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:
Oct. 31, 2023

Filed:

Sep. 14, 2020
Applicant:

Deepmind Technologies Limited, London, GB;

Inventors:

Timothy Paul Lillicrap, London, GB;

Jonathan James Hunt, London, GB;

Alexander Pritzel, London, GB;

Nicolas Manfred Otto Heess, London, GB;

Tom Erez, London, GB;

Yuval Tassa, London, GB;

David Silver, Hitchin, GB;

Daniel Pieter Wierstra, London, GB;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/006 (2023.01); G06N 3/084 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06N 3/006 (2013.01); G06N 3/045 (2023.01); G06N 3/084 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for training an actor neural network used to select actions to be performed by an agent interacting with an environment. One of the methods includes obtaining a minibatch of experience tuples; and updating current values of the parameters of the actor neural network, comprising: for each experience tuple in the minibatch: processing the training observation and the training action in the experience tuple using a critic neural network to determine a neural network output for the experience tuple, and determining a target neural network output for the experience tuple; updating current values of the parameters of the critic neural network using errors between the target neural network outputs and the neural network outputs; and updating the current values of the parameters of the actor neural network using the critic neural network.


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