The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 16, 2021

Filed:

Mar. 29, 2019
Applicant:

Nvidia Corporation, San Jose, CA (US);

Inventors:

Andrew Fear, Cedar Park, TX (US);

Brian Burke, Cedar Park, TX (US);

Pillulta Venkata Naga Hanumath Prasad, Benguluru, IN;

Abhishek Lalwani, Jaipur, IN;

Assignee:

NVIDIA Corporation, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A63F 13/67 (2014.01); A63F 13/56 (2014.01); G06N 3/08 (2006.01); G06N 7/00 (2006.01); A63F 13/798 (2014.01); A63F 13/49 (2014.01); G06N 20/00 (2019.01); A63F 13/60 (2014.01); A63F 13/497 (2014.01); A63F 13/79 (2014.01);
U.S. Cl.
CPC ...
A63F 13/56 (2014.09); A63F 13/67 (2014.09); A63F 13/798 (2014.09); G06N 3/088 (2013.01); G06N 7/00 (2013.01); A63F 13/49 (2014.09); A63F 13/497 (2014.09); A63F 13/60 (2014.09); A63F 13/79 (2014.09); A63F 2300/208 (2013.01); A63F 2300/535 (2013.01); A63F 2300/55 (2013.01); A63F 2300/558 (2013.01); A63F 2300/5546 (2013.01); A63F 2300/6027 (2013.01); G06N 20/00 (2019.01);
Abstract

In various embodiments of the present disclosure, playstyle patterns of players are learned and used to generate virtual representations ('bots') of users. Systems and methods are disclosed that use game session data (e.g., metadata) from a plurality of game sessions of a game to learn playstyle patterns of users, based on user inputs of the user in view of variables presented within the game sessions. The game session data is applied to one or more machine learning models to learn playstyle patterns of the user for the game, and associated with a user profile of the user. Profile data representative of the user profile is then used to control or instantiate bots of the users, or of categories of users, according to the learned playstyle patterns.


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