Shiguang Wu

According to our database, Shiguang Wu authored at least 16 papers between 2020 and 2023.

Collaborative distances:

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

2023

Attention Enhanced Reinforcement Learning for Multi agent Cooperation.

Zhiqiang Pu, Huimu Wang, Zhen Liu, Jianqiang Yi, Shiguang Wu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed.

Shiguang Wu, Zhiqiang Pu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang

IEEE Trans. Ind. Informatics, 2023

Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation.

Wei Yang, Zhengru Fang, Tianle Zhang, Shiguang Wu, Chi Lu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning.

Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang

CoRR, 2022

Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning.

Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the International Joint Conference on Neural Networks, 2022

Multi-Agent Local Information Reconstruction for Situational Cognition.

Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi

Proceedings of the International Joint Conference on Neural Networks, 2022

Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems.

Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang

Proceedings of the International Joint Conference on Neural Networks, 2022

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems.

Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration.

Zezhi Sui, Zhiqiang Pu, Jianqiang Yi, Shiguang Wu

IEEE Trans. Neural Networks Learn. Syst., 2021

Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments.

Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework.

Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Multi-Robot Coverage Path Planning based on Deep Reinforcement Learning.

Xiaolin Zhou, Xiaojie Liu, Xingwei Wang, Shiguang Wu, Mingyang Sun

Proceedings of the 24th IEEE International Conference on Computational Science and Engineering, 2021

Multi-robot Dynamic Task Allocation Based on Improved Auction Algorithm.

Shiguang Wu, Xiaojie Liu, Xingwei Wang, Xiaolin Zhou, Mingyang Sun

Proceedings of the 6th International Conference on Automation, 2021

2020

Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy.

Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Multi-agent Cooperation and Competition with Two-Level Attention Network.

Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks.

Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Jinlin Sun, Tianyi Xiong, Tenghai Qiu

Proceedings of the 16th IEEE International Conference on Automation Science and Engineering, 2020