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StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents

51 upvotes · 24 JUL 2026 · Yan Yang, Xiangru Jian, Ziyang Luo et al.

This paper introduces a new approach to training computer-use agents by directly interacting with the underlying program state, rather than relying on visual perception. By doing so, agents can reason more effectively and make fewer mistakes, which can lead to significant improvements in performance.

code-firstmulti-agentstate-groundingcomputer-use agentsOSWorld