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Shiguang Wu 0001
Person information
- affiliation: Chinese Academy of Sciences, Institute of Automation, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
Other persons with the same name
- Shiguang Wu 0002
— Tsinghua University, Department of Electronic Engineering, Beijing, China
- Shiguang Wu 0003
— Shandong University, Qingdao, China
- Shiguang Wu 0004 — Huawei, Noah's Ark Laboratory, China
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2020 – today
- 2023
- [j3]Shiguang Wu
, Zhiqiang Pu
, Tenghai Qiu, Jianqiang Yi
, Tianle Zhang
:
Deep-Reinforcement-Learning-Based Multitarget Coverage With Connectivity Guaranteed. IEEE Trans. Ind. Informatics 19(1): 121-132 (2023) - [j2]Zhiqiang Pu
, Huimu Wang
, Zhen Liu
, Jianqiang Yi
, Shiguang Wu:
Attention Enhanced Reinforcement Learning for Multi agent Cooperation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8235-8249 (2023) - [c12]Wei Yang
, Zhengru Fang
, Tianle Zhang
, Shiguang Wu
, Chi Lu
:
Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation. ACM Multimedia 2023: 6369-6378 - 2022
- [c11]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu:
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. AAAI 2022: 9341-9349 - [c10]Yiqun Chen, Wei Yang, Tianle Zhang, Shiguang Wu, Hongxing Chang:
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems. IJCNN 2022: 1-7 - [c9]Shiguang Wu, Zhiqiang Pu, Tianle Zhang, Tenghai Qiu, Jianqiang Yi:
Multi-Agent Local Information Reconstruction for Situational Cognition. IJCNN 2022: 1-7 - [c8]Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Intrinsic Reward with Peer Incentives for Cooperative Multi-Agent Reinforcement Learning. IJCNN 2022: 1-7 - [i2]Qingxu Fu, Tenghai Qiu, Jianqiang Yi, Zhiqiang Pu, Shiguang Wu:
Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. CoRR abs/2203.06416 (2022) - [i1]Yiqun Chen, Hangyu Mao, Tianle Zhang, Shiguang Wu, Bin Zhang, Jianye Hao, Dong Li, Bin Wang, Hongxing Chang:
PTDE: Personalized Training with Distillated Execution for Multi-Agent Reinforcement Learning. CoRR abs/2210.08872 (2022) - 2021
- [j1]Zezhi Sui
, Zhiqiang Pu
, Jianqiang Yi
, Shiguang Wu:
Formation Control With Collision Avoidance Through Deep Reinforcement Learning Using Model-Guided Demonstration. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2358-2372 (2021) - [c7]Shiguang Wu, Xiaojie Liu, Xingwei Wang, Xiaolin Zhou, Mingyang Sun:
Multi-robot Dynamic Task Allocation Based on Improved Auction Algorithm. CACRE 2021: 57-61 - [c6]Xiaolin Zhou, Xiaojie Liu, Xingwei Wang, Shiguang Wu, Mingyang Sun:
Multi-Robot Coverage Path Planning based on Deep Reinforcement Learning. CSE 2021: 35-42 - [c5]Shiguang Wu, Zhiqiang Pu, Zhen Liu, Tenghai Qiu, Jianqiang Yi, Tianle Zhang:
Multi-target Coverage with Connectivity Maintenance using Knowledge-incorporated Policy Framework. ICRA 2021: 8772-8778 - [c4]Shiguang Wu, Tenghai Qiu, Zhiqiang Pu, Jianqiang Yi:
Multi-agent Collaborative Learning with Relational Graph Reasoning in Adversarial Environments. IROS 2021: 5596-5602 - 2020
- [c3]Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Jinlin Sun, Tianyi Xiong, Tenghai Qiu:
Adaptive Flocking of Multi-Agent Systems with Uncertain Nonlinear Dynamics and Unknown Disturbances Using Neural Networks. CASE 2020: 1090-1095 - [c2]Shiguang Wu, Zhiqiang Pu, Jianqiang Yi, Huimu Wang:
Multi-agent Cooperation and Competition with Two-Level Attention Network. ICONIP (2) 2020: 524-535 - [c1]Tianle Zhang, Zhen Liu, Shiguang Wu, Zhiqiang Pu, Jianqiang Yi:
Multi-Robot Cooperative Target Encirclement through Learning Distributed Transferable Policy. IJCNN 2020: 1-8
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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