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 | 97 | 2020 |
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 | 23 | 2022 |
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 | 16 | 2023 |
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 | 15 | 2022 |
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 | 12 | 2020 |
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 | 10 | 2022 |
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 | 8 | 2021 |
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 | 7 | 2022 |
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 | 7 | 2021 |
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 | 7 | 2020 |
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 | 4 | 2024 |
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 | 4 | 2019 |
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 | 2 | 2022 |
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 | 2 | 2020 |
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 | 1 | 2022 |
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 | 1 | 2022 |
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 |