| Batch policy learning in average reward markov decision processes P Liao, Z Qi, R Wan, P Klasnja, S Murphy arXiv preprint arXiv:2007.11771, 2022 | 93 | 2022 |
| Does the Markov decision process fit the data: testing for the Markov property in sequential decision making C Shi, R Wan, R Song, W Lu, L Leng International Conference on Machine Learning, 8807-8817, 2020 | 48 | 2020 |
| Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control R Wan, X Zhang, R Song Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 41 | 2021 |
| Deeply-debiased off-policy interval estimation C Shi, R Wan, V Chernozhukov, R Song International Conference on Machine Learning, 9580-9591, 2021 | 41 | 2021 |
| Metadata-based multi-task bandits with bayesian hierarchical models R Wan, L Ge, R Song Advances in Neural Information Processing Systems 34, 29655-29668, 2021 | 31 | 2021 |
| A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets C Shi, R Wan, G Song, S Luo, H Zhu, R Song The Annals of Applied Statistics 17 (4), 2701-2722, 2023 | 18 | 2023 |
| Towards scalable and robust structured bandits: A meta-learning framework R Wan, L Ge, R Song International Conference on Artificial Intelligence and Statistics, 1144-1173, 2023 | 15 | 2023 |
| Safe Exploration for Efficient Policy Evaluation and Comparison R Wan, B Kveton, R Song International Conference on Machine Learning, 22491-22511, 2022 | 15 | 2022 |
| Mining the factor zoo: Estimation of latent factor models with sufficient proxies R Wan, Y Li, W Lu, R Song Journal of Econometrics 239 (2), 105386, 2024 | 7 | 2024 |
| STEEL: Singularity-aware Reinforcement Learning X Chen, Z Qi, R Wan arXiv preprint arXiv:2301.13152, 2023 | 6 | 2023 |
| Robust offline reinforcement learning with heavy-tailed rewards J Zhu, R Wan, Z Qi, S Luo, C Shi International Conference on Artificial Intelligence and Statistics, 541-549, 2024 | 4* | 2024 |
| Experimentation platforms meet reinforcement learning: Bayesian sequential decision-making for continuous monitoring R Wan, Y Liu, J McQueen, D Hains, R Song Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Multiplier bootstrap-based exploration R Wan, H Wei, B Kveton, R Song International Conference on Machine Learning, 35444-35490, 2023 | 4 | 2023 |
| Pattern Transfer Learning for Reinforcement Learning in Order Dispatching R Wan, S Zhang, C Shi, S Luo, R Song arXiv preprint arXiv:2105.13218, 2021 | 3 | 2021 |
| Zero-Inflated Bandits H Wei, R Wan, L Shi, R Song arXiv preprint arXiv:2312.15595, 2023 | 1 | 2023 |
| Advances in Statistical Inference and Policy Optimization for Reinforcement Learning R Wan North Carolina State University, 2022 | 1 | 2022 |
| A Review of Reinforcement Learning in Financial Applications Y Bai, Y Gao, R Wan, S Zhang, R Song Annual Review of Statistics and Its Application 12, 2024 | | 2024 |
| Effect size estimation for duration recommendation in online experiments: Leveraging hierarchical models and objective utility approaches Y Liu, R Wan, J McQueen, D Hains, J Gu, R Song Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 14044 …, 2024 | | 2024 |
| Online testing efficiency through early termination Y Liu, R Wan, J McQueen, D Hains, R Song, RH Castillo US Patent 11,909,829, 2024 | | 2024 |
| Heterogeneous Synthetic Learner for Panel Data Y Shen, R Wan, H Cai, R Song arXiv preprint arXiv:2212.14580, 2022 | | 2022 |
Rui SongNorth Carolina State UniversityVerified email at ncsu.edu