DOMAIN-INDEPENDENT AND SCALABLE AUTOMATED PLANNING SYSTEM USING DEEP NEURAL NETWORKS

摘要

A specification of a problem using an artificial intelligence planning language is received. Machine learning features are determined using a computer processor and the specification of the problem. Using a trained machine learning model that is trained to approximate an automated planner and the determined machine learning features, a machine learning model result is determined. An action to perform is determined based on the machine learning model result.