Qiwen Cui

According to our database, Qiwen Cui authored at least 21 papers between 2020 and 2024.

Collaborative distances:

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

2024

BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data.

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

CoRR, 2024

Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques.

Natalia Zhang, Xinqi Wang, Qiwen Cui, Runlong Zhou, Sham M. Kakade, Simon S. Du

CoRR, 2024

(N, K)-Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language Model.

Yufeng Zhang, Liyu Chen, Boyi Liu, Yingxiang Yang, Qiwen Cui, Yunzhe Tao, Hongxia Yang

CoRR, 2024

Learning Optimal Tax Design in Nonatomic Congestion Games.

Qiwen Cui, Maryam Fazel, Simon S. Du

CoRR, 2024

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation.

Yan Dai, Qiwen Cui, Simon S. Du

CoRR, 2024

Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning.

Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning.

Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract).

Yan Dai, Qiwen Cui, Simon S. Du

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

An Efficient Fisher Matrix Approximation Method for Large-Scale Neural Network Optimization.

Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement.

Haozhe Jiang, Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon Shaolei Du

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Breaking the Curse of Multiagents in a Large State Space: RL in Markov Games with Independent Linear Function Approximation.

Qiwen Cui, Kaiqing Zhang, Simon S. Du

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

When is Offline Two-Player Zero-Sum Markov Game Solvable?

Qiwen Cui, Simon S. Du

CoRR, 2022

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes.

Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Gap-dependent Bounds for Offline Reinforcement Learning.

Xinqi Wang, Qiwen Cui, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning in Congestion Games with Bandit Feedback.

Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When are Offline Two-Player Zero-Sum Markov Games Solvable?

Qiwen Cui, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus.

Qiwen Cui, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

NG+ : A Multi-Step Matrix-Product Natural Gradient Method for Deep Learning.

Minghan Yang, Dong Xu, Qiwen Cui, Zaiwen Wen, Pengxiang Xu

CoRR, 2021

Minimax sample complexity for turn-based stochastic game.

Qiwen Cui, Lin F. Yang

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Randomized Exploration in Reinforcement Learning with General Value Function Approximation.

Haque Ishfaq, Qiwen Cui, Viet Nguyen, Alex Ayoub, Zhuoran Yang, Zhaoran Wang, Doina Precup, Lin Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning?

Qiwen Cui, Lin F. Yang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020