Runzhe Wu - RankMe

20 papers A* 8Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. EACL (Findings) Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025	A*	`conf`	Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics. ICLR Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun
2025	A*	`conf`	Diffusing States and Matching Scores: A New Framework for Imitation Learning. ICLR Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
2025	J	`jnl`	Imbalanced Gradients in RL Post-Training of Multi-Task LLMs. CoRR Runzhe Wu, Ankur Samanta, Ayush Jain, Scott Fujimoto, Jeongyeol Kwon, Ben Kretzu, Youliang Yu, Kaveh Hassani, Boris Vidolov, Yonathan Efroni
2025	J	`jnl`	Internalizing Self-Consistency in Language Models: Multi-Agent Consensus Alignment. CoRR Ankur Samanta, Akshayaa Magesh, Youliang Yu, Runzhe Wu, Ayush Jain, Daniel Jiang, Boris Vidolov, Paul Sajda, Yonathan Efroni, Kaveh Hassani
2024	J	`jnl`	Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics. CoRR Runzhe Wu, Ayush Sekhari, Akshay Krishnamurthy, Wen Sun
2024	J	`jnl`	Diffusing States and Matching Scores: A New Framework for Imitation Learning. CoRR Runzhe Wu, Yiding Chen, Gokul Swamy, Kianté Brantley, Wen Sun
2024	A*	`conf`	Making RL with Preference-based Feedback Efficient via Randomization. ICLR Runzhe Wu, Wen Sun
2023	J	`jnl`	Contextual Bandits and Imitation Learning via Preference-Based Active Queries. CoRR Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
2023	A*	`conf`	Contextual Bandits and Imitation Learning with Preference-Based Active Queries. NeurIPS Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
2023	A*	`conf`	Distributional Offline Policy Evaluation with Predictive Error Guarantees. ICML Runzhe Wu, Masatoshi Uehara, Wen Sun
2023	J	`jnl`	Distributional Offline Policy Evaluation with Predictive Error Guarantees. CoRR Runzhe Wu, Masatoshi Uehara, Wen Sun
2023	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
2023	J	`jnl`	Making RL with Preference-based Feedback Efficient via Randomization. CoRR Runzhe Wu, Wen Sun
2023	A*	`conf`	Selective Sampling and Imitation Learning via Online Regression. NeurIPS Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
2023	J	`jnl`	Selective Sampling and Imitation Learning via Online Regression. CoRR Ayush Sekhari, Karthik Sridharan, Wen Sun, Runzhe Wu
2023	A*	`conf`	The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. NeurIPS Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun
2023	J	`jnl`	The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning. CoRR Kaiwen Wang, Kevin Zhou, Runzhe Wu, Nathan Kallus, Wen Sun
2021	J	`jnl`	MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. CoRR Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Weinan Zhang, Jun Wang
2021	A*	`conf`	Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration. NeurIPS Runzhe Wu, Yufeng Zhang, Zhuoran Yang, Zhaoran Wang