Reinforcement learning using distributed prioritized replay
US11625604B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 29, 2018 |
| Grant date | Apr 11, 2023 |
| Priority date | — |
| Expiry date | Dec 10, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an action selection neural network used to select actions to be performed by an agent interacting with an environment. One of the systems includes (i) a plurality of actor computing units, in which each of the actor computing units is configured to maintain a respective replica of the action selection neural network and to perform a plurality of actor operations, and (ii) one or more learner computing units, in which each of the one or more learner computing units is configured to perform a plurality of learner operations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.