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COMPANY · ENTITY #7628

MobileWorld

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2

RESEARCH · 1 SOURCE · arXiv cs.AI

MAI-Gym: open platform and MAI-Gym-9B for scalable GUI agent training and evaluation

MAI-Gym is an open all-in-one platform that unifies GUI agent evaluation, data collection, and online RL training across mobile, desktop and web, supporting ten benchmarks and scaling to 20,000 parallel environment instances while enabling automated app synthesis and execution-validated task verifiers. Using this platform the authors train MAI-Gym-9B (9B parameters), report 78.4% on MobileWorld and 76.2% on OSWorld-Verified, show transfer from a mocked train-ticketing app to a physical phone (task success 28.8% → 48.1%), and release the framework, synthesis skills, mocked apps, 2,000 verified tasks and the model checkpoint (arXiv:2610.20939v1).

8.0

RESEARCH · 1 SOURCE · arXiv cs.AI

GUI-SD-v2 extends on-policy self-distillation to multi-turn GUI agents

arXiv paper (2609.27307v1) introduces GUI-SD-v2, a two-stage training framework that extends on-policy self-distillation (OPSD) from GUI grounding to multi-turn GUI interaction by jointly optimizing rollouts with and without privileged guidance and selectively distilling step-specific reasoning and memory guidance. The authors report that GUI-SD-v2 improves Pass@1 and Pass@3 over OPSD baselines and evaluated state-of-the-art methods on the AndroidWorld and MobileWorld benchmarks; code and training data are slated for public release.

6.0