Asynchronous deep reinforcement learning
US10936946B2 · kind B2 · utility
2Cited by
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20Claims
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Key dates
| Filing date | Nov 11, 2016 |
| Grant date | Mar 2, 2021 |
| Priority date | — |
| Expiry date | Nov 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/098
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for asynchronous deep reinforcement learning. One of the systems includes a plurality of workers, wherein each worker is configured to operate independently of each other worker, and wherein each worker is associated with a respective actor that interacts with a respective replica of the environment during the training of the deep neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.