Learning Diverse Policies in MOBA Games via Macro-Goals. - Yiming Gao 007; Bei Shi; Xueying Du; Liang Wang 015; Guangwei Chen; Zhenjie Lian; Fuhao Qiu; Guoan Han; Weixuan Wang; Deheng Ye; Qiang Fu 016; Wei Yang 032; et al. (NeurIPS, 2021)

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. - Deheng Ye; Guibin Chen; Peilin Zhao; Fuhao Qiu; Bo Yuan 008; Wen Zhang; Sheng Chen; Mingfei Sun 001; Xiaoqian Li; Siqin Li; Jing Liang; Zhenjie Lian; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Zhenjie Lian; Weixuan Wang; Siqin Li; Xianliang Wang; Xianhan Zeng; Rundong Wang; Jiawei Wang; Qiang Fu 016; Wei Yang 032; et al. (ICLR, 2023)

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Dehua Zheng; Zhenjie Lian; Weixuan Wang; Wenjin Yang; Siqin Li; Xianliang Wang; Wenhui Chen; Jing Dai; Qiang Fu 016; et al. (ICLR, 2024)