Muning Wen

According to our database, Muning Wen authored at least 20 papers between 2021 and 2024.

Collaborative distances:

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

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

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, Weinan Zhang

CoRR, 2024

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

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

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