Runzhe Wu

I am 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 the mentorship of Weinan Zhang and Yong Yu.

If you would like to chat with me, please drop me an email! My email address is rw646 at cornell dot edu.

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Preprints
Diffusing States and Matching Scores: A New Framework for Imitation Learning
Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
ArXiv
[code]
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics
Runzhe Wu*, Ayush Sekhari*, Akshay Krishnamurthy, Wen Sun
ArXiv
Publications
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 appeared at the ILHF & MFPL Workshop @ ICML, 2023)
[code]
Selective Sampling and Imitation Learning via Online Regression
(Alphabetical order) Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
NeurIPS, 2023 (Also appeared 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 Seminar, Nov 19, 2024   [slides]
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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