| Learning mean-field games X Guo, A Hu, R Xu, J Zhang Advances in neural information processing systems 32, 2019 | 184 | 2019 |
| A general framework for learning mean-field games X Guo, A Hu, R Xu, J Zhang Mathematics of Operations Research 48 (2), 656-686, 2023 | 41 | 2023 |
| Logarithmic regret for episodic continuous-time linear-quadratic reinforcement learning over a finite-time horizon M Basei, X Guo, A Hu, Y Zhang Journal of Machine Learning Research 23 (178), 1-34, 2022 | 32* | 2022 |
| Consistency and computation of regularized MLEs for multivariate Hawkes processes X Guo, A Hu, R Xu, J Zhang arXiv preprint arXiv:1810.02955, 2018 | 16 | 2018 |
| Reinforcement learning for linear-convex models with jumps via stability analysis of feedback controls X Guo, A Hu, Y Zhang SIAM Journal on Control and Optimization 61 (2), 755-787, 2023 | 15 | 2023 |
| MF-OMO: An optimization formulation of mean-field games X Guo, A Hu, J Zhang SIAM Journal on Control and Optimization 62 (1), 243-270, 2024 | 14 | 2024 |
| MFGLib: A library for mean-field games X Guo, A Hu, M Santamaria, M Tajrobehkar, J Zhang arXiv preprint arXiv:2304.08630, 2023 | 4 | 2023 |
| Optimization frameworks and sensitivity analysis of Stackelberg mean-field games X Guo, A Hu, J Zhang arXiv preprint arXiv:2210.04110, 2022 | 4 | 2022 |
| Theoretical guarantees of fictitious discount algorithms for episodic reinforcement learning and global convergence of policy gradient methods X Guo, A Hu, J Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6774-6782, 2022 | 4 | 2022 |
