The Partially Observable Asynchronous Multi-Agent Cooperation Challenge. - Meng Yao; Qiyue Yin; Jun Yang 028; Tongtong Yu; Shengqi Shen; Junge Zhang; Bin Liang 001; Kaiqi Huang (CoRR, 2021)

Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (CoRR, 2022)

M2RL: A Multi-player Multi-agent Reinforcement Learning Framework for Complex Games. - Tongtong Yu; Chenghua He; Qiyue Yin (IJCAI, 2024)

An Asymmetric Game Theoretic Learning Model. - Qiyue Yin; Tongtong Yu; Xueou Feng; Jun Yang 028; Kaiqi Huang (PRCV (3), 2024)

Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox. - Qiyue Yin; Tongtong Yu; Shengqi Shen; Jun Yang 028; Meijing Zhao; Wancheng Ni; Kaiqi Huang; Bin Liang 001; Liang Wang 001 (Mach. Intell. Res., 2024)

How to measure the interdisciplinarity of library and information science courses? Based on empirical research at the University of North Carolina at Chapel Hill. - Tongtong Yu; Ying Qi; Tao Zhang (J. Libr. Inf. Sci., 2025)