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stat.ML2025
Accelerated Distributional Temporal Difference Learning with Linear Function Approximation
Kaicheng Jin, Yang Peng, Jiansheng Yang +1
In this paper, we study the finite-sample statistical rates of distributional temporal difference (TD) learning with linear function approximation. The purpose of distributional TD…
stat.ML2025
A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation
Yang Peng, Kaicheng Jin, Liangyu Zhang +1
In this paper, we study the finite-sample statistical rates of distributional temporal difference (TD) learning with linear function approximation. The aim of distributional TD lea…
stat.ML2023
Constructing Synthetic Treatment Groups without the Mean Exchangeability Assumption
Yuhang Zhang, Yue Liu, Zhihua Zhang
The purpose of this work is to transport the information from multiple randomized controlled trials to the target population where we only have the control group data. Previous wor…