The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 24, 2026

Filed:

Oct. 08, 2020
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Eren Sezener, London, GB;

Joel William Veness, London, GB;

Marcus Hutter, London, GB;

Jianan Wang, Kai Tak, HK;

David Budden, London, GB;

Assignee:

GDM Holding LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/006 (2023.01); G06N 3/063 (2023.01);
U.S. Cl.
CPC ...
G06N 3/006 (2013.01); G06N 3/063 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for training a neural network to control a real-world agent interacting with a real-world environment to cause the real-world agent to perform a particular task. One of the methods includes training the neural network to determine first values of the parameters by optimizing a first task-specific objective that measures a performance of the policy neural network in controlling a simulated version of the real-world agent; obtaining real-world data generated from interactions of the real-world agent with the real-world environment; and training the neural network to determine trained values of the parameters from the first values of the parameters by jointly optimizing (i) a self-supervised objective that measures at least a performance of internal representations generated by the neural network on a self-supervised task performed on the real-world data and (ii) a second task-specific objective.


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