Qiwen Cui - RankMe

32 papers A* 13A 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
2024	A*	`conf`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2024	J	`jnl`	BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data. CoRR Xuwu Wang, Qiwen Cui, Yunzhe Tao, Yiran Wang, Ziwei Chai, Xiaotian Han, Boyi Liu, Jianbo Yuan, Jing Su, Guoyin Wang, Tingkai Liu, Liyu Chen, Tianyi Liu, Tao Sun, Yufeng Zhang, Sirui Zheng, Quanzeng You, Yang Yang, Hongxia Yang
2024	A*	`conf`	Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. ICLR Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du
2024	A*	`conf`	Learning Optimal Tax Design in Nonatomic Congestion Games. NeurIPS Qiwen Cui, Maryam Fazel, Simon S. Du
2024	J	`jnl`	Learning Optimal Tax Design in Nonatomic Congestion Games. CoRR Qiwen Cui, Maryam Fazel, Simon S. Du
2024	J	`jnl`	Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques. CoRR Natalia Zhang, Xinqi Wang, Qiwen Cui, Runlong Zhou, Sham M. Kakade, Simon S. Du
2024	A*	`conf`	Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract). COLT Yan Dai, Qiwen Cui, Simon S. Du
2024	J	`jnl`	Refined Sample Complexity for Markov Games with Independent Linear Function Approximation. CoRR Yan Dai, Qiwen Cui, Simon S. Du
2023	J	`jnl`	A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. CoRR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2023	J	`jnl`	An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
2023	A*	`conf`	Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. COLT Qiwen Cui, Kaiqing Zhang, Simon S. Du
2023	J	`jnl`	Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. CoRR Qiwen Cui, Kaiqing Zhang, Simon S. Du
2023	J	`jnl`	Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. CoRR Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du
2023	A*	`conf`	Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
2022	A*	`conf`	Learning in Congestion Games with Bandit Feedback. NeurIPS Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	J	`jnl`	Learning in Congestion Games with Bandit Feedback. CoRR Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	A*	`conf`	Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du
2022	J	`jnl`	Offline congestion games: How feedback type affects data coverage requirement. CoRR Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
2022	A*	`conf`	On Gap-dependent Bounds for Offline Reinforcement Learning. NeurIPS Xinqi Wang, Qiwen Cui, Simon S. Du
2022	J	`jnl`	On Gap-dependent Bounds for Offline Reinforcement Learning. CoRR Xinqi Wang, Qiwen Cui, Simon S. Du
2022	A*	`conf`	Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus. NeurIPS Qiwen Cui, Simon S. Du
2022	J	`jnl`	Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus. CoRR Qiwen Cui, Simon S. Du
2022	A*	`conf`	When are Offline Two-Player Zero-Sum Markov Games Solvable? NeurIPS Qiwen Cui, Simon S. Du
2022	J	`jnl`	When is Offline Two-Player Zero-Sum Markov Game Solvable? CoRR Qiwen Cui, Simon S. Du
2021	A	`conf`	Minimax sample complexity for turn-based stochastic game. UAI Qiwen Cui, Lin F. Yang
2021	J	`jnl`	NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. CoRR Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
2021	J	`jnl`	Randomized Exploration for Reinforcement Learning with General Value Function Approximation. CoRR Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang
2021	A*	`conf`	Randomized Exploration in Reinforcement Learning with General Value Function Approximation. ICML Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang
2020	A*	`conf`	Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NeurIPS Qiwen Cui, Lin F. Yang
2020	J	`jnl`	Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? CoRR Qiwen Cui, Lin F. Yang
2020	J	`jnl`	Minimax Sample Complexity for Turn-based Stochastic Game. CoRR Qiwen Cui, Lin F. Yang