DigiRL
Reinforcement learning for autonomous mobile device control.
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
- reinforcement-learning
- Record publication date
- Not recorded
- Evidence retrieved
- 2026-10-16T06:36:04Z
- Resource ID
- github:digirl-agent/digirl
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: DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
Primary evidence and verification
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- editorial primary review
Retrieved 2026-10-16T06:36:04Z. Supports: name, kind, summary, environments, topics, scope, relations.
Content fingerprint
464e26d88420cd2694abe4c014bfd088417622c3a980aadf19b2bf01988d5b65 - license header
Retrieved 2026-10-16T06:42:05Z. Supports: licenses.code.
Content fingerprint
c71d239df91726fc519c6eb72d318ec65820627232b2f796219e87dcf35d0ab4
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