Training action selection neural networks using look-ahead search
US11449750B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 28, 2018 |
| Grant date | Sep 20, 2022 |
| Priority date | — |
| Expiry date | Sep 12, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- 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. One of the methods includes receiving an observation characterizing a current state of the environment; determining a target network output for the observation by performing a look ahead search of possible future states of the environment starting from the current state until the environment reaches a possible future state that satisfies one or more termination criteria, wherein the look ahead search is guided by the neural network in accordance with current values of the network parameters; selecting an action to be performed by the agent in response to the observation using the target network output generated by performing the look ahead search; and storing, in an exploration history data store, the target network output in association with the observation for use in updating the current values of the network parameters.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.