no code implementations • 30 May 2024 • Yilin Liu, Xuezhou Guo, Xinqi Wang, Fangzhou Du
Our project proposes an end-to-end 3D face alignment and reconstruction network.
no code implementations • 10 Mar 2024 • Chuning Zhu, Xinqi Wang, Tyler Han, Simon S. Du, Abhishek Gupta
This work proposes a novel class of models, i. e., generalized occupancy models (GOMs), that learn a distribution of successor features from a stationary dataset, along with a policy that acts to realize different successor features.
no code implementations • 18 Aug 2023 • Pengbo Hu, Ji Qi, Xingyu Li, Hong Li, Xinqi Wang, Bing Quan, Ruiyu Wang, Yi Zhou
Our approach succeeds in performance while significantly saving inference steps.
no code implementations • 1 Jun 2022 • Xinqi Wang, Qiwen Cui, Simon S. Du
This paper presents a systematic study on gap-dependent sample complexity in offline reinforcement learning.