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2020 – today
- 2024
[i4]Jiaxu Wang, Qiang Zhang, Jingkai Sun, Jiahang Cao, Yecheng Shao, Renjing Xu:
Reinforcement Learning with Generalizable Gaussian Splatting. CoRR abs/2404.07950 (2024)- [i3]Jiahang Cao, Qiang Zhang, Ziqing Wang, Jiaxu Wang, Hao Cheng, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement Learning. CoRR abs/2406.02013 (2024) - [i2]Jiahang Cao, Qiang Zhang, Jingkai Sun, Jiaxu Wang, Hao Cheng, Yulin Li, Jun Ma, Yecheng Shao, Wen Zhao, Gang Han, Yijie Guo, Renjing Xu:
Mamba Policy: Towards Efficient 3D Diffusion Policy with Hybrid Selective State Models. CoRR abs/2409.07163 (2024) - 2022
- [j2]Yongbin Jin
, Xianwei Liu, Yecheng Shao, Hongtao Wang, Wei Yang:
High-speed quadrupedal locomotion by imitation-relaxation reinforcement learning. Nat. Mac. Intell. 4(12): 1198-1208 (2022) - [j1]Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, Wei Yang:
Learning Free Gait Transition for Quadruped Robots Via Phase-Guided Controller. IEEE Robotics Autom. Lett. 7(2): 1230-1237 (2022) - [i1]Yecheng Shao, Yongbin Jin, Xianwei Liu, Weiyan He, Hongtao Wang, Wei Yang:
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller. CoRR abs/2201.00206 (2022)
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