When are offline two-player zero-sum Markov games solvable? Q Cui, SS Du
Advances in Neural Information Processing Systems 35, 25779-25791, 2022
57 2022 Randomized Exploration for Reinforcement Learning with General Value Function Approximation H Ishfaq, Q Cui, V Nguyen, A Ayoub, Z Yang, Z Wang, D Precup, LF Yang
Thirty-eighth International Conference on Machine Learning, 2021
46 2021 Clinical decision support model for tooth extraction therapy derived from electronic dental records Q Cui, Q Chen, P Liu, D Liu, Z Wen
The Journal of Prosthetic Dentistry 126 (1), 83-90, 2021
31 2021 Breaking the curse of multiagents in a large state space: Rl in markov games with independent linear function approximation Q Cui, K Zhang, S Du
The Thirty Sixth Annual Conference on Learning Theory, 2651-2652, 2023
29 2023 Provably efficient offline multi-agent reinforcement learning via strategy-wise bonus Q Cui, SS Du
Advances in Neural Information Processing Systems 35, 11739-11751, 2022
26 2022 Minimax sample complexity for turn-based stochastic game Q Cui, LF Yang
Thirty-seventh Conference on Uncertainty in Artificial Intelligence, 2020
26 2020 Near-optimal randomized exploration for tabular markov decision processes Z Xiong, R Shen, Q Cui, M Fazel, SS Du
Advances in Neural Information Processing Systems 35, 6358-6371, 2022
25 * 2022 On gap-dependent bounds for offline reinforcement learning X Wang, Q Cui, SS Du
Advances in Neural Information Processing Systems 35, 14865-14877, 2022
16 2022 Learning in congestion games with bandit feedback Q Cui, Z Xiong, M Fazel, SS Du
Advances in Neural Information Processing Systems 35, 11009-11022, 2022
15 2022 An efficient Fisher matrix approximation method for large-scale neural network optimization M Yang, D Xu, Q Cui, Z Wen, P Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5391-5403, 2022
13 * 2022 Is Plug-in Solver Sample-Efficient for Feature-based Reinforcement Learning? Q Cui, LF Yang
Thirty-fourth Conference on Neural Information Processing Systems, 2020
13 2020 Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning Z Zhou, C Zhu, R Zhou, Q Cui, A Gupta, SS Du
arXiv preprint arXiv:2310.19308, 2023
6 2023 Learning Optimal Tax Design in Nonatomic Congestion Games Q Cui, M Fazel, SS Du
arXiv preprint arXiv:2402.07437, 2024
2 2024 Refined sample complexity for markov games with independent linear function approximation Y Dai, Q Cui, SS Du
arXiv preprint arXiv:2402.07082, 2024
1 2024 A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning H Jiang, Q Cui, Z Xiong, M Fazel, SS Du
arXiv preprint arXiv:2306.07465, 2023
1 2023 Offline congestion games: How feedback type affects data coverage requirement H Jiang, Q Cui, Z Xiong, M Fazel, SS Du
arXiv preprint arXiv:2210.13396, 2022
1 2022 BabelBench: An Omni Benchmark for Code-Driven Analysis of Multimodal and Multistructured Data X Wang, Q Cui, Y Tao, Y Wang, Z Chai, X Han, B Liu, J Yuan, J Su, ...
arXiv preprint arXiv:2410.00773, 2024
2024 Multi-Agent Reinforcement Learning from Human Feedback: Data Coverage and Algorithmic Techniques N Zhang, X Wang, Q Cui, R Zhou, SM Kakade, SS Du
arXiv preprint arXiv:2409.00717, 2024
2024 -Puzzle: A Cost-Efficient Testbed for Benchmarking Reinforcement Learning Algorithms in Generative Language ModelY Zhang, L Chen, B Liu, Y Yang, Q Cui, Y Tao, H Yang
arXiv preprint arXiv:2403.07191, 2024
2024