most citedTransition Transfer -Learning for Composite Markov Decision Processes

1 citations · 1 across the 2 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

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.ML2024

Localized exploration in contextual dynamic pricing achieves dimension-free regret

Jinhang Chai, Yaqi Duan, Jianqing Fan +1

We study the problem of contextual dynamic pricing with a linear demand model. We propose a novel localized exploration-then-commit (LetC) algorithm which starts with a pure explor…