UI-Genie
Training and evaluation code for a mobile-agent framework that iteratively generates trajectories using agent and reward-model feedback.
AI-assisted editorial review against a primary source. This is a catalog annotation, not an independent reproduction or endorsement.
What is this resource?
- Resource type
- Frameworks
- Environment
- android
- Topics
- data-generation, reward-models, imitation-learning
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-17T03:59:54Z
- Resource ID
- github:euphoria16/ui-genie
What licenses are recorded?
Code, training data, weights, and documents can have different terms. A blank declaration means unknown, not unrestricted use.
- Code
- Not recorded
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
License review notes
- Code: The README declares MIT and links a root LICENSE, but the complete retained tree has no root LICENSE; bundled ms-swift has its own license. Preserve this unresolved scope instead of treating a component license as the whole project license. Source 1 Source 2
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Scope and limitations
The tree contains ms-swift-based training and AndroidControl evaluation scripts. The README says AndroidLab/Android Arena scripts and the 72B checkpoint are still forthcoming; these are not claimed released. It declares MIT but links a root LICENSE absent from the inspected tree, so the exact code-license scope remains unresolved. Separate Hub weights and data have their own declarations.
Related resources
- documented by: UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-based Mobile GUI Agents
Primary evidence and verification
Source retrieval is separate from experiment reproduction. Use the original publication or publisher page when citing claims about the resource.
- editorial primary review
Retrieved 2026-10-17T03:59:54Z. Supports: name, kind, summary, environments, topics, scope, relations, licenses.code.
Content fingerprint
e08569bd9d8a6ff44537d4fe69243ddfeb8a41ae5c9f87ef84af50a67c64c726 - editorial primary review
Retrieved 2026-10-17T03:59:54Z. Supports: identity.
Content fingerprint
a53e4cd3b4391c03c9334745152f8c1f66aff7590051f9bdb7e78b81c6c99a24 - editorial primary review
Retrieved 2026-10-17T03:59:55Z. Supports: release_status, licenses.code.
Content fingerprint
c27c6d88d043c964776c04a74517d48644418dca2f5ae9c8ba778d082c12a6ae
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