| CPC A63F 13/67 (2014.09) [A63F 13/798 (2014.09); G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06N 3/08 (2013.01)] | 18 Claims |
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1. A method, comprising:
recording gameplay data from a first session of a video game, the first session defined for interactive gameplay of a user;
training a machine learning model using the gameplay data, wherein the training causes the machine learning model to imitate the interactive gameplay of the user;
after the training, exposing the machine learning model to one or more scenarios of the video game, such that the machine learning model generates gameplay actions in response to the one or more scenarios; and
evaluating the gameplay actions of the machine learning model in response to the one or more scenarios to determine a classification of the machine learning model, wherein the classification is indicative of descriptive features of the user's gameplay including a style of gameplay;
using the classification of the machine learning model to provide a coaching recommendation to the user.
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