Jianqing Fan

activity

20242026

Q

-Learning for Offline Non-Stationary Reinforcement Learning

2 citations · 2 across the 5 of their papers we have counts for

collaborators

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3 papers · 1 filter

stat.ML2025★ 2 cited

Deep Transfer $Q$ -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…

stat.ML2024

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel

Jinhang Chai, Jianqing Fan

The problem of structured matrix estimation has been studied mostly under strong noise dependence assumptions. This paper considers a general framework of noisy low-rank-plus-spars…

Deep Transfer Q-Learning for Offline Non-Stationary Reinforcement Learning

Localized exploration in contextual dynamic pricing achieves dimension-free regret

Structured Matrix Learning under Arbitrary Entrywise Dependence and Estimation of Markov Transition Kernel

Deep Transfer $Q$ -Learning for Offline Non-Stationary Reinforcement Learning