On Reinforcement Learning for Full-Length Game of StarCraft. - Zhen-Jia Pang; Ruo-Ze Liu; Zhou-Yu Meng; Yi Zhang 108; Yang Yu 001; Tong Lu (AAAI, 2019)

Efficient Reinforcement Learning with a Mind-Game for Full-Length StarCraft II. - Ruo-Ze Liu; Haifeng Guo; Xiaozhong Ji; Yang Yu 001; Zitai Xiao; Yuzhou Wu; Zhen-Jia Pang; Tong Lu (CoRR, 2019)

Validation Set Evaluation can be Wrong: An Evaluator-Generator Approach for Maximizing Online Performance of Ranking in E-commerce. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Wen-Ji Zhou; Qing Da; Anxiang Zeng; Yang Yu 001 (CoRR, 2020)

On Efficient Reinforcement Learning for Full-length Game of StarCraft II. - Ruo-Ze Liu; Zhen-Jia Pang; Zhou-Yu Meng; Wenhai Wang; Yang Yu 001; Tong Lu (J. Artif. Intell. Res., 2022)

Efficient Reinforcement Learning for StarCraft by Abstract Forward Models and Transfer Learning. - Ruo-Ze Liu; Haifeng Guo; Xiaozhong Ji; Yang Yu 001; Zhen-Jia Pang; Zitai Xiao; Yuzhou Wu; Tong Lu (IEEE Trans. Games, 2022)

AliExpress Learning-to-Rank: Maximizing Online Model Performance Without Going Online. - Guangda Huzhang; Zhen-Jia Pang; Yongqing Gao; Yawen Liu; Weijie Shen; Wen-Ji Zhou; Qianying Lin; Qing Da; Anxiang Zeng; Han Yu 001; Yang Yu 001; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2023)