Xin Yu

According to our database, Xin Yu authored at least 15 papers between 2021 and 2025.

Collaborative distances:

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

2025

Symmetry-Informed MARL: A Decentralized and Cooperative UAV Swarm Control Approach for Communication Coverage.

Rongye Shi, Xin Yu, Yandong Wang, Yongkai Tian, Zhenyu Liu, Wenjun Wu, Xiao-Ping Zhang, Manuela M. Veloso

IEEE Trans. Mob. Comput., September, 2025

Lyapunov-Informed Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks.

Pu Feng, Rongye Shi, Size Wang, Qizhen Wu, Xin Yu, Wenjun Wu

IEEE Trans Autom. Sci. Eng., 2025

Attacking cooperative multi-agent reinforcement learning by adversarial minority influence.

Simin Li, Jun Guo, Jingqiao Xiu, Yuwei Zheng, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Bo An, Wenjun Wu, Xianglong Liu

Neural Networks, 2025

2024

Safe and Efficient Multi-Agent Collision Avoidance With Physics-Informed Reinforcement Learning.

Pu Feng, Rongye Shi, Size Wang, Junkang Liang, Xin Yu, Simin Li, Wenjun Wu

IEEE Robotics Autom. Lett., December, 2024

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks.

Pu Feng, Junkang Liang, Size Wang, Xin Yu, Rongye Shi, Wenjun Wu

CoRR, 2024

Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks.

Pu Feng, Junkang Liang, Size Wang, Xin Yu, Xin Ji, Yiting Chen, Kui Zhang, Rongye Shi, Wenjun Wu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning.

Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game.

Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy.

Tianhao Peng, Wenjun Wu, Haitao Yuan, Zhifeng Bao, Zhao Pengrui, Xin Yu, Xuetao Lin, Yu Liang, Yanjun Pu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Exploiting Hierarchical Symmetry in Multi-Agent Reinforcement Learning.

Yongkai Tian, Xin Yu, Yirong Qi, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi, Jie Luo

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Leveraging Partial Symmetry for Multi-Agent Reinforcement Learning.

Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Simin Li, Shuhao Liao, Wenjun Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence.

Simin Li, Jun Guo, Jingqiao Xiu, Pu Feng, Xin Yu, Jiakai Wang, Aishan Liu, Wenjun Wu, Xianglong Liu

CoRR, 2023

MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup.

Pu Feng, Xin Yu, Junkang Liang, Wenjun Wu, Yongkai Tian

Proceedings of the Advances in Swarm Intelligence - 14th International Conference, 2023

ESP: Exploiting Symmetry Prior for Multi-Agent Reinforcement Learning.

Xin Yu, Rongye Shi, Pu Feng, Yongkai Tian, Jie Luo, Wenjun Wu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021

Swarm Inverse Reinforcement Learning for Biological Systems.

Xin Yu, Wenjun Wu, Pu Feng, Yongkai Tian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021