Action-based models to identify learned tasks
US9384448B2 · kind B2 · utility
2Cited by
2References
8Claims
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Key dates
| Filing date | Dec 28, 2011 |
| Grant date | Jul 5, 2016 |
| Priority date | — |
| Expiry date | Mar 14, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/214
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems provided herein include a learning environment and an agent. The learning environment includes an avatar and an object. A state signal corresponding to a state of the learning environment includes a location and orientation of the avatar and the object. The agent is adapted to receive the state signal, to issue an action capable of generating at least one change in the state of the learning environment, to produce a set of observations relevant to a task, to hypothesize a set of action models configured to explain the observations, and to vet the set of action models to identify a learned model for the task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.