Muning Wen

According to our database, Muning Wen authored at least 31 papers between 2021 and 2025.

Collaborative distances:

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

2025

RDHNet: addressing rotational and permutational symmetries in continuous multi-agent systems.

Dongzi Wang, Lilan Huang, Muning Wen, Yuanxi Peng, Minglong Li, Teng Li

Frontiers Comput. Sci., November, 2025

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation.

Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang

CoRR, July, 2025

A Survey of AI Agent Protocols.

Yingxuan Yang, Huacan Chai, Yuanyi Song, Siyuan Qi, Muning Wen, Ning Li, Junwei Liao, Haoyi Hu, Jianghao Lin, Gaowei Chang, Weiwen Liu, Ying Wen, Yong Yu, Weinan Zhang

CoRR, April, 2025

MARFT: Multi-Agent Reinforcement Fine-Tuning.

Junwei Liao, Muning Wen, Jun Wang, Weinan Zhang

CoRR, April, 2025

Learning Humanoid Standing-up Control across Diverse Postures.

Tao Huang, Junli Ren, Huayi Wang, Zirui Wang, Qingwei Ben, Muning Wen, Xiao Chen, Jianan Li, Jiangmiao Pang

CoRR, February, 2025

PMAT: Optimizing Action Generation Order in Multi-Agent Reinforcement Learning.

Kun Hu, Muning Wen, Xihuai Wang, Shao Zhang, Yiwei Shi, Minne Li, Minglong Li, Ying Wen

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Robust Function-Calling for On-Device Language Model via Function Masking.

Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.

Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Assistant Scenarios.

Jun Wang, Jiamu Zhou, Xihuai Wang, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Jincheng Jincheng, Muning Wen, Weinan Zhang, Qiuying Peng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation.

Yiwei Shi, Muning Wen, Qi Zhang, Weinan Zhang, Cunjia Liu, Weiru Liu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Safe Multiagent Learning With Soft Constrained Policy Optimization in Real Robot Control.

Shangding Gu, Dianye Huang, Muning Wen, Guang Chen, Alois Knoll

IEEE Trans. Ind. Informatics, September, 2024

RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation.

Dongzi Wang, Fangwei Zhong, Minglong Li, Muning Wen, Yuanxi Peng, Teng Li, Adam Yang

Neural Networks, 2024

HammerBench: Fine-Grained Function-Calling Evaluation in Real Mobile Device Scenarios.

Jun Wang, Jiamu Zhou, Muning Wen, Xiaoyun Mo, Haoyu Zhang, Qiqiang Lin, Cheng Jin, Xihuai Wang, Weinan Zhang, Qiuying Peng, Jun Wang

CoRR, 2024

OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models.

Jun Wang, Meng Fang, Ziyu Wan, Muning Wen, Jiachen Zhu, Anjie Liu, Ziqin Gong, Yan Song, Lei Chen, Lionel M. Ni, Linyi Yang, Ying Wen, Weinan Zhang

CoRR, 2024

Hammer: Robust Function-Calling for On-Device Language Models via Function Masking.

Qiqiang Lin, Muning Wen, Qiuying Peng, Guanyu Nie, Junwei Liao, Jun Wang, Xiaoyun Mo, Jiamu Zhou, Cheng Cheng, Yin Zhao, Jun Wang, Weinan Zhang

CoRR, 2024

P3: A Policy-Driven, Pace-Adaptive, and Diversity-Promoted Framework for Optimizing LLM Training.

Yingxuan Yang, Huayi Wang, Muning Wen, Weinan Zhang

CoRR, 2024

Reinforcing Language Agents via Policy Optimization with Action Decomposition.

Muning Wen, Ziyu Wan, Weinan Zhang, Jun Wang, Ying Wen

CoRR, 2024

Entropy-Regularized Token-Level Policy Optimization for Large Language Models.

Muning Wen, Cheng Deng, Jun Wang, Weinan Zhang, Ying Wen

CoRR, 2024

TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision.

Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Reinforcing LLM Agents via Policy Optimization with Action Decomposition.

Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AlphaZero-Like Tree-Search can Guide Large Language Model Decoding and Training.

Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, Jun Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Large sequence models for sequential decision-making: a survey.

Muning Wen, Runji Lin, Hanjing Wang, Yaodong Yang, Ying Wen, Luo Mai, Jun Wang, Hai-Feng Zhang, Weinan Zhang

Frontiers Comput. Sci., December, 2023

Offline Pre-trained Multi-agent Decision Transformer.

Linghui Meng, Muning Wen, Chenyang Le, Xiyun Li, Dengpeng Xing, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Yaodong Yang, Bo Xu

Mach. Intell. Res., April, 2023

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang

J. Mach. Learn. Res., 2023

Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

Xidong Feng, Ziyu Wan, Muning Wen, Ying Wen, Weinan Zhang, Jun Wang

CoRR, 2023

2022

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem.

Muning Wen, Jakub Grudzien Kuba, Runji Lin, Weinan Zhang, Ying Wen, Jun Wang, Yaodong Yang

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

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning.

Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen, Ying Wen, Fanglei Sun, Jun Wang, Yaodong Yang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks.

Linghui Meng, Muning Wen, Yaodong Yang, Chenyang Le, Xiyun Li, Weinan Zhang, Ying Wen, Haifeng Zhang, Jun Wang, Bo Xu

CoRR, 2021

Multi-Agent Constrained Policy Optimisation.

Shangding Gu, Jakub Grudzien Kuba, Muning Wen, Ruiqing Chen, Ziyan Wang, Zheng Tian, Jun Wang, Alois C. Knoll, Yaodong Yang

CoRR, 2021

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.

Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang

CoRR, 2021

Settling the Variance of Multi-Agent Policy Gradients.

Jakub Grudzien Kuba, Muning Wen, Linghui Meng, Shangding Gu, Haifeng Zhang, David Mguni, Jun Wang, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021