2 papers
cs.LG2025
Confounded Causal Imitation Learning with Instrumental Variables
Yan Zeng, Shenglan Nie, Feng Xie +3
Imitation learning from demonstrations usually suffers from the confounding effects of unmeasured variables (i.e., unmeasured confounders) on the states and actions. If ignoring th…
cs.CV2021
Multi-Scale Cost Volumes Cascade Network for Stereo Matching
Xiaogang Jia, Wei Chen, Zhengfa Liang +3
Stereo matching is essential for robot navigation. However, the accuracy of current widely used traditional methods is low, while methods based on CNN need expensive computational…