Pu Feng

According to our database, Pu Feng authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

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

Vision-fused Attack: Advancing Aggressive and Stealthy Adversarial Text against Neural Machine Translation.

Yanni Xue, Haojie Hao, Jiakai Wang, Qiang Sheng, Renshuai Tao, Yu Liang, Pu Feng, Xianglong Liu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

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

MIR2: Towards Provably Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization.

Simin Li, Ruixiao Xu, Jun Guo, Pu Feng, Jiakai Wang, Aishan Liu, Yaodong Yang, Xianglong Liu, Weifeng Lv

CoRR, 2023

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks.

Simin Li, Shuing Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

CoRR, 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

Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks.

Simin Li, Shuning Zhang, Gujun Chen, Dong Wang, Pu Feng, Jiakai Wang, Aishan Liu, Xin Yi, Xianglong Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

AR-TV and AR-Diànshì: Cultural Differences in Users' Preferences for Augmented Reality Television.

Irina Popovici, Radu-Daniel Vatavu, Pu Feng, Wenjun Wu

Proceedings of the IMX '21: ACM International Conference on Interactive Media Experiences, 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