US Patent Issued to Google on Jan. 27 for "Training reinforcement learning agents to learn farsighted behaviors by predicting in latent space" (British, Canadian Inventors)

ALEXANDRIA, Va., Jan. 28 -- United States Patent no. 12,533,800, issued on Jan. 27, was assigned to Google LLC (Mountain View, Calif.).

"Training reinforcement learning agents to learn farsighted behaviors by predicting in latent space" was invented by Danijar Hafner (London), Mohammad Norouzi (Richmond Hil, Canada) and Timothy Paul Lillicrap (London).

According to the abstract* released by the U.S. Patent & Trademark Office: "Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an action selection policy neural network used to select an action to be performed by an agent interacting with an environment. In one aspect, a method includes: receiving a latent representation character...