| When are offline two-player zero-sum Markov games solvable? Q Cui, SS Du Advances in Neural Information Processing Systems 35, 25779-25791, 2022 | 56 | 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 | 45 | 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 | 28 | 2023 |
| 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 | 28 | 2021 |
| 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 | 24* | 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 |
| On gap-dependent bounds for offline reinforcement learning X Wang, Q Cui, SS Du Advances in Neural Information Processing Systems 35, 14865-14877, 2022 | 15 | 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 |
| 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 | 12* | 2022 |
| 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 | 4 | 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 Model Y Zhang, L Chen, B Liu, Y Yang, Q Cui, Y Tao, H Yang arXiv preprint arXiv:2403.07191, 2024 | | 2024 |
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonPotvrđena adresa e-pošte na cs.washington.edu
