Distributed training for machine learning of AI controlled virtual entities on video game clients
US11110353B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 10, 2019 |
| Grant date | Sep 7, 2021 |
| Priority date | — |
| Expiry date | Sep 13, 2039 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA63F2300/535
- WIPO fieldFurniture, games
- WIPO sectorOther fields
Abstract
System and methods for utilizing a video game console to monitor the player's video game, detect when a particular gameplay situation occurs during the player's video game experience, and collect game state data corresponding to how the player reacts to the particular gameplay situation or an effect of the reaction. In some cases, the video game console can receive an exploratory rule set to apply during the particular gameplay situation. In some cases, the video game console can trigger the particular gameplay situation. A system can receive the game state data from many video game consoles and train a rule set based on the game state data. Advantageously, the system can save computational resources by utilizing the players' video game experience to train the rule set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.