System and method for a framework of robust and safe reinforcement learning application in real world autonomous vehicle application
US10809735B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Sep 6, 2018 |
| Grant date | Oct 20, 2020 |
| Priority date | — |
| Expiry date | Oct 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
In one aspect, a computer-implemented method useful for managing autonomous vehicle application operations with reinforcement learning (RL) methods, the method includes the step of providing an autonomous vehicle application of an autonomous vehicle, wherein the autonomous vehicle application manages a final action of a specified operation of the autonomous vehicle. The method includes the step of generating an RL model-agent for the specified operation. The RL model-agent learns by a maximizing rewards function related to the specified operation. The method includes the step of generating and managing a Safety Sanity Index (SSI) that monitors the safety performance of RL model. The method includes the step of obtaining an observed state of the autonomous vehicle, and generating an interruptible command based on the SSI and the observed state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.