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Ni Mu

GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems
2026 · Yang, Yiqin, Yang, Xu, et al. · arXiv (Cornell University) · 22
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Preference-Based Multi-Objective Reinforcement Learning
2025 · Ni Mu, Yao Luan, et al. · IEEE Transactions on Automation Science and Engineering · 15
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A Transformer-Based Thermal Surrogate Model for Cooling Control in Data Centers
2024 · Hanchen Zhou, Ni Mu, et al. · IEEE Robotics and Automation Letters · 14
Preference-Based Multi-Objective Reinforcement Learning with Explicit Reward Modeling
2024 · Ni Mu, Yao Luan, et al. · China Automation Congress (CAC) · 8
Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning
2024 · Ni Mu, Xiao Hu, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 8
Integrating Mechanism and Data: Reinforcement Learning Based on Multi-Fidelity Model for Data Center Cooling Control
2023 · Ni Mu, Xiao Hu, et al. · China Automation Congress (CAC) · 8
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
2022 · Chang, Can, Mu, Ni, et al. · arXiv (Cornell University) · 6
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S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning
2025 · Ni Mu, Yao Luan, et al. · International Joint Conference on Artificial Intelligence · 5
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Addressing Coupling in Restless Multi-Armed Bandits by Finetuning Whittle Index
2025 · Yao Luan, Ni Mu, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 3
MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios
2026 · Xuantang Xiong, Ni Mu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
Safety-Guaranteed Policy Composition via Generalized Policy Improvement for Autonomous Vehicles
2025 · Ni Mu, Yao Luan, et al. · IEEE International Conference on Automation Science and Engineering (CASE) · 2
CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries
2025 · Mu, Ni, Hu, Hao, et al. · arXiv (Cornell University) · 2
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E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
2022 · Can Chang, Ni Mu, et al. · neural information processing systems · 2
MAGPIE: Utilizing Agent-Specific Preferences for Multi-Agent Reinforcement Learning
2025 · Ni Mu, Yao Luan, et al. · China Automation Congress (CAC) · 1
STAIR: Addressing Stage Misalignment through Temporal-Aligned Preference Reinforcement Learning
2025 · Yao Luan, Ni Mu, et al. · neural information processing systems · 1
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DAIL: Beyond Task Ambiguity for Language-Conditioned Reinforcement Learning
2025 · Runpeng Xie, Quanwei Wang, et al. · neural information processing systems · 1
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Learning Interpretable Index Policies via LLM-Driven Zero-Order Optimization
2026 · Yao Luan, Ni Mu, et al. · IEEE International Conference on Automation Science and Engineering (CASE)
COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space
2026 · Luan, Yao, Mu, Ni, et al. · arXiv (Cornell University)
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Multi-Agent Reinforcement Learning via Agent-Specific Preference
2026 · Ni Mu, Yao Luan, et al. · IEEE Transactions on Automation Science and Engineering
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LLM-Empowered Knowledge Graph Construction for Optimization Formalization in Smart Manufacturing
2025 · Ni Mu, Zeyuan Liu, et al. · China Automation Congress (CAC)
Works count: 22
Citation count: 103
H-index: 6
I10-index: 3
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