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Junzi Zhang
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Year
Learning mean-field games
X Guo, A Hu, R Xu, J Zhang
Advances in Neural Information Processing Systems 32, 2019
992019
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
892020
Anderson Accelerated Douglas--Rachford Splitting
A Fu, J Zhang, S Boyd
SIAM Journal on Scientific Computing 42 (6), A3560-A3583, 2020
572020
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
282021
A general framework for learning mean-field games
X Guo, A Hu, R Xu, J Zhang
Mathematics of Operations Research, 2022
262022
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
192018
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
112018
On the global convergence of momentum-based policy gradient
Y Ding, J Zhang, J Lavaei
arXiv preprint arXiv:2110.10116, 2021
42021
MF-OMO: An optimization formulation of mean-field games
X Guo, A Hu, J Zhang
arXiv preprint arXiv:2206.09608, 2022
22022
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
22021
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
12022
Beyond exact gradients: Convergence of stochastic soft-max policy gradient methods with entropy regularization
Y Ding, J Zhang, J Lavaei
arXiv preprint arXiv:2110.10117, 2021
12021
Stabilizing Anderson Mixing for Accelerated Optimization
J Zhang
Stanford University, 2021
2021
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
Information-Directed Sampling for Reinforcement Learning
J Qian, J Zhang
MS&E 338 course project supervised by Prof. Benjamin Van Roy & Dr. Abbas …, 2017
2017
SUPPLEMENTARY MATERIALS: ANDERSON ACCELERATED DOUGLAS–RACHFORD SPLITTING
A FU, J ZHANG, S BOYD
A Brief Introduction to Prox-affine Forms in Convex Optimization
J Zhang, A Fu, S Boyd
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Articles 1–17