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.
Patent No.:
Date of Patent:
Jul. 01, 2025
Filed:
Apr. 25, 2023
Applicant:
Deepmind Technologies Limited, London, GB;
Inventors:
Saran Tunyasuvunakool, London, GB;
Yuke Zhu, Stanford, CA (US);
Joshua Merel, Chicago, IL (US);
János Kramár, London, GB;
Ziyu Wang, Markham, CA;
Nicolas Manfred Otto Heess, London, GB;
Assignee:
DeepMind Technologies Limited, London, GB;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B25J 9/16 (2006.01); G06N 3/008 (2023.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
B25J 9/163 (2013.01); B25J 9/161 (2013.01); B25J 9/1697 (2013.01); G06N 3/008 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01);
Abstract
A neural network control system for controlling an agent to perform a task in a real-world environment, operates based on both image data and proprioceptive data describing the configuration of the agent. The training of the control system includes both imitation learning, using datasets generated from previous performances of the task, and reinforcement learning, based on rewards calculated from control data output by the control system.