US Patent 10926408 Artificial intelligence system for efficiently learning robotic control policies

A machine learning system builds and uses control policies for controlling robotic performance of a task. Such control policies may be trained using targeted updates, for example by comparing two trials to identify which represents a greater degree of task success, using this to generate updates from a reinforcement learning system, and weighting the updates based on differences between action vectors of the trials.