3 accepted papers
Reinforcement learning has facilitated agile locomotion in quadrupedal robots. However, most works remain highly dependent on the accuracy of simulation models in describing real-world robot dynamics. Consequently, policy transfer from simulation to hardware is still hindered by the well-known sim-t…
AI-for-science approaches have been applied to solve scientific problems (e.g., nuclear fusion, ecology, genomics, meteorology) and have achieved highly promising results. Spatial precipitation downscaling is one of the most important meteorological problem and urgently requires the participation of…
In contrast to great success of memory-consuming face editing methods at a low resolution, to manipulate high-resolution (HR) facial images, \ie, typically larger than $768^2$ pixels, with very limited memory is still challenging. This is due to the reasons of 1) intractable huge demand of memory; 2…