Invention Grant
- Patent Title: Distributed training for machine learning of AI controlled virtual entities on video game clients
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Application No.: US16507864Application Date: 2019-07-10
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Publication No.: US11110353B2Publication Date: 2021-09-07
- Inventor: Caedmon Somers , Jason Rupert , Igor Borovikov , Ahmad Beirami , Yunqi Zhao , Mohsen Sardari , John Kolen , Navid Aghdaie , Kazi Atif-Uz Zaman
- Applicant: Electronic Arts Inc.
- Applicant Address: US CA Redwood City
- Assignee: Electronic Arts Inc.
- Current Assignee: Electronic Arts Inc.
- Current Assignee Address: US CA Redwood City
- Agency: Knobbe, Martens, Olson & Bear, LLP
- Main IPC: A63F13/67
- IPC: A63F13/67 ; A63F13/69 ; A63F13/58

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.
Public/Granted literature
- US20210008456A1 DISTRIBUTED TRAINING FOR MACHINE LEARNING OF AI CONTROLLED VIRTUAL ENTITIES ON VIDEO GAME CLIENTS Public/Granted day:2021-01-14
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