Junzi Zhang
Title
Cited by
Cited by
Year
Learning mean-field games
X Guo, A Hu, R Xu, J Zhang
arXiv preprint arXiv:1901.09585, 2019
582019
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
522020
Anderson Accelerated Douglas--Rachford Splitting
A Fu, J Zhang, S Boyd
SIAM Journal on Scientific Computing 42 (6), A3560-A3583, 2020
402020
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
162018
Sample efficient reinforcement learning with REINFORCE
J Zhang, J Kim, B O’Donoghue, S Boyd
arXiv preprint arXiv:2010.11364, 2020
142020
A general framework for learning mean-field games
X Guo, A Hu, R Xu, J Zhang
arXiv preprint arXiv:2003.06069, 2020
142020
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
82018
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, NA-NA, 2021
22021
On the Global Convergence of Momentum-based Policy Gradient
Y Ding, J Zhang, J Lavaei
arXiv preprint arXiv:2110.10116, 2021
2021
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
2021
Theoretical Guarantees of Fictitious Discount Algorithms for Episodic Reinforcement Learning and Global Convergence of Policy Gradient Methods
X Guo, A Hu, J Zhang
arXiv preprint arXiv:2109.06362, 2021
2021
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 1–16