Circuit design including design rule violation correction utilizing patches based on deep reinforcement learning

Abstract

A method of improving a design rule fixing process comprises receiving an integrated circuit design, including layout elements, and identifying a plurality of design rule violations in the integrated circuit design. The process then identifies a plurality of possible actions, each action comprising fixing a design rule. The process then uses a deep learning algorithm to select an action, the action representing fixing of a particular design rule violation. The process then comprises applying a first patch, based on the order returning to step (b) to select a next patch to apply.