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Zhuoran Yang
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Cited by
Year
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
5142021
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
3792018
Provably efficient reinforcement learning with linear function approximation
C Jin, Z Yang, Z Wang, MI Jordan
Conference on Learning Theory, 2137-2143, 2020
3422020
A theoretical analysis of deep Q-learning
J Fan, Z Wang, Y Xie, Z Yang
Learning for Dynamics and Control, 486-489, 2020
3232020
Provably efficient exploration in policy optimization
Q Cai, Z Yang, C Jin, Z Wang
International Conference on Machine Learning, 1283-1294, 2020
1552020
Multi-agent reinforcement learning via double averaging primal-dual optimization
HT Wai, Z Yang, Z Wang, M Hong
Advances in Neural Information Processing Systems 31, 2018
1402018
Neural policy gradient methods: Global optimality and rates of convergence
L Wang, Q Cai, Z Yang, Z Wang
arXiv preprint arXiv:1909.01150, 2019
1352019
Is pessimism provably efficient for offline rl?
Y Jin, Z Yang, Z Wang
International Conference on Machine Learning, 5084-5096, 2021
942021
Neural proximal/trust region policy optimization attains globally optimal policy
B Liu, Q Cai, Z Yang, Z Wang
arXiv preprint arXiv:1906.10306, 2019
842019
A two-timescale framework for bilevel optimization: Complexity analysis and application to actor-critic
M Hong, HT Wai, Z Wang, Z Yang
arXiv preprint arXiv:2007.05170, 2020
832020
Policy optimization provably converges to Nash equilibria in zero-sum linear quadratic games
K Zhang, Z Yang, T Basar
Advances in Neural Information Processing Systems 32, 2019
812019
Neural temporal-difference learning converges to global optima
Q Cai, Z Yang, JD Lee, Z Wang
Advances in Neural Information Processing Systems 32, 2019
732019
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
722018
Sparse nonlinear regression: Parameter estimation and asymptotic inference
Z Yang, Z Wang, H Liu, YC Eldar, T Zhang
arXiv preprint arXiv:1511.04514, 2015
71*2015
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
692021
Learning zero-sum simultaneous-move markov games using function approximation and correlated equilibrium
Q Xie, Y Chen, Z Wang, Z Yang
Conference on learning theory, 3674-3682, 2020
622020
Convergent policy optimization for safe reinforcement learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems 32, 2019
592019
Neural trust region/proximal policy optimization attains globally optimal policy
B Liu, Q Cai, Z Yang, Z Wang
Advances in neural information processing systems 32, 2019
462019
On semiparametric exponential family graphical models
Z Yang, Y Ning, H Liu
arXiv preprint arXiv:1412.8697, 2014
42*2014
Provably 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 32, 2019
412019
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