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US Patent 12076638 Automated test multiplexing system

Patent 12076638 was granted and assigned to Electronic Arts on September, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
Electronic Arts
Electronic Arts
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Current Assignee
Electronic Arts
Electronic Arts
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120766380
Patent Inventor Names
Jonathan Albert Rein0
Thomas Patrick O'Neill0
Avery H. Lee0
Igor Borovikov0
Jesse Hans Stokes Harder0
David Vincent0
Graham Michael Parker0
Pawel Piotr Wrotek0
Date of Patent
September 3, 2024
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Patent Application Number
178195930
Date Filed
August 12, 2022
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Patent Citations
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US Patent 10282280 Automated scalable video game testing system
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US Patent 10286323 Dynamic difficulty adjustment
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US Patent 10864446 Automated player control takeover in a video game
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US Patent 10891219 Code failure prediction system
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US Patent 10940393 Customized models for imitating player gameplay in a video game
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US Patent 10949325 Automated cross-session video game testing
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US Patent 11250617 Virtual camera controlled by a camera control device
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US Patent 11179644 Videogame telemetry data and game asset tracker for session recordings
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Patent Primary Examiner
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Ronald Laneau
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CPC Code
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G06N 3/006
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G06N 20/00
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G06N 3/088
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G06F 11/3696
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G06F 11/3684
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G06F 11/3664
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G06F 11/3608
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A63F 13/70
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Patent abstract

An imitation learning system may learn how to play a video game based on user interactions by a tester or other user of the video game. The imitation learning system may develop an imitation learning model based, at least in part, on the tester's interaction with the video game and the corresponding state of the video game to determine or predict actions that may be performed when interacting with the video game. The imitation learning system may use the imitation learning model to control automated agents that can play additional instances of the video game. Further, as the user continues to interact with the video game during testing, the imitation learning model may continue to be updated. Thus, the interactions by the automated agents with the video game may, over time, almost mimic the interaction by the user enabling multiple tests of the video game to be performed simultaneously.

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