E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. - Can Chang; Ni Mu; Jiajun Wu 001; Ling Pan; Huazhe Xu (NeurIPS, 2022)

Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning. - Ni Mu; Xiao Hu; Qing-Shan Jia; Xu Zhu; Xiao He (CASE, 2024)

S-EPOA: Overcoming the Indivisibility of Annotations with Skill-Driven Preference-Based Reinforcement Learning. - Ni Mu; Yao Luan 001; Yiqin Yang; Qing-Shan Jia (CoRR, 2024)

Preference-Based Multi-Objective Reinforcement Learning. - Ni Mu; Yao Luan 001; Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2025)

A Transformer-Based Thermal Surrogate Model for Cooling Control in Data Centers. - Hanchen Zhou; Ni Mu; Qing-Shan Jia (IEEE Robotics Autom. Lett., 2025)

CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. - Ni Mu; Hao Hu; Xiao Hu; Yiqin Yang; Bo Xu; Qing-Shan Jia (CoRR, 2025)

SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks. - Pengbo Shen; Yaqing Wang; Ni Mu; Yao Luan; Runpeng Xie; Senhao Yang; Lexiang Wang; Hao Hu; Shuang Xu; Yiqin Yang; Bo Xu (CoRR, 2025)