Method and system for continual learning in an intelligent artificial agent
US11443229B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Aug 31, 2018 |
| Grant date | Sep 13, 2022 |
| Priority date | — |
| Expiry date | Aug 27, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/043
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for teaching an artificial intelligent agent includes giving the agent several examples where it can learn to identify what is important about these example states. Once the agent has the ability to recognize a goal configuration, it can use that information to then learn how to achieve the goal states on its own. An agent may be provided with positive and negative examples to demonstrate a goal configuration. Once the agent has learned certain goal configurations, the agent can learn an option to achieve the goal configuration and a distance function that predicts at least one of a distance and a duration to the goal configuration under the learned option. This distance function prediction may be incorporated as a state feature of the agent.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.