Curiosity-driven testing for sequential decision-making process

• Main Authors: HE, Junda, YANG, Zhou, SHI, Jieke, YANG, Chengran, KIM, Kisub, XU, Bowen, ZHOU, Xin, David LO
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Fuzz Testing; Sequential Decision Making; Deep Learning; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/9258; https://ink.library.smu.edu.sg/context/sis_research/article/10258/viewcontent/3597503.3639149.pdf
• Institution: Singapore Management University

Sequential decision-making processes (SDPs) are fundamental for complex real-world challenges, such as autonomous driving, robotic control, and traffic management. While recent advances in Deep Learning (DL) have led to mature solutions for solving these complex problems, SDMs remain vulnerable to l...