Wuji: Automatic online combat game testing using evolutionary deep reinforcement learning

• Main Authors: ZHENG, Yan, XIE, Xiaofei, SU, Ting, MA, Lei, HAO, Jianye, MENG, Zhaopeng, LIU, Yang, SHEN, Ruimin, CHEN, Yingfeng, FAN, Changjie
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Testing; Artificial Intelligence; Deep Reinforcement Learning; Evolutionary Multi-Objective Optimizatio; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7065; https://ink.library.smu.edu.sg/context/sis_research/article/8068/viewcontent/e38c5f3d60a830785f1bdd8b69563c45.pdf
• Institution: Singapore Management University

—Game testing has been long recognized as a notoriously challenging task, which mainly relies on manual playing and scripting based testing in game industry. Even until recently, automated game testing still remains to be largely untouched niche. A key challenge is that game testing often requires t...