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2020 – today
- 2024
[c6]Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
Measuring Policy Distance for Multi-Agent Reinforcement Learning. AAMAS 2024: 834-842- [c5]Qi'ang Cai, Xiaolin Ai, Tianqi Liu, Zhiqiang Pu, Jianqiang Yi, Feng Lv:
Neural Formation A*: A Knowledge-Data Hybrid-Driven Path Planning Algorithm for Multi-agent Formation Cooperation. ICANN (4) 2024: 276-290 - [c4]Tianyi Hu, Xiaolin Ai, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi:
Heterogeneous Observation Aggregation Network for Multi-agent Reinforcement Learning. IJCNN 2024: 1-9 - [i5]Tianyi Hu, Zhiqiang Pu, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
Measuring Policy Distance for Multi-Agent Reinforcement Learning. CoRR abs/2401.11257 (2024) - [i4]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai:
Self-Clustering Hierarchical Multi-Agent Reinforcement Learning with Extensible Cooperation Graph. CoRR abs/2403.18056 (2024) - [i3]Hao Ma, Tianyi Hu, Zhiqiang Pu, Boyin Liu, Xiaolin Ai, Yanyan Liang, Min Chen:
Coevolving with the Other You: Fine-Tuning LLM with Sequential Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2410.06101 (2024) - 2023
- [j4]Zhiqiang Pu
, Tianle Zhang, Xiaolin Ai, Tenghai Qiu, Jianqiang Yi:
A Deep Reinforcement Learning Approach Combined With Model-Based Paradigms for Multiagent Formation Control With Collision Avoidance. IEEE Trans. Syst. Man Cybern. Syst. 53(7): 4189-4204 (2023) - [c3]Qingxu Fu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. IJCNN 2023: 1-7 - [c2]Tianle Zhang, Zhen Liu, Zhiqiang Pu, Jianqiang Yi, Xiaolin Ai, Wanmai Yuan:
Learning Cooperative Policies with Graph Networks in Distributed Swarm Systems. IJCNN 2023: 1-8 - 2022
- [j3]Xiaolin Ai:
Fixed-time consensus disturbance rejection for high-order nonlinear multi-agent systems with input saturation. Trans. Inst. Meas. Control 44(12): 2443-2453 (2022) - [i2]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Xiaolin Ai, Wanmai Yuan:
Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. CoRR abs/2208.07753 (2022) - [i1]Qingxu Fu, Xiaolin Ai, Jianqiang Yi, Tenghai Qiu, Wanmai Yuan, Zhiqiang Pu:
Learning Heterogeneous Agent Cooperation via Multiagent League Training. CoRR abs/2211.11616 (2022) - 2020
- [j2]Xiaolin Ai:
Adaptive robust bipartite consensus of high-order uncertain multi-agent systems over cooperation-competition networks. J. Frankl. Inst. 357(3): 1813-1831 (2020)
2010 – 2019
- 2017
- [j1]Yongbo Chen, Zhenyue Jia, Xiaolin Ai, Di Yang, Jianqiao Yu:
A modified two-part wolf pack search algorithm for the multiple traveling salesmen problem. Appl. Soft Comput. 61: 714-725 (2017) - [c1]Zhenyue Jia, Jianqiao Yu, Xiaolin Ai:
Integral Backstepping Control for Quadrotor Helicopters. ICCAE 2017: 227-231
Coauthor Index
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