AI RESEARCH
CRAFT-GUI: Curriculum-Reinforced Agent For GUI Tasks
arXiv CS.AI
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ArXi:2508.11360v2 Announce Type: replace As autonomous agents become adept at understanding and interacting with graphical user interface (GUI) environments, a new era of automated task execution is emerging. Recent studies have nstrated that Reinforcement Learning (RL) can effectively enhance agents' performance in dynamic interactive GUI environments. However, these methods face two key limitations: (1) they overlook the significant variation in difficulty across different GUI tasks by treating the entire