US Patent Issued to HANGZHOU DIANZI UNIVERSITY on Aug. 26 for "Method of optimizing dependent task offloading in internet of vehicles using deep reinforcement learning" (Chinese Inventors)

ALEXANDRIA, Va., Aug. 26 -- United States Patent no. 12,399,756, issued on Aug. 26, was assigned to HANGZHOU DIANZI UNIVERSITY (Hangzhou, China).

"Method of optimizing dependent task offloading in internet of vehicles using deep reinforcement learning" was invented by Peng Liu (Hangzhou, China) and Fei Zhang (Hangzhou, China).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of optimizing dependent task offloading in an Internet of Vehicles using deep reinforcement learning is provided, including the following steps: S1: constructing a vehicle system network; S2: constructing a task model for an application program; S3: constructing a task load model: calculating delay, energy consumption and incentive ...