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:
Jan. 30, 2024
Filed:
Apr. 19, 2023
Openai Opco, Llc, San Francisco, CA (US);
Bowen Baker, Nevada City, CA (US);
Ilge Akkaya, Palo Alto, CA (US);
Peter Zhokhov, South San Francisco, CA (US);
Joost Huizanga, San Francisco, CA (US);
Jie Tang, San Francisco, CA (US);
Adrien Ecoffet, Burlingame, CA (US);
Brandon Houghton, San Francisco, CA (US);
Raul Sampedro Gonzalez, San Mateo, CA (US);
Jeffrey Clune, Vancouver, CA;
OpenAI Opco, LLC, San Francisco, CA (US);
Abstract
Disclosed herein are methods, systems, and computer-readable media for training a machine learning model to label unlabeled data and/or perform automated actions. In an embodiment, a method comprises receiving unlabeled digital video data, generating pseudo-labels for the unlabeled digital video data, the generating comprising receiving labeled digital video data, training an inverse dynamics model (IDM) using the labeled digital video data, and generating at least one pseudo-label for the unlabeled digital video data, wherein the at least one pseudo-label is based on a prediction, generated by the IDM, of one or more actions that mimic at least one timestep of the unlabeled digital video data. In some embodiments, the method further comprises adding the at least one pseudo-label to the unlabeled digital video data and further training the IDM or a machine learning model using the pseudo-labeled digital video data.