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:
Sep. 03, 2024

Filed:

May. 11, 2022
Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Subrata Mitra, Karnataka, IN;

Yash Gadhia, Mumbai Maharashtra, IN;

Tong Yu, San Jose, CA (US);

Shaddy Garg, Punjab, IN;

Nikhil Sheoran, Chandigarh, IN;

Arjun Kashettiwar, Pune Maharashtra, IN;

Anjali Yadav, Rajasthan, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/2455 (2019.01); G06F 16/2453 (2019.01); G06F 16/2457 (2019.01); G06F 16/2458 (2019.01); G06F 18/21 (2023.01);
U.S. Cl.
CPC ...
G06F 16/2455 (2019.01); G06F 16/24542 (2019.01); G06F 16/2457 (2019.01); G06F 16/2474 (2019.01); G06F 18/217 (2023.01);
Abstract

Some techniques described herein relate to utilizing a machine-learning (ML) model to select respective samples for queries of a query sequence. In one example, a method includes receiving a query in a query sequence, where the query is directed toward a dataset. Samples are available as down-sampled versions of the dataset. The method further include applying an agent to select, for the query, a sample from among the samples of the dataset. The agent includes an ML model trained, such as via intent-based reinforcement learning, to select respective samples for queries. The query is then executed against the sample to output a response.


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