Noisy neural network layers with noise parameters
US11977983B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2020 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Jun 16, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/092
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting an action to be performed by a reinforcement learning agent. The method includes obtaining an observation characterizing a current state of an environment. For each layer parameter of each noisy layer of a neural network, a respective noise value is determined. For each layer parameter of each noisy layer, a noisy current value for the layer parameter is determined from a current value of the layer parameter, a current value of a corresponding noise parameter, and the noise value. A network input including the observation is processed using the neural network in accordance with the noisy current values to generate a network output for the network input. An action is selected from a set of possible actions to be performed by the agent in response to the observation using the network output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.