Frameworks

MobileForge

Android GUI-agent adaptation framework combining app exploration, generated curricula and rollout feedback with hint-conditioned step-level GRPO; the documented public training path targets Qwen3-VL-8B.

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What is this resource?

Resource type: Frameworks
Environment: android
Topics: mobile-navigation, data-generation, reinforcement-learning, evaluation
Record publication date: Not recorded
Evidence retrieved: 2026-10-20T03:55:04.230792+00:00
Resource ID: github:kwai/mobileforge

What licenses are recorded?

Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.

Code: Apache-2.0 (Complete repository root Apache License 2.0 text; code declaration only, not linked datasets or weights.)
Data: Not recorded
Document: Not recorded
Weights: Not recorded

License review notes

Code: The complete root LICENSE declares Apache-2.0 for repository code. Linked data and model weights, and third-party dependencies, retain separate licensing requirements. Source 1 Source 2

Recorded specifications

repository id: 1278021888

Explore related topics

Mobile navigation Data generation Reinforcement learning Evaluation

Scope and limitations

The root README describes MobileGym exploration/feedback and HiFPO optimization. The training README limits its public training path to the Qwen3-VL-8B experiment. Linked model and dataset collections, executable source completeness and benchmark results were not independently verified; the repository code license is not a model or dataset license.

Related resources

introduced by: MobileForge: Annotation-Free Adaptation for Mobile GUI Agents with Hierarchical Feedback-Guided Policy Optimization

Primary evidence and verification

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editorial primary review
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