Qiwen Cui

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 29

Top Topics

Function Approximation

Sample Complexity

Reinforcement Learning

Top Venues

Publications

Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang
(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model. CoRR (2024)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. ICLR (2024)
Yan Dai, Qiwen Cui, Simon S. Du
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract). COLT (2024)
Qiwen Cui, Maryam Fazel, Simon S. Du
Learning Optimal Tax Design in Nonatomic Congestion Games. CoRR (2024)
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. ICLR (2024)
Yan Dai, Qiwen Cui, Simon S. Du
Refined Sample Complexity for Markov Games with Independent Linear Function Approximation. CoRR (2024)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement. ICLR (2023)
Qiwen Cui, Kaiqing Zhang, Simon S. Du
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. CoRR (2023)
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning. CoRR (2023)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning. CoRR (2023)
Qiwen Cui, Kaiqing Zhang, Simon S. Du
Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation. COLT (2023)
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Qiwen Cui, Simon S. Du
When are Offline Two-Player Zero-Sum Markov Games Solvable? NeurIPS (2022)
Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS (2022)
Qiwen Cui, Simon S. Du
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus. NeurIPS (2022)
Qiwen Cui, Simon S. Du
When is Offline Two-Player Zero-Sum Markov Game Solvable? CoRR (2022)
Xinqi Wang, Qiwen Cui, Simon S. Du
On Gap-dependent Bounds for Offline Reinforcement Learning. NeurIPS (2022)
Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
Offline congestion games: How feedback type affects data coverage requirement. CoRR (2022)
Xinqi Wang, Qiwen Cui, Simon S. Du
On Gap-dependent Bounds for Offline Reinforcement Learning. CoRR (2022)
Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
Learning in Congestion Games with Bandit Feedback. CoRR (2022)
Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du
Learning in Congestion Games with Bandit Feedback. NeurIPS (2022)
Qiwen Cui, Simon S. Du
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus. CoRR (2022)
Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin F. Yang
Randomized Exploration for Reinforcement Learning with General Value Function Approximation. CoRR (2021)
Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang
Randomized Exploration in Reinforcement Learning with General Value Function Approximation. ICML (2021)
Qiwen Cui, Lin F. Yang
Minimax sample complexity for turn-based stochastic game. UAI (2021)
Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu
NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning. CoRR (2021)
Qiwen Cui, Lin F. Yang
Minimax Sample Complexity for Turn-based Stochastic Game. CoRR (2020)
Qiwen Cui, Lin F. Yang
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? CoRR (2020)
Qiwen Cui, Lin F. Yang
Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? NeurIPS (2020)