Sledovat
Zhuoran Yang
Název
Citace
Citace
Rok
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
10792021
Provably efficient reinforcement learning with linear function approximation
C Jin, Z Yang, Z Wang, MI Jordan
Conference on Learning Theory, 2137-2143, 2020
6332020
A Theoretical Analysis of Deep Q-Learning
585*2020
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
5772018
Is pessimism provably efficient for offline rl?
Y Jin, Z Yang, Z Wang
International Conference on Machine Learning, 5084-5096, 2021
2882021
Provably efficient exploration in policy optimization
Q Cai, Z Yang, C Jin, Z Wang
International Conference on Machine Learning, 1283-1294, 2020
2552020
Neural policy gradient methods: Global optimality and rates of convergence
L Wang, Q Cai, Z Yang, Z Wang
arXiv preprint arXiv:1909.01150, 2019
2112019
A two-timescale stochastic algorithm framework for bilevel optimization: Complexity analysis and application to actor-critic
M Hong, HT Wai, Z Wang, Z Yang
SIAM Journal on Optimization 33 (1), 147-180, 2023
1882023
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
1792018
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
1262020
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
1252021
Neural Temporal Difference and Q Learning Provably Converge to Global Optima
Q Cai, Z Yang, JD Lee, Z Wang
Mathematics of Operations Research, 2023
124*2023
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
1222019
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
1162019
Neural proximal/trust region policy optimization attains globally optimal policy
B Liu, Q Cai, Z Yang, Z Wang
arXiv preprint arXiv:1906.10306, 2019
1052019
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
982018
Convergent policy optimization for safe reinforcement learning
M Yu, Z Yang, M Kolar, Z Wang
Advances in Neural Information Processing Systems 32, 2019
972019
A near-optimal algorithm for stochastic bilevel optimization via double-momentum
P Khanduri, S Zeng, M Hong, HT Wai, Z Wang, Z Yang
Advances in neural information processing systems 34, 30271-30283, 2021
952021
On function approximation in reinforcement learning: Optimism in the face of large state spaces
Z Yang, C Jin, Z Wang, M Wang, MI Jordan
arXiv preprint arXiv:2011.04622, 2020
93*2020
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
802019
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Články 1–20