Ph.D. Candidate
Department of Computer Science
University of Virginia
Office: 224 Rice Hall
Mail: 85 Engineer's Way, Charlottesville, VA, 22903
Email: shuzeliu AT virginia DOT edu

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Biography

Shuze Liu is a Ph.D. candidate in the Department of Computer Science at the University of Virginia advised by Professor Shangtong Zhang. His research interest is in Reinforcement Learning. He regularly serves on the Program Committee in major AI venues, e.g., ICML, NeurIPS, and AAAI. He spent some time at Alibaba Group as a Machine Learning Engineer. He received his M.S. from Yale University and his B.S. from Rensselaer Polytechnic Institute.

Publications

• Efficient Multi-Policy Evaluation for Reinforcement Learning.
  Shuze Liu, Claire Chen, Shangtong Zhang.
  arXiv:2408.08706, 2024.

• Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design.
  Shuze Liu, Shangtong Zhang.
  International Conference on Machine Learning (ICML), 2024.

• The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise.
  Shuze Liu, Shuhang Chen, Shangtong Zhang.
  arXiv:2401.07844, 2024.

• Optimal Pricing of Information.
  Shuze Liu, Weiran Shen, Haifeng Xu.
  ACM Conference on Economics and Computation (EC), 2021.

Program Committee

NeurIPS 2023, AAAI 2023, ICLR 2024, AISTATS 2024, ICML 2024.

Guest Lecture

Reinforcement Learning from Human Feedback (Fall 2024),
Reinforcement Learning (Spring 2024).

Teaching Assistant

Reinforcement Learning, Artificial Intelligence.