Integral Backstepping Control for Quadrotor Helicopters. - Zhenyue Jia; Jianqiao Yu; Xiaolin Ai (ICCAE, 2017)

A modified two-part wolf pack search algorithm for the multiple traveling salesmen problem. - Yongbo Chen 001; Zhenyue Jia; Xiaolin Ai; Di Yang; Jianqiao Yu (Appl. Soft Comput., 2017)

Adaptive robust bipartite consensus of high-order uncertain multi-agent systems over cooperation-competition networks. - Xiaolin Ai (J. Frankl. Inst., 2020)

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)

Learning Heterogeneous Agent Cooperation via Multiagent League Training. - Qingxu Fu; Xiaolin Ai; Jianqiang Yi; Tenghai Qiu; Wanmai Yuan; Zhiqiang Pu (CoRR, 2022)

Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation. - Xiaolin Ai (Trans. Inst. Meas. Control, 2022)

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan (IJCNN, 2023)

Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. - Tianle Zhang; Zhen Liu 020; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan (IJCNN, 2023)

A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance. - Zhiqiang Pu; Tianle Zhang; Xiaolin Ai; Tenghai Qiu; Jianqiang Yi (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Measuring Policy Distance for Multi-Agent Reinforcement Learning. - Tianyi Hu; Zhiqiang Pu; Xiaolin Ai; Tenghai Qiu; Jianqiang Yi (AAMAS, 2024)

Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. - Qi'ang Cai; Xiaolin Ai; Tianqi Liu; Zhiqiang Pu; Jianqiang Yi; Feng Lv (ICANN (4), 2024)

Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. - Tianyi Hu; Xiaolin Ai; Zhiqiang Pu; Tenghai Qiu; Jianqiang Yi (IJCNN, 2024)

Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning. - Hao Ma; Tianyi Hu; Zhiqiang Pu; Boyin Liu; Xiaolin Ai; Yanyan Liang 001; Min Chen (NeurIPS, 2024)

An Affine-Based Maneuver Control Method for Multi-Agent Cooperative Transportation System Over Switching Formations. - Tianqi Liu; Xiaolin Ai; Zhiqiang Pu; Feng Lv (SMC, 2024)

Vision-Based Generic Potential Function for Policy Alignment in Multi-Agent Reinforcement Learning. - Hao Ma; Shijie Wang 006; Zhiqiang Pu; Siyao Zhao; Xiaolin Ai (AAAI, 2025)

OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning. - Jinyuan Feng; Zhiqiang Pu; Tianyi Hu; Dongmin Li; Xiaolin Ai; Huimu Wang (CoRR, 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., 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., 2025)

Co-Opetition Network-Based Group Decision-Making Under Incomplete Information. - Xiwen Ma; Zhihuan Hu; Kairong Duan; Xiaolin Ai; Wei Xie 009; Jingsong Yang; Wei-Dong Zhang 004 (IEEE Trans. Syst. Man Cybern. Syst., 2025)