Yunlong Hou

Yunlong Hou

PhD Student

I am a PhD student at the Department of Mathematics, National University of Singapore, and I am previleged to be supervised by Prof. Vincent Y. F. Tan. Previously, I received my BS in Mathematics from Beijing Normal University, advised by Prof. Huajie Chen and Prof. Shihua Zhang.

Research

I am broadly interersted in both the theoretical limits and emprical applications of reinforcement learning and online learning (e.g., multi-armed bandits), with current emphasis on theoretically-guaranteed algorithmic design in Large Language Models. Feel free to reach out if you share similar interests!

I am currently seeking postdoctoral positions. Please feel free to reach out!

Theoretically-grounded Applications of Reinforcement Learning

  • Development of practical and provably sound reinforcement learning methods for decision-making during model training and deployment.

Reinforcement Learning and Bandit Algorithm

  • Characterization of fundamental limits of decision-making under practical modeling assumptions (e.g., stationary v.s. non-stationary, single- v.s. multi-agent), possibly subject to realistic constraints (e.g., efficiency or risk requirements).
  • Design of provable algorithms that approach the fundamental performance limits.

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