Wu, Runzhe

12 publications

ICLR 2025 Computationally Efficient RL Under Linear Bellman Completeness for Deterministic Dynamics Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun

ICLR 2025 Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun

ICLR 2024 Making RL with Preference-Based Feedback Efficient via Randomization Runzhe Wu, Wen Sun

NeurIPS 2023 Contextual Bandits and Imitation Learning with Preference-Based Active Queries Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

ICMLW 2023 Contextual Bandits and Imitation Learning with Preference-Based Active Queries Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

ICMLW 2023 Contextual Bandits and Imitation Learning with Preference-Based Active Queries Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

ICML 2023 Distributional Offline Policy Evaluation with Predictive Error Guarantees Runzhe Wu, Masatoshi Uehara, Wen Sun

MLOSS 2023 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, Yong Yu, Jun Wang, Weinan Zhang

NeurIPS 2023 Selective Sampling and Imitation Learning via Online Regression Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

ICMLW 2023 Selective Sampling and Imitation Learning via Online Regression Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

NeurIPS 2023 The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun

NeurIPS 2021 Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang