Simulation orchestration for training reinforcement learning models
US11429762B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 27, 2018 |
| Grant date | Aug 30, 2022 |
| Priority date | — |
| Expiry date | Nov 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A simulation workflow manager obtains a set of parameters for simulation of a system and training of a reinforcement learning model for optimizing an application of the system. In response to obtaining the set of parameters, the simulation workflow manager configures a first compute node that includes a training application for training the reinforcement learning model. The simulation workflow manager also configures a second compute note with a simulation application to perform the simulation of the system in a simulation environment. Data is generated through execution of the simulation in the second compute node that is provided to the first compute node to cause the training application to use the data to train the reinforcement learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.