research
∙
06/28/2023
Action and Trajectory Planning for Urban Autonomous Driving with Hierarchical Reinforcement Learning
Reinforcement Learning (RL) has made promising progress in planning and ...
share
research
∙
07/25/2022
A unified quantile framework reveals nonlinear heterogeneous transcriptome-wide associations
Transcriptome-wide association studies (TWAS) are powerful tools for ide...
research
∙
07/16/2022
A Flexible Zero-Inflated Poisson-Gamma model with application to microbiome read counts
In microbiome studies, it is of interest to use a sample from a populati...
research
∙
02/12/2022
End-to-end Reinforcement Learning of Robotic Manipulation with Robust Keypoints Representation
We present an end-to-end Reinforcement Learning(RL) framework for roboti...
research
∙
10/22/2019
Integrated Quantile RAnk Test (iQRAT) for gene-level associations in sequencing studies
Testing gene-based associations is the fundamental approach to identify ...
research
∙
10/14/2019
Gaussian Processes with Errors in Variables: Theory and Computation
Covariate measurement error in nonparametric regression is a common prob...
research
∙
09/16/2019
Improved Semiparametric Analysis of Polygenic Gene-Environment Interactions in Case-Control Studies
Standard logistic regression analysis of case-control data has low power...
research
∙
11/13/2017