Enhancing Deep Reinforcement Learning with Executable Specifications

• Published in: Proceedings (IEEE/ACM International Conference on Software Engineering Companion. Online) pp. 213 - 217
• Main Author: Yerushalmi, Raz
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2023
• Subjects: Deep learning; deep reinforcement learning; domain expertise; Machine learning; Medical services; Reinforcement learning; rule-based specifications; Safety; Scalability; scenario-based modeling; Task analysis; Training

Deep reinforcement learning (DRL) has become a dominant paradigm for using deep learning to carry out tasks where complex policies are learned for reactive systems. However, these policies are "black-boxes", e.g., opaque to humans and known to be susceptible to bugs. For example, it is har...