Jinhang Chai

activity

20242026

Q

-Learning for Offline Non-Stationary Reinforcement Learning

2 citations · 3 across the 9 of their papers we have counts for

collaborators

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2 papers · 1 filter

stat.ML2025★ 1 cited

Transition Transfer $Q$ -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 $Q$ -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…

Transition Transfer Q-Learning for Composite Markov Decision Processes

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

Transition Transfer $Q$ -Learning for Composite Markov Decision Processes

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