| A stochastic approximation method for simulation-based quantile optimization J Hu, Y Peng, G Zhang, Q Zhang INFORMS Journal on Computing 34 (6), 2889-2907, 2022 | 16 | 2022 |
| Asymptotically Optimal Sampling Policy for Selecting Top-m Alternatives G Zhang, Y Peng, J Zhang, E Zhou INFORMS Journal on Computing 35 (6), 1261-1285, 2023 | 13 | 2023 |
| An efficient dynamic sampling policy for monte carlo tree search G Zhang, Y Peng, Y Xu 2022 Winter Simulation Conference (WSC), 2760-2771, 2022 | 12 | 2022 |
| Sequential sampling for a ranking and selection problem with exponential sampling distributions G Zhang, H Li, Y Peng 2020 Winter Simulation Conference (WSC), 2984-2995, 2020 | 9 | 2020 |
| Thompson sampling meets ranking and selection Y Peng, G Zhang 2022 Winter Simulation Conference (WSC), 3075-3086, 2022 | 7 | 2022 |
| Efficient sampling policy for selecting a subset with the best G Zhang, B Chen, QS Jia, Y Peng IEEE Transactions on Automatic Control 68 (8), 4904-4911, 2022 | 7 | 2022 |
| Efficient Learning for Selecting Top- Context-Dependent Designs G Zhang, S Chen, K Huang, Y Peng IEEE Transactions on Automation Science and Engineering, 2024 | 4 | 2024 |
| An Efficient Node Selection Policy for Monte Carlo Tree Search with Neural Networks X Liu, Y Peng, G Zhang, R Zhou INFORMS Journal on Computing, 2024 | 2 | 2024 |
| Top-Two Thompson Sampling for Selecting Context-Dependent Best Designs X Shi, Y Peng, G Zhang 2023 Winter Simulation Conference (WSC), 3400-3411, 2023 | 2 | 2023 |
| Top-two thompson sampling for contextual top-mc selection problems X Shi, Y Peng, G Zhang arXiv preprint arXiv:2306.17704, 2023 | 2 | 2023 |
| Dynamic sampling policy for subset selection G Zhang, Y Peng, J Zhang, E Zhou 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 2 | 2021 |
| Dynamic sampling allocation for selecting a good enough alternative G Zhang, CH Chen, QS Jia, Y Peng 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 2 | 2020 |
| A Simulation Optimization Method for Scheduling Automated Guided Vehicles in a Stochastic Warehouse Management System G Zhang, X Liu, Y Peng 2023 Winter Simulation Conference (WSC), 3238-3249, 2023 | 1 | 2023 |
| Online Appendix for'Efficient Learning for Selecting Top-m Context-Dependent Designs' G Zhang, S Chen, K Huang, Y Peng Available at SSRN 4316394, 2022 | 1 | 2022 |
| Solving Mixed Integer Linear Programs by Monte Carlo Tree Search G Zhang, Y Peng 2024 Winter Simulation Conference (WSC), 3380-3391, 2024 | | 2024 |
| Simulation Budget Allocation for Improving Scheduling and Routing of Automated Guided Vehicles in Warehouse Management GB Zhang, HB Li, XT Liu, YJ Peng Journal of the Operations Research Society of China, 1-35, 2024 | | 2024 |
| Stochastic Gradient Estimation and Its Application in System Management Z Gongbo, LI Haidong, P Yijie Journal of Systems & Management 31 (6), 1084, 2022 | | 2022 |
| Stochastic Gradient Method for Economic Design of Control Charts Z Gongbo, P Yijie, Y Shuhuai Frontiers of Science and Technology of Engineering Management 41 (03), 45-52, 2022 | | 2022 |
| Gradient-Based Simulation Optimization for Economic Design of Control Charts G Zhang, Y Peng, S Yang 2021 IEEE 17th International Conference on Automation Science and …, 2021 | | 2021 |
Yijie PengPeking University在 pku.edu.cn 的电子邮件经过验证