Zhuoran Yang
Title
Cited by
Cited by
Year
Fully decentralized multi-agent reinforcement learning with networked agents
K Zhang, Z Yang, H Liu, T Zhang, T Basar
International Conference on Machine Learning, 5872-5881, 2018
2652018
Multi-agent reinforcement learning: A selective overview of theories and algorithms
K Zhang, Z Yang, T Başar
Handbook of Reinforcement Learning and Control, 321-384, 2021
2372021
Provably efficient reinforcement learning with linear function approximation
C Jin, Z Yang, Z Wang, MI Jordan
Conference on Learning Theory, 2137-2143, 2020
1792020
A theoretical analysis of deep Q-learning
J Fan, Z Wang, Y Xie, Z Yang
Learning for Dynamics and Control, 486-489, 2020
1662020
Multi-agent reinforcement learning via double averaging primal-dual optimization
HT Wai, Z Yang, Z Wang, M Hong
arXiv preprint arXiv:1806.00877, 2018
1042018
Provably efficient exploration in policy optimization
Q Cai, Z Yang, C Jin, Z Wang
International Conference on Machine Learning, 1283-1294, 2020
882020
Neural policy gradient methods: Global optimality and rates of convergence
L Wang, Q Cai, Z Yang, Z Wang
arXiv preprint arXiv:1909.01150, 2019
872019
Sparse nonlinear regression: Parameter estimation and asymptotic inference
Z Yang, Z Wang, H Liu, YC Eldar, T Zhang
arXiv preprint arXiv:1511.04514, 2015
64*2015
Neural proximal/trust region policy optimization attains globally optimal policy
B Liu, Q Cai, Z Yang, Z Wang
arXiv preprint arXiv:1906.10306, 2019
632019
Policy optimization provably converges to Nash equilibria in zero-sum linear quadratic games
K Zhang, Z Yang, T Başar
arXiv preprint arXiv:1906.00729, 2019
592019
Neural temporal-difference learning converges to global optima
Q Cai, Z Yang, J Lee, Z Wang
522019
Networked multi-agent reinforcement learning in continuous spaces
K Zhang, Z Yang, T Basar
2018 IEEE conference on decision and control (CDC), 2771-2776, 2018
522018
On semiparametric exponential family graphical models
Z Yang, Y Ning, H Liu
arXiv preprint arXiv:1412.8697, 2014
41*2014
Convergent policy optimization for safe reinforcement learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems 32, 3127-3139, 2019
402019
High-dimensional non-Gaussian single index models via thresholded score function estimation
Z Yang, K Balasubramanian, H Liu
International Conference on Machine Learning, 3851-3860, 2017
312017
Provably global convergence of actor-critic: A case for linear quadratic regulator with ergodic cost
Z Yang, Y Chen, M Hong, Z Wang
292019
Finite-sample analyses for fully decentralized multi-agent reinforcement learning
K Zhang, Z Yang, H Liu, T Zhang, T Basar
arXiv preprint arXiv:1812.02783, 2018
292018
Misspecified nonconvex statistical optimization for phase retrieval
Z Yang, LF Yang, EX Fang, T Zhao, Z Wang, M Neykov
arXiv preprint arXiv:1712.06245, 2017
29*2017
Neural trust region/proximal policy optimization attains globally optimal policy
B Liu, Q Cai, Z Yang, Z Wang
282019
Provably efficient safe exploration via primal-dual policy optimization
D Ding, X Wei, Z Yang, Z Wang, M Jovanovic
International Conference on Artificial Intelligence and Statistics, 3304-3312, 2021
272021
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