InfiGUI-R1
3B GUI agent trained in two stages: distilling spatial reasoning from teacher models, then reinforcement learning that rewards accurate sub-goals and trains error recovery.
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What is this resource?
- Resource type
- Models and checkpoints
- Environment
- cross-platform
- Topics
- reinforcement-learning, planning
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-16T06:36:00Z
- Resource ID
- github:reallm-labs/infigui-r1
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 (repository LICENSE header; not a weights/data license)
- Data
- Not recorded
- Document
- Not recorded
- Weights
- Not recorded
Explore related topics
Related resources
- documented by: InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners
Primary evidence and verification
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- editorial primary review
Retrieved 2026-10-16T06:36:00Z. Supports: name, kind, summary, environments, topics, scope, relations.
Content fingerprint
5fd1399c88bdf406e7689765ccf0599b3b7e0ddbed082fa92bffdd7b120bd41a - license header
Retrieved 2026-10-16T06:42:01Z. Supports: licenses.code.
Content fingerprint
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4
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