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Zhaoran Wang
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Cited by
Year
A Theoretical Analysis of Deep Q-Learning
J Fan, Z Wang, Y Xie, Z Yang
Learning for Dynamics and Control, 2020
4152020
Provably Efficient Reinforcement Learning with Linear Function Approximation
C Jin, Z Yang, Z Wang, MI Jordan
Mathematics of Operations Research/Annual Conference on Learning Theory, 2022
4142022
Optimal Computational and Statistical Rates of Convergence for Sparse Nonconvex Learning Problems
Z Wang, H Liu, T Zhang
Annals of Statistics, 2014
1912014
Provably Efficient Exploration in Policy Optimization
Q Cai, Z Yang, C Jin, Z Wang
International Conference on Machine Learning, 2020
1832020
A Nonconvex Optimization Framework for Low Rank Matrix Estimation
T Zhao, Z Wang, H Liu
Advances in Neural Information Processing Systems, 2015
177*2015
A Strictly Contractive Peaceman--Rachford Splitting Method for Convex Programming
B He, H Liu, Z Wang, X Yuan
SIAM Journal on Optimization, 2014
1662014
Neural Policy Gradient Methods: Global Optimality and Rates of Convergence
L Wang, Q Cai, Z Yang, Z Wang
International Conference on Learning Representations, 2020
1642020
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
HT Wai, Z Yang, Z Wang, M Hong
Advances in Neural Information Processing Systems, 2018
1542018
Is Pessimism Provably Efficient for Offline RL?
Y Jin, Z Yang, Z Wang
International Conference on Machine Learning, 2021
1502021
Neural Proximal/Trust Region Policy Optimization Attains Globally Optimal Policy
B Liu, Q Cai, Z Yang, Z Wang
Advances in Neural Information Processing Systems, 2019
150*2019
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic
M Hong, HT Wai, Z Wang, Z Yang
SIAM Journal on Optimization, 2022
1172022
High-Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Z Wang, Q Gu, Y Ning, H Liu
Advances in Neural Information Processing Systems, 2015
1122015
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
X Li, J Lu, R Arora, J Haupt, H Liu, Z Wang, T Zhao
IEEE Transactions on Information Theory, 2019
94*2019
Neural Temporal-Difference and Q-Learning Provably Converge to Global Optima
Q Cai, Z Yang, JD Lee, Z Wang
Mathematics of Operations Research/Advances in Neural Information Processing …, 2019
92*2019
On the Global Convergence of Actor-Critic: A Case for Linear Quadratic Regulator with Ergodic Cost
Z Yang, Y Chen, M Hong, Z Wang
Advances in Neural Information Processing Systems, 2019
912019
Provably Efficient Safe Exploration via Primal-Dual Policy Optimization
D Ding, X Wei, Z Yang, Z Wang, MR Jovanović
International Conference on Artificial Intelligence and Statistics, 2021
882021
Nonconvex Statistical Optimization: Minimax-Optimal Sparse PCA in Polynomial Time
Z Wang, H Lu, H Liu
Advances in Neural Information Processing Systems, 2014
84*2014
Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
Q Xie, Y Chen, Z Wang, Z Yang
Mathematics of Operations Research/Annual Conference on Learning Theory, 2022
822022
Bridging Exploration and General Function Approximation in Reinforcement Learning: Provably Efficient Kernel and Neural Value Iterations
Z Yang, C Jin, Z Wang, M Wang, MI Jordan
Advances in Neural Information Processing Systems, 2020
75*2020
Convergent Policy Optimization for Safe Reinforcement Learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems, 2019
742019
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