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2020 – today
- 2025
[j2]Hanchen Zhou
, Ni Mu, Qing-Shan Jia:
A Transformer-Based Thermal Surrogate Model for Cooling Control in Data Centers. IEEE Robotics Autom. Lett. 10(1): 644-651 (2025)- [j1]Ni Mu, Yao Luan, Qing-Shan Jia:
Preference-Based Multi-Objective Reinforcement Learning. IEEE Trans Autom. Sci. Eng. 22: 18737-18749 (2025) - [c5]Ni Mu, Yao Luan, Qing-Shan Jia:
Safety-Guaranteed Policy Composition via Generalized Policy Improvement for Autonomous Vehicles. CASE 2025: 2450-2455 - [c4]Yao Luan, Ni Mu, Qing-Shan Jia:
Addressing Coupling in Restless Multi-Armed Bandits by Finetuning Whittle Index. CASE 2025: 2456-2461 - [c3]Ni Mu, Yao Luan, Yiqin Yang, Bo Xu, Qing-Shan Jia:
S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning. IJCAI 2025: 5967-5975 - [i6]Ni Mu, Hao Hu, Xiao Hu, Yiqin Yang, Bo Xu, Qing-Shan Jia:
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. CoRR abs/2506.00388 (2025) - [i5]Ni Mu, Yao Luan, Qing-Shan Jia:
Preference-based Multi-Objective Reinforcement Learning. CoRR abs/2507.14066 (2025) - [i4]Pengbo Shen, Yaqing Wang, Ni Mu, Yao Luan, Runpeng Xie, Senhao Yang, Lexiang Wang, Hao Hu, Shuang Xu, Yiqin Yang, Bo Xu:
SC2Arena and StarEvolve: Benchmark and Self-Improvement Framework for LLMs in Complex Decision-Making Tasks. CoRR abs/2508.10428 (2025) - [i3]Yao Luan, Ni Mu, Yiqin Yang, Bo Xu, Qing-Shan Jia:
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning. CoRR abs/2509.23802 (2025) - 2024
- [c2]Ni Mu, Xiao Hu, Qing-Shan Jia, Xu Zhu, Xiao He:
Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning. CASE 2024: 2780-2785 - [i2]Ni Mu, Yao Luan, Yiqin Yang, Qing-Shan Jia:
S-EPOA: Overcoming the Indivisibility of Annotations with Skill-Driven Preference-Based Reinforcement Learning. CoRR abs/2408.12130 (2024) - 2022
- [c1]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. NeurIPS 2022 - [i1]Can Chang, Ni Mu, Jiajun Wu, Ling Pan, Huazhe Xu:
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance. CoRR abs/2212.02064 (2022)
Coauthor Index
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