2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft
Xabi Azagirre, Akshay Balwally, Guillaume Candeli +16
To better match drivers to riders in our ridesharing application, we revised Lyft's core matching algorithm. We use a novel online reinforcement learning approach that estimates th…
cs.CV2022
PU-MFA : Point Cloud Up-sampling via Multi-scale Features Attention
Hyungjun Lee, Sejoon Lim
Recently, research using point clouds has been increasing with the development of 3D scanner technology. According to this trend, the demand for high-quality point clouds is increa…