancing computer operation efficiency. This blog post delves into a novel method called ARPO (Agentic Replay Policy Optimization), which is designed for vision-language-based GUI agents. It aims to tackle the challenge of optimizing performance in complex, long-horizon computer tasks, ushering in a new era for GUI agent development. The Evolution of GUI Agent Technology Early GUI agents relied primarily on supervised fine-tuning (SFT), training on large-scale trajectory datasets …