ALEXANDRIA, Va., Nov. 11 -- United States Patent no. 12,468,779, issued on Nov. 11, was assigned to GDM Holding LLC (Mountain View, Calif.).

"Training action-selection neural networks from demonstrations using multiple losses" was invented by Todd Andrew Hester (Seattle).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method of training an action selection neural network to perform a demonstrated task using a supervised learning technique. The action selection neural network is configured to receive demonstration data comprising actions to perform the task and rewards received for performing the actions. The action selection neural network has auxiliary prediction task neural networks on one or more of its i...