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Avery H Lee, 45Hayward, CA

Avery Lee Phones & Addresses

Castro Valley, CA   

Concord, CA   

Goleta, CA   

Piedmont, CA   

126 Homewood Dr, Concord, CA 94518    925-8646432   

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Position: Administrative Support Occupations, Including Clerical Occupations

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Avery Cassandra Lee

Licenses:
License #: 006164
Category: Veterinary Technician
Issued Date: Mar 17, 2009
Type: VETERINARY TECHNOLOGY

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Avery Lee

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Avery Lee

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Avery Lee

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Avery Lee

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Avery Lee

Publications & IP owners

Us Patents

Automated Test Multiplexing System

US Patent:
2023000, Jan 12, 2023
Filed:
Aug 12, 2022
Appl. No.:
17/819593
Inventors:
- Redwood City CA, US
Jesse Hans Stokes Harder - Redwood City CA, US
Thomas Patrick O'Neill - Galway, IE
Jonathan Albert Rein - Belmont CA, US
Avery H. Lee - Castro Valley CA, US
Pawel Piotr Wrotek - San Mateo CA, US
Graham Michael Parker - Montreal, CA
David Vincent - Montreal, CA
International Classification:
A63F 13/35
G06N 3/08
G06F 11/36
A63F 13/60
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.

Automated Test Multiplexing System

US Patent:
2021034, Nov 11, 2021
Filed:
May 8, 2020
Appl. No.:
16/870496
Inventors:
- Redwood City CA, US
Jesse Hans Stokes Harder - Redwood City CA, US
Thomas Patrick O'Neill - Galway, IE
Jonathan Albert Rein - Belmont CA, US
Avery H. Lee - Castro Valley CA, US
Pawel Piotr Wrotek - San Mateo CA, US
Graham Michael Parker - Montreal, CA
David Vincent - Montreal, CA
International Classification:
A63F 13/35
G06N 3/08
A63F 13/60
G06F 11/36
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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