Guangzheng Hu

According to our database, Guangzheng Hu authored at least 9 papers between 2018 and 2024.

Collaborative distances:

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

2024

FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Game.

Guangzheng Hu, Yuanheng Zhu, Haoran Li, Dongbin Zhao

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

2023

Event-Triggered Communication Network With Limited-Bandwidth Constraint for Multi-Agent Reinforcement Learning.

Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao

IEEE Trans. Neural Networks Learn. Syst., August, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.

Guangzheng Hu, Haoran Li, Shasha Liu, Mingjun Ma, Yuanheng Zhu, Dongbin Zhao

CoRR, 2023

NeuronsGym: A Hybrid Framework and Benchmark for Robot Tasks with Sim2Real Policy Learning.

Haoran Li, Shasha Liu, Mingjun Ma, Guangzheng Hu, Yaran Chen, Dongbin Zhao

CoRR, 2023

NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks.

Guangzheng Hu, Haoran Li, Shasha Liu, Yuanheng Zhu, Dongbin Zhao

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Intelligent Fault Diagnosis for Large-Scale Rotating Machines Using Binarized Deep Neural Networks and Random Forests.

Huifang Li, Guangzheng Hu, Jianqiang Li, Mengchu Zhou

IEEE Trans Autom. Sci. Eng., 2022

MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning.

Menghan Wang, Yuchen Guo, Zhenqi Zhao, Guangzheng Hu, Yuming Shen, Mingming Gong, Philip H. S. Torr

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2020

Event-Triggered Multi-agent Reinforcement Learning with Communication under Limited-bandwidth Constraint.

Guangzheng Hu, Yuanheng Zhu, Dongbin Zhao, Mengchen Zhao, Jianye Hao

CoRR, 2020

2018

A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis.

Guangzheng Hu, Huifang Li, Yuanqing Xia, Lixuan Luo

Comput. Ind., 2018