US Patent Issued to Maplebear on Dec. 30 for "Automated policy function adjustment using reinforcement learning algorithm" (American, Canadian Inventors)

ALEXANDRIA, Va., Dec. 31 -- United States Patent no. 12,511,677, issued on Dec. 30, was assigned to Maplebear Inc. (San Francisco).

"Automated policy function adjustment using reinforcement learning algorithm" was invented by Tilman Drerup (Palo Alto, Calif.), Nour Alkhatib (Mississauga, Canada), Jonathan Gu (San Francisco), Amin Akbari (San Francisco) and Changyao Chen (New York).

According to the abstract* released by the U.S. Patent & Trademark Office: "An online system may receive, from a content provider, a content presentation campaign that includes one or more objectives. The online system may define a set of one or more policy functions that automatically controls the content presentation campaign. A policy function may control on...