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.LG2022
BYEL : Bootstrap Your Emotion Latent
Hyungjun Lee, Hwangyu Lim, Sejoon Lim
With the improved performance of deep learning, the number of studies trying to apply deep learning to human emotion analysis is increasing rapidly. But even with this trend going…