Runzhe Wu

According to our database, Runzhe Wu authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Diffusing States and Matching Scores: A New Framework for Imitation Learning.

Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun

CoRR, 2024

Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics.

Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun

CoRR, 2024

Making RL with Preference-based Feedback Efficient via Randomization.

Runzhe Wu, Wen Sun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

J. Mach. Learn. Res., 2023

Contextual Bandits and Imitation Learning via Preference-Based Active Queries.

Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

CoRR, 2023

The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning.

Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Selective Sampling and Imitation Learning via Online Regression.

Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contextual Bandits and Imitation Learning with Preference-Based Active Queries.

Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributional Offline Policy Evaluation with Predictive Error Guarantees.

Runzhe Wu, Masatoshi Uehara, Wen Sun

Proceedings of the International Conference on Machine Learning, 2023

2021

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

CoRR, 2021

Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration.

Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021