2021, Paper: "This paper provides a distributional analysis of the Tax Cuts and Jobs Act (TCJA), with implications for American households from changes to the individual income and corporate income ...
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 ...
Despite popularity among economists for their efficiency, energy pollution taxes enjoy less political support than standards-based regulation because of common perceptions that they burden the poor ...
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 ...
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer and N-step bootstrapping. Creating a new ...