ALEXANDRIA, Va., July 3 -- United States Patent no. 12,343,874, issued on July 1, was assigned to DeepMind Technologies Ltd. (London).
"Reinforcement and imitation learning for a task" was invented by Saran Tunyasuvunakool (London), Yuke Zhu (Stanford, Calif.), Joshua Merel (Chicago), Janos Kramar (London), Ziyu Wang (Markham, Canada) and Nicolas Manfred Otto Heess (London).
According to the abstract* released by the U.S. Patent & Trademark Office: "A neural network control system for controlling an agent to perform a task in a real-world environment, operates based on both image data and proprioceptive data describing the configuration of the agent. The training of the control system includes both imitation learning, using datasets gener...