Xuyang Chen

I am currently a Postdoctoral Research Fellow in the Department of Electrical and Computer Engineering at the National University of Singapore.

I obtained my Ph.D. degree in Electrical and Computer Engineering from the National University of Singapore in 2025, supervised by Prof. Lin Zhao. I obtained my bachelor's degree in Applied Mathematics from the Hua Luogeng Honors Class at Beihang University in 2019.

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My research interests span all topics of Reinforcement Learning (RL). Building on a strong foundation in learning theory from my Ph.D., I work on understanding the fundamental mathematical principles underlying RL. I aim to leverage these theoretical insights to develop efficient algorithms that bridge the gap between theory and practice—designing methods that are backed by rigorous theoretical guarantees while demonstrating superior empirical performance. Currently, my research focuses on applying this approach to Offline RL, Preference-based RL, and Multi-Agent RL.

Selected Preprints

• Vipo: Value function inconsistency penalized offline reinforcement learning

  Xuyang Chen, Keyu Yan, Guojian Wang, Lin Zhao

  Paper code
• Taming OOD actions for offline reinforcement learning: An advantage-based approach

  Xuyang Chen, Keyu Yan, Wenhan Cao, Lin Zhao

  Paper Code