Qingxu Fu

According to our database, Qingxu Fu authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai

IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning.

Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu

CoRR, March, 2025

2024

Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions.

Qingxu Fu, Zhiqiang Pu, Yi Pan, Tenghai Qiu, Jianqiang Yi

IEEE Trans. Fuzzy Syst., May, 2024

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems.

Qingxu Fu, Zhiqiang Pu, Min Chen, Tenghai Qiu, Jianqiang Yi

CoRR, 2024

2023

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning.

Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Learning Heterogeneous Agent Cooperation via Multiagent League Training.

Qingxu Fu, Xiaolin Ai, Jianqiang Yi, Tenghai Qiu, Wanmai Yuan, Zhiqiang Pu

CoRR, 2022

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan

CoRR, 2022

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning.

Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan

Proceedings of the International Joint Conference on Neural Networks, 2022

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Learning an adaptive model for extreme low-light raw image processing.

Qingxu Fu, Xiaoguang Di, Yu Zhang

IET Image Process., 2020