Training machine learning model(s), in simulation, for use in controlling autonomous vehicle(s)
US11989020B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 17, 2020 |
| Grant date | May 21, 2024 |
| Priority date | — |
| Expiry date | Jun 6, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldControl
- WIPO sectorInstruments
Abstract
Systems and methods for training a machine learning (“ML”) model for use in controlling an autonomous vehicle (“AV”) are described herein. Implementations can obtain an initial state instance from driving of a vehicle, obtain ground truth label(s) for subsequent state instance(s) that each indicate a corresponding action of the vehicle for a corresponding time instance, perform, for a given time interval, a simulated episode, of locomotion of a simulated AV, generate, for each of a plurality of time instances of the given time interval, subsequent simulated state instance(s) that differ from the subsequent state instance(s), determine, using the ML model, and for each of the time instances, a predicted simulated action of the simulated AV based on the subsequent simulated operation instance(s), generate loss(es) based on the predicted simulated actions and the ground truth labels, and update the ML model based on the loss(es).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.