most citedDeep Transfer -Learning for Offline Non-Stationary Reinforcement Learning

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

stat.ML2025★ 1 cited

Transition Transfer -Learning for Composite Markov Decision Processes

Jinhang Chai, Elynn Chen, Lin Yang

To bridge the gap between empirical success and theoretical understanding in transfer reinforcement learning (RL), we study a principled approach with provable performance guarante…

stat.ML2025★ 2 cited

Deep Transfer -Learning for Offline Non-Stationary Reinforcement Learning

Jinhang Chai, Elynn Chen, Jianqing Fan

In dynamic decision-making scenarios across business and healthcare, leveraging sample trajectories from diverse populations can significantly enhance reinforcement learning (RL) p…

stat.ME2024

Factor Augmented Matrix Regression

Elynn Chen, Jianqing Fan, Xiaonan Zhu

We introduce \underline{F}actor-\underline{A}ugmented \underline{Ma}trix \underline{R}egression (FAMAR) to address the growing applications of matrix-variate data and their associa…