Deep Reinforcement Learning Technologies for Detecting Malware

Technologies for detecting malware based on reinforcement learning model to detect whether a file is malicious or benign and to determine the best time to halt the file's execution in so detecting. The reinforcement learning model combined with an event classifier and a file classifier learns whether to halt execution after enough state information has been observed or to continue execution if more events are needed to make a highly confident determination. The algorithm disclosed allows the system to decide when to stop on a per file basis.