Qingxu Fu - RankMe

19 papers A* 2B 2Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SeeUPO: Sequence-Level Agentic-RL with Convergence Guarantees. CoRR Tianyi Hu, Qingxu Fu, Yanxi Chen, Zhaoyang Liu, Bolin Ding
2026	A*	`conf`	Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning. AAAI Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu
2025	J	`jnl`	A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan
2025	J	`jnl`	AgentEvolver: Towards Efficient Self-Evolving Agent System. CoRR Yunpeng Zhai, Shuchang Tao, Cheng Chen, Anni Zou, Ziqian Chen, Qingxu Fu, Shinji Mai, Li Yu, Jiaji Deng, Zouying Cao, Zhaoyang Liu, Bolin Ding, Jingren Zhou
2025	J	`jnl`	Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph. IEEE Trans. Emerg. Top. Comput. Intell. Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai
2025	J	`jnl`	Taming the Judge: Deconflicting AI Feedback for Stable Reinforcement Learning. CoRR Boyin Liu, Zhuo Zhang, Sen Huang, Lipeng Xie, Qingxu Fu, Haoran Chen, Li Yu, Tianyi Hu, Zhaoyang Liu, Bolin Ding, Dongbin Zhao
2025	J	`jnl`	Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning. CoRR Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu
2024	J	`jnl`	Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions. IEEE Trans. Fuzzy Syst. Qingxu Fu, Zhiqiang Pu, Yi Pan, Tenghai Qiu, Jianqiang Yi
2024	J	`jnl`	Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems. CoRR Qingxu Fu, Zhiqiang Pu, Min Chen, Tenghai Qiu, Jianqiang Yi
2024	J	`jnl`	Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph. CoRR Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai
2023	B	`conf`	Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. IJCNN Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan
2022	B	`conf`	A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. IJCNN Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan
2022	J	`jnl`	A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. CoRR Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Wanmai Yuan
2022	A*	`conf`	Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. AAAI Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu
2022	J	`jnl`	Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. CoRR Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu
2022	J	`jnl`	Learning Heterogeneous Agent Cooperation via Multiagent League Training. CoRR Qingxu Fu, Xiaolin Ai, Jianqiang Yi, Tenghai Qiu, Wanmai Yuan, Zhiqiang Pu
2022	J	`jnl`	Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. CoRR Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan
2020	J	`jnl`	Learning an Adaptive Model for Extreme Low-light Raw Image Processing. CoRR Qingxu Fu, Xiaoguang Di, Yu Zhang
2020	J	`jnl`	Learning an adaptive model for extreme low-light raw image processing. IET Image Process. Qingxu Fu, Xiaoguang Di, Yu Zhang