Learning mean-field games X Guo, A Hu, R Xu, J Zhang Advances in neural information processing systems 32, 2019 | 190 | 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 | 42 | 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 | 34* | 2022 |
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 | 17 | 2023 |
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 |
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 | 15 | 2024 |
Optimization frameworks and sensitivity analysis of Stackelberg mean-field games X Guo, A Hu, J Zhang arXiv preprint arXiv:2210.04110, 2022 | 5 | 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 | 5 | 2022 |
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 |
MF-OML: Online Mean-Field Reinforcement Learning with Occupation Measures for Large Population Games A Hu, J Zhang arXiv preprint arXiv:2405.00282, 2024 | | 2024 |
INDUSTRY EXPERIENCE M Basei, X Guo, A Hu University of California, Berkeley 2022, 2016 | | 2016 |