1 code implementation • 29 Jan 2024 • Jie Li, Yulong Xia, Tongxin Yang, Fenglin Cai, Miao Wei, Zhiwei Zhang, Li Jiang
Index Terms-HICH, Deep learning, Intraparenchymal hemorrhage, named entity recognition, novel dataset
no code implementations • 2 Sep 2022 • Mingdong Wu, Fangwei Zhong, Yulong Xia, Hao Dong
For object rearrangement, the TarGF can be used in two ways: 1) For model-based planning, we can cast the target gradient into a reference control and output actions with a distributed path planner; 2) For model-free reinforcement learning, the TarGF is not only used for estimating the likelihood-change as a reward but also provides suggested actions in residual policy learning.