Using geolocation data from millions of smartphones, we estimate consumer preferences for specific retail chains across income groups and regions. We show that accounting for distance endogeneity ...
To address these issues, we propose a novel Distributional Reinforcement Learning based navigation system that can work with onboard LiDAR and odometry sensors to generate arbitrary thrust commands in ...
DistVAE is a novel approach to distributional learning in the VAE framework, focusing on accurately capturing the underlying distribution of the observed dataset through a nonparametric quantile ...