Closed-loop development improves mobile agents across planning and tool use

The authors connect agent-generated data, reinforcement learning, and runtime feedback to jointly improve a mobile planning model and its execution harness.

Independent
Tingyu Qu · Weigao Sun · Yuecheng Liu · Yucheng Zhao · Yi Zhu · Yifeng Ding · +20 more
Research Digest··2 min read
Qu et al.

The authors built a closed-loop development framework around a shared action–feedback–verification contract.

Why this paper

Independent · Part of Agent Harness Optimization, now 61 papers

In one line

Qwen-Planner-Agent achieves the best overall performance on MobilePA-Bench through a closed-loop AI-for-AI framework.

What we could check

  • ·No code link found
  • ·No weights link found
  • ·No dataset link found
  • ·No compute details found
  • ·No stated limitations found
  • ·No benchmark numbers found

Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.

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