Readable and editable NPC behavior creation using reinforcement learning
US11534690B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 21, 2020 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Dec 26, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
According to a first aspect of this specification, there is disclosed a computer implemented method comprising: training, based on an initial behavior goal and using reinforcement-learning, a reinforcement-learning model for controlling behavior of a non-playable character in a computer game environment; converting the trained reinforcement-learning model into a behavior tree model for controlling behavior of the non-playable character; editing, based on a user input, the behavior tree model to generate an updated behavior tree model for controlling behavior of the non-playable character; and outputting a final model for controlling non-player character behavior for use in the computer game environment, wherein the model for controlling non-player character behavior is based at least in part on the updated behavior tree model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.