| Minimax-optimal off-policy evaluation with linear function approximation Y Duan, M Wang International Conference on Machine Learning, 2701-2709, 2020 | 171 | 2020 |
| Near-optimal offline reinforcement learning with linear representation: Leveraging variance information with pessimism M Yin, Y Duan, M Wang, YX Wang International Conference on Learning Representations, 2022 | 84 | 2022 |
| State aggregation learning from Markov transition data Y Duan, T Ke, M Wang Advances in Neural Information Processing Systems, 4486-4495, 2019 | 66 | 2019 |
| Risk bounds and Rademacher complexity in batch reinforcement learning Y Duan, C Jin, Z Li International Conference on Machine Learning, 2892-2902, 2021 | 60 | 2021 |
| Bootstrapping fitted Q-evaluation for off-policy inference B Hao, X Ji, Y Duan, H Lu, C Szepesvari, M Wang International Conference on Machine Learning, 4074-4084, 2021 | 47 | 2021 |
| Optimal policy evaluation using kernel-based temporal difference methods Y Duan, M Wang, MJ Wainwright The Annals of Statistics 52 (5), 1927-1952, 2024 | 43 | 2024 |
| Sparse feature selection makes batch reinforcement learning more sample efficient B Hao, Y Duan, T Lattimore, C Szepesvári, M Wang International Conference on Machine Learning, 4063-4073, 2021 | 38 | 2021 |
| Adaptive and robust multi-task learning Y Duan, K Wang The Annals of Statistics 51 (5), 2015-2039, 2023 | 35 | 2023 |
| Learning low-dimensional state embeddings and metastable clusters from time series data Y Sun, Y Duan, H Gong, M Wang Advances in Neural Information Processing Systems, 4561-4570, 2019 | 21 | 2019 |
| Bootstrapping statistical inference for off-policy evaluation B Hao, X Ji, Y Duan, H Lu, C Szepesvári, M Wang arXiv preprint, arXiv:2102.03607, 2021 | 17 | 2021 |
| Learning good state and action representations via tensor decomposition C Ni, AR Zhang, Y Duan, M Wang 2021 IEEE International Symposium on Information Theory (ISIT), 1682-1687, 2021 | 12 | 2021 |
| Adaptive low-nonnegative-rank approximation for state aggregation of Markov chains Y Duan, M Wang, Z Wen, Y Yuan SIAM Journal on Matrix Analysis and Applications 41 (1), 244-278, 2020 | 9 | 2020 |
| Learning good state and action representations for Markov decision process via tensor decomposition C Ni, Y Duan, M Dahleh, M Wang, AR Zhang Journal of Machine Learning Research 24 (115), 1-53, 2023 | 4 | 2023 |
| Policy evaluation from a single path: Multi-step methods, mixing and mis-specification Y Duan, MJ Wainwright arXiv preprint, arXiv:2211.03899, 2022 | 4 | 2022 |
| Taming "data-hungry" reinforcement learning? Stability in continuous state-action spaces Y Duan, MJ Wainwright Advances in Neural Information Processing Systems, 2024 | 3 | 2024 |
| A finite-sample analysis of multi-step temporal difference estimates Y Duan, MJ Wainwright Learning for Dynamics and Control Conference, 612-624, 2023 | 3 | 2023 |
| PILAF: Optimal human preference sampling for reward modeling Y Feng, A Kwiatkowski, K Zheng, J Kempe, Y Duan arXiv preprint, arXiv:2502.04270, 2025 | 1 | 2025 |
| Localized exploration in contextual dynamic pricing achieves dimension-free regret J Chai, Y Duan, J Fan, K Wang arXiv preprint, arXiv:2412.19252, 2024 | 1 | 2024 |