Open training stack scales mobile agents across apps and tools

OpenMobile-2 combines controllable app simulations, verifiable training tasks and hybrid GUI-tool interaction in a shared mobile-agent framework.

Chinese Tech
Chenyang Yan · Yingying Zhang · Kanzhi Cheng · Qiushi Sun · Zhengyuan Pan · Zheng Ma · +18 more

Nanjing University · Xi’an Jiaotong University · National University of Singapore · SenseTime · East China Normal University

Research Digest··2 min read
Yan and colleagues built an open training stack for agents that operate smartphones, including a controllable environment spanning more than 110 apps, nearly 12,000 demonstration trajectories and over 2,000 reinforcement-learning tasks.

The authors extended MobileGym with 35 functional reimplementations of commercial-style apps, including persistent internal state and cross-app workflows.

Why this paper

From SenseTime and 5 others

In one line

OpenMobile-2 builds versatile mobile agents using scalable simulated environments and hybrid GUI-tool actions.

What we could check

  • ·No code link found
  • ·No weights link found
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  • ·No stated limitations found
  • ✓Reports numbers on named benchmarks (3 benchmarks)

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Research Digest

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