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Shiguang Wu
Shiguang Wu
Noah's Ark Lab, Huawei
在 ia.ac.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Formation control with collision avoidance through deep reinforcement learning using model-guided demonstration
Z Sui, Z Pu, J Yi, S Wu
IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2358-2372, 2020
972020
Attention enhanced reinforcement learning for multi agent cooperation
Z Pu, H Wang, Z Liu, J Yi, S Wu
IEEE Transactions on Neural Networks and Learning Systems 34 (11), 8235-8249, 2022
232022
Tree-planner: Efficient close-loop task planning with large language models
M Hu, Y Mu, X Yu, M Ding, S Wu, W Shao, Q Chen, B Wang, Y Qiao, ...
arXiv preprint arXiv:2310.08582, 2023
162023
Concentration network for reinforcement learning of large-scale multi-agent systems
Q Fu, T Qiu, J Yi, Z Pu, S Wu
Proceedings of the AAAI Conference on Artificial Intelligence 36 (9), 9341-9349, 2022
152022
Multi-robot cooperative target encirclement through learning distributed transferable policy
T Zhang, Z Liu, S Wu, Z Pu, J Yi
2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020
122020
Deep-reinforcement-learning-based multitarget coverage with connectivity guaranteed
S Wu, Z Pu, T Qiu, J Yi, T Zhang
IEEE Transactions on Industrial Informatics 19 (1), 121-132, 2022
102022
Multi-target coverage with connectivity maintenance using knowledge-incorporated policy framework
S Wu, Z Pu, Z Liu, T Qiu, J Yi, T Zhang
2021 IEEE International Conference on Robotics and Automation (ICRA), 8772-8778, 2021
82021
Ptde: Personalized training with distillated execution for multi-agent reinforcement learning
Y Chen, H Mao, T Zhang, S Wu, B Zhang, J Hao, D Li, B Wang, H Chang
arXiv preprint arXiv:2210.08872, 2022
72022
Multi-agent collaborative learning with relational graph reasoning in adversarial environments
S Wu, T Qiu, Z Pu, J Yi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
72021
Adaptive flocking of multi-agent systems with uncertain nonlinear dynamics and unknown disturbances using neural networks
S Wu, Z Pu, J Yi, J Sun, T Xiong, T Qiu
2020 IEEE 16th International Conference on Automation Science and …, 2020
72020
Articulated object manipulation with coarse-to-fine affordance for mitigating the effect of point cloud noise
S Ling, Y Wang, S Wu, Y Zhuang, T Xu, Y Li, C Liu, H Dong
arXiv preprint arXiv:2402.18699, 2024
42024
A hybrid formation control design for multi-robot system with obstacle avoidance
S Wu, Z Sui, J Yi, Z Pu
2019 Chinese Control Conference (CCC), 5829-5834, 2019
42019
Commander-Soldiers Reinforcement Learning for Cooperative Multi-Agent Systems
Y Chen, W Yang, T Zhang, S Wu, H Chang
2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022
22022
Multi-agent cooperation and competition with two-level attention network
S Wu, Z Pu, J Yi, H Wang
International Conference on Neural Information Processing, 524-535, 2020
22020
A double-observation policy learning framework for multi-target coverage with connectivity maintenance
Y Xu, Z Pu, S Wu, B Liu, J Yi, H Geng, X Chai
Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and …, 2022
12022
Intrinsic reward with peer incentives for cooperative multi-agent reinforcement learning
T Zhang, Z Liu, S Wu, Z Pu, J Yi
2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022
12022
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
F Ni, J Hao, S Wu, L Kou, J Liu, Y Zheng, B Wang, Y Zhuang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
2024
Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation
W Yang, Z Fang, T Zhang, S Wu, C Lu
Proceedings of the 31st ACM International Conference on Multimedia, 6369-6378, 2023
2023
Multiexperience-Assisted Efficient Multiagent Reinforcement Learning
T Zhang, Z Liu, J Yi, S Wu, Z Pu, Y Zhao
IEEE Transactions on Neural Networks and Learning Systems, 2023
2023
A comprehensive analysis method for short track speed skating state performance
W Yang, Y Chen, S Wu, H Chang
Third International Conference on Artificial Intelligence and …, 2022
2022
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