Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization. - Shuqing Shi; Xiaobin Wang; Dong Hao; Zhiyou Yang; Hong Qu (IJCNN, 2022)

Double Thompson Sampling in Finite stochastic Games. - Shuqing Shi; Xiaobin Wang; Zhiyou Yang; Fan Zhang; Hong Qu (CoRR, 2022)

Learning the Expected Core of Strictly Convex Stochastic Cooperative Games. - Nam Phuong Tran; The-Anh Ta; Shuqing Shi; Debmalya Mandal; Yali Du 001; Long Tran-Thanh (NeurIPS, 2024)

Incremental model-based reinforcement learning with model constraint. - Zhiyou Yang; Mingsheng Fu; Hong Qu; Fan Li; Shuqing Shi; Wang Hu 001 (Neural Networks, 2025)

SocialJax: An Evaluation Suite for Multi-agent Reinforcement Learning in Sequential Social Dilemmas. - Zihao Guo; Richard Willis; Shuqing Shi; Tristan Tomilin; Joel Z. Leibo; Yali Du 001 (CoRR, 2025)