MTIRL: Multi-trainer Interactive Reinforcement Learning System. - Zhaori Guo; Timothy J. Norman; Enrico H. Gerding (PRIMA, 2022)

Multi-trainer Interactive Reinforcement Learning System. - Zhaori Guo; Timothy J. Norman; Enrico H. Gerding (CoRR, 2022)

Multi-Advisor Dynamic Decision Making. - Zhaori Guo (AAMAS, 2023)

MADDM: Multi-Advisor Dynamic Binary Decision-Making by Maximizing the Utility. - Zhaori Guo; Timothy J. Norman; Enrico H. Gerding (AAMAS, 2023)

Multi-Scale Sub-graph View Generation and Siamese Contrastive Learning for Graph Representations. - Rende Hong; Kaibiao Lin; Binsheng Hong; Zhaori Guo; Fan Yang 010 (Appl. Soft Comput., 2025)

Simultaneously local and global contrastive learning of graph representations. - Shuai An; Binsheng Hong; Zhaori Guo; Shunzhi Zhu; Kaibiao Lin; Fan Yang 010 (Eng. Appl. Artif. Intell., 2025)

A cautious multi-advisor sequential decision-making strategy without ground truth for maximizing the profits. - Zhaori Guo; Haitao Yu; Timothy J. Norman; Enrico H. Gerding; Gennaro Auricchio; Zhongqi Cai (Expert Syst. Appl., 2025)