Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
This work was supported by the National Natural Science Foundation of China under Grant No. T2350005, the Fundamental Research Funds for the Central Universities, Sun Yat-sen University under Grant No. 23xkjc008, and in part by the Young Faculty Development Program of the Fundamental Research Funds for the Central Universities under Grant No. 24qnpy206, Sun Yat-sen University, School of Electronics and Communication Engineering.Gelu Liu, Teng Wang, Zhijie Wu, Junliang Wu, Songyuan Li, Xiangwei Zhu are with the School of Electronics and Communication Engineering and Shenzhen Key Laboratory of Navigation and Communication Integration, Sun Yat-sen University, Shenzhen 518107, China (e-mail: liuglu@mail2.sysu.edu.cn; wangt556@mail.sysu.edu.cn; wuzhj39@mail2.sysu.edu.cn; wujliang9@mail2.sysu.edu.cn; lisy287@mail. sysu.edu.cn; zhuxw666@mail.sysu.edu.cn)
1
0
3
Forget hand-tuned controllers: a deep RL policy trained in simulation can directly control a real bicycle, achieving impressive balance and tracking performance.