Seuraa
Junzi Zhang
Junzi Zhang
Citadel Securities; Amazon; Stanford University
Vahvistettu sähköpostiosoite verkkotunnuksessa stanford.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Learning mean-field games
X Guo, A Hu, R Xu, J Zhang
Advances in neural information processing systems 32, 2019
2392019
Globally convergent type-I Anderson acceleration for nonsmooth fixed-point iterations
J Zhang, B O'Donoghue, S Boyd
SIAM Journal on Optimization 30 (4), 3170-3197, 2020
1682020
Sample efficient reinforcement learning with REINFORCE
J Zhang, J Kim, B O'Donoghue, S Boyd
Proceedings of the AAAI conference on artificial intelligence 35 (12), 10887 …, 2021
1262021
Anderson Accelerated Douglas--Rachford Splitting
A Fu, J Zhang, S Boyd
SIAM Journal on Scientific Computing 42 (6), A3560-A3583, 2020
892020
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
572023
Robust super-level set estimation using Gaussian processes
A Zanette, J Zhang, MJ Kochenderfer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
412018
On the global optimum convergence of momentum-based policy gradient
Y Ding, J Zhang, J Lavaei
International Conference on Artificial Intelligence and Statistics, 1910-1934, 2022
242022
Beyond exact gradients: Convergence of stochastic soft-max policy gradient methods with entropy regularization
Y Ding, J Zhang, H Lee, J Lavaei
arXiv preprint arXiv:2110.10117, 2021
242021
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
222024
Consistency and computation of regularized mles for multivariate hawkes processes
X Guo, A Hu, R Xu, J Zhang
arXiv preprint arXiv:1810.02955 (Short version in NeurIPS 2018 Workshop on …, 2018
212018
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
82022
MFGLib: A library for mean-field games
X Guo, A Hu, M Santamaria, M Tajrobehkar, J Zhang
arXiv preprint arXiv:2304.08630, 2023
72023
A Markov regime switching model for ultra-short-term wind power prediction based on toeplitz inverse covariance clustering
H Fan, X Zhang, S Mei, J Zhang
Frontiers in Energy Research 9, 638797, 2021
62021
Mesob: Balancing equilibria & social optimality
X Guo, L Li, S Nabi, R Salhab, J Zhang
arXiv preprint arXiv:2307.07911, 2023
52023
Mf-oml: Online mean-field reinforcement learning with occupation measures for large population games
A Hu, J Zhang
arXiv preprint arXiv:2405.00282, 2024
32024
Local analysis of entropy-regularized stochastic soft-max policy gradient methods
Y Ding, J Zhang, J Lavaei
2023 European Control Conference (ECC), 1-8, 2023
32023
Stabilizing Anderson mixing for accelerated optimization
J Zhang
Stanford University, 2021
22021
Information-Directed Sampling for Reinforcement Learning
J Qian, J Zhang
MS&E 338 course project supervised by Prof. Benjamin Van Roy & Dr. Abbas …, 2017
12017
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models
Z Cheng, J Zhang, A Agrawal, S Boyd
arXiv preprint arXiv:2305.02573, 2023
2023
Particle Filter Network: A Model-free Approach for POMDP
P Gao, J Zhang
AA 229/CS 239 course project supervised by Prof. Mykel J. Kochenderfer, 2018
2018
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20