Runzhe Wu

Hi, I am Runzhe Wu, a Ph.D. student in Computer Science at Cornell University where I am advised by Wen Sun. I focus on reinforcement learning.

Prior to Cornell, I obtained the Bachelor's degree in Computer Science from ACM Honors Class at Shanghai Jiao Tong University. While there, I worked at the APEX Lab under Weinan Zhang and Yong Yu.

You can reach me via email at rw646 at cornell dot edu.

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Publications
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
ICLR, 2025
[Code]
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
Runzhe Wu*, Ayush Sekhari*, Akshay Krishnamurthy, Wen Sun
ICLR, 2025 (Oral)
[Talk at RL Theory Seminars]
Making RL with Preference-based Feedback Efficient via Randomization
Runzhe Wu, Wen Sun
ICLR, 2024
Contextual Bandits and Imitation Learning via Preference-Based Active Queries
(Alphabetical order) Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
NeurIPS, 2023 (Also at the ILHF & MFPL Workshops @ ICML, 2023)
[Code]
Selective Sampling and Imitation Learning via Online Regression
(Alphabetical order) Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
NeurIPS, 2023 (Also at the ILHF Workshop @ ICML, 2023)
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning
Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun
NeurIPS, 2023
[Code]
Distributional Offline Policy Evaluation with Predictive Error Guarantees
Runzhe Wu, Masatoshi Uehara, Wen Sun
ICML, 2023
[Code]
MALib: A parallel framework for population-based multi-agent reinforcement learning
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
JMLR, 2023
[Website]   [Code]
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration
Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang
NeurIPS, 2021
Invited Talk
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
@ RL Theory Seminars (Nov 19, 2024)   [Slides]   [Recording]
Education
Cornell University

Ph.D. in Computer Science

Aug. 2022 - Present

Shanghai Jiao Tong University

B.Eng. in Computer Science

Sep. 2018 - Jun. 2022


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