ALEXANDRIA, Va., Nov. 25 -- United States Patent no. 12,479,093, issued on Nov. 25, was assigned to GOOGLE LLC (Mountain View, Calif.).
"Data-efficient hierarchical reinforcement learning" was invented by Honglak Lee (Mountain View, Calif.), Shixiang Gu (Mountain View, Calif.) and Sergey Levine (Berkeley, Calif.).
According to the abstract* released by the U.S. Patent & Trademark Office: "Training and/or utilizing a hierarchical reinforcement learning (HRL) model for robotic control. The HRL model can include at least a higher-level policy model and a lower-level policy model. Some implementations relate to technique(s) that enable more efficient off-policy training to be utilized in training of the higher-level policy model and/or the lo...