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2020 – today
- 2024
[j6]Lian Hu, Kang Hou, Jie He, Zhongxian Man, Jiasheng Xie, Pei Wang, Tuanpeng Tu, Ruitao Gao, Le Zi, Yufeng Huang, Mingjin Li, Shuaiqi Ding, Hong Zhang, Shanqi Liu, Mengdong Yue, Xiwen Luo, Dawen Feng:
Multi-constraint improved RS path planning method for unmanned rice direct seeding machine. Comput. Electron. Agric. 224: 109236 (2024)- [j5]Weihao Tan
, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An:
TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning. Int. J. Artif. Intell. Robotics Res. 1(2): 2450004:1-2450004:21 (2024) - [j4]Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Jun Chen, Yao Tong, Junjie Cao, Yong Liu:
Learning Multi-Agent Cooperation via Considering Actions of Teammates. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11553-11564 (2024) - [c10]Jongwon Ra, Mengmeng Wang, Jianbiao Mei, Shanqi Liu, Yu Yang, Yong Liu:
Exploit Spatiotemporal Contextual Information for 3D Single Object Tracking via Memory Networks. 3DV 2024: 842-851 - [c9]Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu:
Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution. ICLR 2024 - [c8]Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An:
True Knowledge Comes from Practice: Aligning Large Language Models with Embodied Environments via Reinforcement Learning. ICLR 2024 - [i7]Weihao Tan, Wentao Zhang, Shanqi Liu, Longtao Zheng, Xinrun Wang, Bo An:
True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning. CoRR abs/2401.14151 (2024) - 2023
- [j3]Shanqi Liu, Hongjun Gao, Huijie Qiao, Nan Lu:
The Onsager-Machlup action functional for McKean-Vlasov stochastic differential equations. Commun. Nonlinear Sci. Numer. Simul. 121: 107203 (2023) - [j2]Weiwei Liu, Jing Wei, Shanqi Liu, Yudi Ruan, Kexin Zhang, Yang Jiang, Yong Liu:
Expert demonstrations guide reward decomposition for multi-agent cooperation. Neural Comput. Appl. 35(27): 19847-19863 (2023) - [c7]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2023: 31-39 - [c6]Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan:
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. ICML 2023: 38272-38285 - [c5]Ruoyu Wu, Guanzhong Tian, Longhua Ma, Zhishan Li, Shanqi Liu:
Lightweight Cryptography Implementation for Internet of Things Network on FPGA. SMC 2023: 3027-3032 - [i6]Shanqi Liu, Yujing Hu, Runze Wu, Dong Xing, Yu Xiong, Changjie Fan, Kun Kuang, Yong Liu:
Adaptive Value Decomposition with Greedy Marginal Contribution Computation for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2302.06872 (2023) - [i5]Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan:
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification. CoRR abs/2306.10944 (2023) - [i4]Shanqi Liu, Weiwei Liu, Wenzhou Chen, Guanzhong Tian, Yong Liu:
Multi-Agent Cooperation via Unsupervised Learning of Joint Intentions. CoRR abs/2307.02200 (2023) - 2022
- [c4]Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian:
CICC: Channel Pruning via the Concentration of Information and Contributions of Channels. BMVC 2022: 243 - 2021
- [j1]Shanqi Liu, Junjie Cao, Yujie Wang, Wenzhou Chen, Yong Liu:
Self-play reinforcement learning with comprehensive critic in computer games. Neurocomputing 449: 207-213 (2021) - [c3]Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. AAAI 2021: 3172-3180 - [c2]Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu:
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. IROS 2021: 4777-4784 - [c1]Weiwei Liu, Shanqi Liu, Jian Yang, Yong Liu:
Learning Intra-group Cooperation in Multi-agent Systems. M2VIP 2021: 688-692 - [i3]Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou:
One-shot Face Reenactment Using Appearance Adaptive Normalization. CoRR abs/2102.03984 (2021) - 2020
- [i2]Shanqi Liu, Licheng Wen, Jinhao Cui, Xuemeng Yang, Junjie Cao, Yong Liu:
Moving Forward in Formation: A Decentralized Hierarchical Learning Approach to Multi-Agent Moving Together. CoRR abs/2011.02373 (2020) - [i1]Shanqi Liu, Junjie Cao, Wenzhou Chen, Licheng Wen, Yong Liu:
HILONet: Hierarchical Imitation Learning from Non-Aligned Observations. CoRR abs/2011.02671 (2020)
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