Ni Mu

According to our database, Ni Mu authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning.

Yao Luan, Ni Mu, Yiqin Yang, Bo Xu, Qing-Shan Jia

CoRR, September, 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, August, 2025

CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries.

Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia

CoRR, June, 2025

A Transformer-Based Thermal Surrogate Model for Cooling Control in Data Centers.

Hanchen Zhou, Ni Mu, Qing-Shan Jia

IEEE Robotics Autom. Lett., January, 2025

Preference-Based Multi-Objective Reinforcement Learning.

Ni Mu, Yao Luan, Qing-Shan Jia

IEEE Trans Autom. Sci. Eng., 2025

S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning.

Ni Mu, Yao Luan, Yiqin Yang, Bo Xu, Qing-Shan Jia

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Safety-Guaranteed Policy Composition via Generalized Policy Improvement for Autonomous Vehicles.

Ni Mu, Yao Luan, Qing-Shan Jia

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

Addressing Coupling in Restless Multi-Armed Bandits by Finetuning Whittle Index.

Yao Luan, Ni Mu, Qing-Shan Jia

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

S-EPOA: Overcoming the Indivisibility of Annotations with Skill-Driven Preference-Based Reinforcement Learning.

Ni Mu, Yao Luan, Yiqin Yang, Qing-Shan Jia

CoRR, 2024

Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning.

Ni Mu, Xiao Hu, Qing-Shan Jia, Xu Zhu, Xiao He

Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024

2022

E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance.

Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022