| Learning mean-field games X Guo, A Hu, R Xu, J Zhang Advances in Neural Information Processing Systems 32, 2019 | 129 | 2019 |
| Learning in generalized linear contextual bandits with stochastic delays Z Zhou, R Xu, J Blanchet Advances in Neural Information Processing Systems 32, 2019 | 72 | 2019 |
| Mean-field controls with Q-learning for cooperative MARL: convergence and complexity analysis H Gu, X Guo, X Wei, R Xu SIAM Journal on Mathematics of Data Science 3 (4), 1168-1196, 2021 | 40* | 2021 |
| Entropy regularization for mean field games with learning X Guo, R Xu, T Zariphopoulou Mathematics of Operations Research 47 (4), 3239-3260, 2022 | 36 | 2022 |
| Policy gradient methods for the noisy linear quadratic regulator over a finite horizon B Hambly, R Xu, H Yang SIAM Journal on Control and Optimization 59 (5), 3359-3391, 2021 | 35 | 2021 |
| A general framework for learning mean-field games X Guo, A Hu, R Xu, J Zhang Mathematics of Operations Research, 2022 | 33 | 2022 |
| Stochastic Games for Fuel Follower Problem: versus Mean Field Game X Guo, R Xu SIAM Journal on Control and Optimization 57 (1), 659-692, 2019 | 33 | 2019 |
| Recent advances in reinforcement learning in finance B Hambly, R Xu, H Yang arXiv preprint arXiv:2112.04553, 2021 | 29 | 2021 |
| Dynamic programming principles for mean-field controls with learning H Gu, X Guo, X Wei, R Xu Operations Research, 2023 | 28* | 2023 |
| Mean-field multi-agent reinforcement learning: A decentralized network approach H Gu, X Guo, X Wei, R Xu arXiv preprint arXiv:2108.02731, 2021 | 16 | 2021 |
| Modelling COVID-19 contagion: risk assessment and targeted mitigation policies R Cont, A Kotlicki, R Xu Royal Society open science 8 (3), 201535, 2021 | 15 | 2021 |
| Scaling properties of deep residual networks AS Cohen, R Cont, A Rossier, R Xu International Conference on Machine Learning, 2039-2048, 2021 | 13 | 2021 |
| Consistency and computation of regularized mles for multivariate hawkes processes X Guo, A Hu, R Xu, J Zhang arXiv preprint arXiv:1810.02955, 2018 | 13 | 2018 |
| Policy gradient methods find the Nash equilibrium in N-player general-sum linear-quadratic games B Hambly, R Xu, H Yang arXiv preprint arXiv:2107.13090, 2021 | 12 | 2021 |
| A class of stochastic games and moving free boundary problems X Guo, W Tang, R Xu SIAM Journal on Control and Optimization 60 (2), 758-785, 2022 | 11* | 2022 |
| Interbank lending with benchmark rates: Pareto optima for a class of singular control games R Cont, X Guo, R Xu Mathematical Finance 31 (4), 1357-1393, 2021 | 8* | 2021 |
| Excursion risk A Ananova, R Cont, R Xu arXiv preprint arXiv:2011.02870, 2020 | 4 | 2020 |
| Transaction cost analytics for corporate bonds X Guo, CA Lehalle, R Xu Quantitative Finance 22 (7), 1295-1319, 2022 | 3* | 2022 |
| Tail-gan: Nonparametric scenario generation for tail risk estimation R Cont, M Cucuringu, R Xu, C Zhang arXiv preprint arXiv:2203.01664, 2022 | 2 | 2022 |
| Asymptotic Analysis of Deep Residual Networks R Cont, A Rossier, R Xu arXiv preprint arXiv:2212.08199, 2022 | 1 | 2022 |
Xin GuoUC Berkeley, Cornell Univeristy, IBM在 berkeley.edu 的电子邮件经过验证
