US Patent Issued to Google on Aug. 11 for "Learning policies using sparse and underspecified rewards" (Canadian, American Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,705,477, issued on Aug. 11, was assigned to Google LLC (Mountain View, Calif.).

"Learning policies using sparse and underspecified rewards" was invented by Rishabh Agarwal (Montreal), Chen Liang (Stanford, Calif.), Dale Eric Schuurmans (Mountain View, Calif.) and Mohammad Norouzi (Richmond Hill, Canada).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods and systems for learning policies using sparse and underspecified rewards. One of the methods includes training the policy jointly with an auxiliary reward function having a plurality of auxiliary reward parameters, the auxiliary reward function being configured to map, in accordance with the auxiliar...