no code implementations • 28 Jul 2023 • Xueming Liu, Kunda Liu, Tianjiang Hu, Qingrui Zhang
Based on the generation strategy of desired formation pattern and relative localization estimates, a cooperative formation tracking control scheme is proposed, which enables the formation geometric center to asymptotically converge to the moving target.
1 code implementation • 7 Dec 2022 • Zheng Zhang, Qingrui Zhang, Bo Zhu, Xiaohan Wang, Tianjiang Hu
In this paper, a novel algorithm named EASpace (Enhanced Action Space) is proposed, which formulates macro actions in an alternative form to accelerate the learning process using multiple available sub-optimal expert policies.
no code implementations • 9 Mar 2022 • Zheng Zhang, Xiaohan Wang, Qingrui Zhang, Tianjiang Hu
It is shown by numerical simulations that the proposed hybrid design outperforms the pursuit policies either learned from vanilla reinforcement learning or designed by the potential field method.