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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…