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:
Jul. 08, 2025

Filed:

Oct. 07, 2020
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Rae Chan Jeong, London, GB;

Yusuf Aytar, London, GB;

David Khosid, London, GB;

Yuxiang Zhou, London, GB;

Jacqueline Ok-chan Kay, London, GB;

Thomas Lampe, London, GB;

Konstantinos Bousmalis, London, GB;

Francesco Nori, London, GB;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G05B 19/4155 (2006.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G05B 19/4155 (2013.01); G05B 2219/41054 (2013.01); G05B 2219/50391 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a policy neural network for use in controlling a real-world agent in a real-world environment. One of the methods includes training the policy neural network 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; and then training the policy neural network by jointly optimizing (i) a self-supervised objective that measures at least a performance of internal representations generated by the policy neural network on a self-supervised task performed on real-world data and (ii) a second task-specific objective that measures the performance of the policy neural network in controlling the simulated version of the real-world agent.


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