# UI-AGILE

GUI agent trained by RL with a continuous reward, a simple-thinking reward and cropping-based resampling on about 9k samples, plus a plug-in decomposed grounding-and-selection inference method.

- Catalog URL: https://awesomecua.github.io/resources/github-kdegroup-ui-agile/
- Original source: https://github.com/KDEGroup/UI-AGILE
- Kind: model
- Review: curated
- Scope: core
- Environments: cross-platform
- Topics: grounding, reinforcement-learning
- Evidence checked: 2026-10-16T06:36:00Z
- ID: github:kdegroup/ui-agile

## Limitations

Inclusion does not establish reproducibility or endorsement.

- Record JSON: https://awesomecua.github.io/resources/github-kdegroup-ui-agile/record.json

## License declarations

- code: MIT — https://raw.githubusercontent.com/KDEGroup/UI-AGILE/HEAD/LICENSE
- data: not recorded
- document: not recorded
- weights: not recorded

## Primary evidence

- https://raw.githubusercontent.com/KDEGroup/UI-AGILE/HEAD/README.md (retrieved 2026-10-16T06:36:00Z; SHA-256 eb2a2767741b53e5a6659ef4b0cc325ac18ffdc4222deef1d0e7671089fcaa39)
- https://raw.githubusercontent.com/KDEGroup/UI-AGILE/HEAD/LICENSE (retrieved 2026-10-16T06:42:01Z; SHA-256 a145c4ec8fd43f59ebe97708b6ee4cef8112959036957eaa4739b8da9a297e8a)