Reinforcement and model learning for vehicle operation
US11027751B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Oct 31, 2017 |
| Grant date | Jun 8, 2021 |
| Priority date | — |
| Expiry date | Oct 31, 2037 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2556/10
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Methods and vehicles may be configured to gain experience in the form of state-action and/or action-observation histories for an operational scenario as the vehicle traverses a vehicle transportation network. The histories may be incorporated into a model in the form of learning to improve the model over time. The learning may be used to improve integration with human behavior. Driver feedback may be used in the learning examples to improve future performance and to integrate with human behavior. The learning may be used to create customized scenario solutions. The learning may be used to transfer a learned solution and apply the learned solution to a similar scenario.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.