Method and apparatus for automatically generated curriculum sequence based reinforcement learning for autonomous vehicles
US10732639B2 · kind B2 · utility
6Cited by
2References
16Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 8, 2018 |
| Grant date | Aug 4, 2020 |
| Priority date | — |
| Expiry date | Oct 29, 2038 |
Classification
- Technology area (CPC B)Performing Operations; Transporting
- CPC primaryB60W2050/0088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the system performs a deep learning algorithm in order to determine the action policy and an automatically generated curriculum system to determine a number of increasingly difficult tasks in order to refine the action policy.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.