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For the Inventor, By the Inventor

Fremont, CA, United States of America

Meng Wu

USPTO Granted Patents = 10

Average Co-Inventor Count = 5.9

ph-index = 5

Forward Citations = 83(Granted Patents)


Location History:

  • Fremont, CA (US) (2019 - 2022)
  • Sunnyvale, CA (US) (2022)

Company Filing History:

goldMedal10 out of 595 
 
Electronic Arts Inc.
 patents

Years Active: 2019-2022

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10 patents (USPTO):Explore Patents
1. 11534690 - Readable and editable NPC behavior creation using reinforcement learning (2022-12-27),
2. 11478715 - User-controllable model-driven matchmaking (2022-10-25),
3. 11458399 - Systems and methods for automatically measuring a video game difficulty (2022-10-04),
4. 11413539 - Realtime dynamic modification and optimization of gameplay parameters within a video game application (2022-08-16),
5. 11331575 - Virtual environment mapping system (2022-05-17),
6. 11204742 - Multi-objective experiments with dynamic group assignment (2021-12-21),
7. 10799798 - Systems and methods for automatically measuring a video game difficulty (2020-10-13),
8. 10384133 - Systems and methods for automatically measuring a video game difficulty (2019-08-20),
9. 10369472 - Virtual environment mapping system (2019-08-06),
10. 10357718 - Realtime dynamic modification and optimization of gameplay parameters within a video game application (2019-07-23),

Title: The Innovative Contributions of Meng Wu

Introduction

Meng Wu is a prominent inventor based in Fremont, California, known for his significant contributions to the field of computer gaming technology. With a total of 10 patents to his name, he has made remarkable strides in enhancing user experiences through innovative methods and systems.

Latest Patents

One of Meng Wu's latest patents is titled "Readable and editable NPC behavior creation using reinforcement learning." This invention outlines a computer-implemented method that involves training a reinforcement-learning model to control the behavior of non-playable characters (NPCs) in a gaming environment. The process includes converting the trained model into a behavior tree model, allowing for user input to edit and generate an updated model for NPC behavior. This innovation aims to improve the interactivity and realism of NPCs in video games.

Another notable patent is "User-controllable model-driven matchmaking." This technology relates to systems and methods for user matchmaking based on historical data and user control options. The method includes training a quality model and an embedding model, receiving user control options and matchmaking requests, and determining user proximity to facilitate effective matchmaking. This invention enhances the social aspects of gaming by allowing users to connect based on their preferences.

Career Highlights

Meng Wu has established himself as a key figure in the gaming industry, particularly through his work at Electronic Arts Inc. His innovative approaches have not only contributed to the company's success but have also set new standards in game development and user engagement.

Collaborations

Throughout his career, Meng has collaborated with talented individuals such as Navid Aghdaie and Kazi Atif-Uz Zaman. These collaborations have fostered a creative environment that encourages the development of groundbreaking technologies in gaming.

Conclusion

Meng Wu's contributions to the field of gaming technology through his patents and collaborative efforts highlight his role as an influential inventor. His work continues to shape the future of interactive entertainment, making significant impacts on how players engage with virtual worlds.

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