US Patent Issued to TENCENT AMERICA on April 21 for "End-to-end neural compression with deep reinforcement learning" (California Inventors)

ALEXANDRIA, Va., April 21 -- United States Patent no. 12,610,051, issued on April 21, was assigned to TENCENT AMERICA LLC (Palo Alto, Calif.).

"End-to-end neural compression with deep reinforcement learning" was invented by Wei Jiang (Sunnyvale, Calif.), Wei Wang (Sunnyvale, Calif.), Sheng Lin (San Jose, Calif.) and Shan Liu (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "End-to-end neural image compression using deep reinforcement learning (DRL) is performed by at least one processor and includes encoding an input, generating encoded representations of the input, generating a set of quantization keys using a first neural network, based on a set of previous quantization states, wherein each ...