Symbolic model training with active learning
US12165019B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2020 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Sep 26, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques regarding generating and/or training one or more symbolic models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a training component that can train a symbolic model via active machine learning. The symbolic model can characterize a formal planning language for a planning domain as a plurality of digital image sequences.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.