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ORCIDRunzhe Wu
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2020 – today
- 2024
[c6]Runzhe Wu, Wen Sun:
Making RL with Preference-based Feedback Efficient via Randomization. ICLR 2024- [i7]Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun:
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics. CoRR abs/2406.11810 (2024) - 2023
- [j1]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24: 150:1-150:12 (2023) - [c5]Runzhe Wu, Masatoshi Uehara, Wen Sun:
Distributional Offline Policy Evaluation with Predictive Error Guarantees. ICML 2023: 37685-37712 - [c4]Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu:
Contextual Bandits and Imitation Learning with Preference-Based Active Queries. NeurIPS 2023 - [c3]Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu:
Selective Sampling and Imitation Learning via Online Regression. NeurIPS 2023 - [c2]Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun:
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. NeurIPS 2023 - [i6]Runzhe Wu, Masatoshi Uehara, Wen Sun:
Distributional Offline Policy Evaluation with Predictive Error Guarantees. CoRR abs/2302.09456 (2023) - [i5]Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun:
The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. CoRR abs/2305.15703 (2023) - [i4]Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu:
Selective Sampling and Imitation Learning via Online Regression. CoRR abs/2307.04998 (2023) - [i3]Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu:
Contextual Bandits and Imitation Learning via Preference-Based Active Queries. CoRR abs/2307.12926 (2023) - [i2]Runzhe Wu, Wen Sun:
Making RL with Preference-based Feedback Efficient via Randomization. CoRR abs/2310.14554 (2023) - 2021
- [c1]Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang:
Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration. NeurIPS 2021: 25439-25451 - [i1]Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang:
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR abs/2106.07551 (2021)
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