Shicong Cen
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Fast global convergence of natural policy gradient methods with entropy regularization
S Cen, C Cheng, Y Chen, Y Wei, Y Chi
Operations Research 70 (4), 2563-2578, 2022
Communication-efficient distributed optimization in networks with gradient tracking and variance reduction
B Li, S Cen, Y Chen, Y Chi
The Journal of Machine Learning Research 21 (1), 7331-7381, 2020
Fast policy extragradient methods for competitive games with entropy regularization
S Cen, Y Wei, Y Chi
Advances in Neural Information Processing Systems 34, 27952-27964, 2021
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence
W Zhan, S Cen, B Huang, Y Chen, JD Lee, Y Chi
arXiv preprint arXiv:2105.11066, 2021
A stochastic semismooth newton method for nonsmooth nonconvex optimization
A Milzarek, X Xiao, S Cen, Z Wen, M Ulbrich
SIAM Journal on Optimization 29 (4), 2916-2948, 2019
Convergence of distributed stochastic variance reduced methods without sampling extra data
S Cen, H Zhang, Y Chi, W Chen, TY Liu
IEEE Transactions on Signal Processing 68, 3976-3989, 2020
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
S Cen, Y Chi, SS Du, L Xiao
arXiv preprint arXiv:2210.01050, 2022
Independent natural policy gradient methods for potential games: Finite-time global convergence with entropy regularization
S Cen, F Chen, Y Chi
2022 IEEE 61st Conference on Decision and Control (CDC), 2833-2838, 2022
Asynchronous Gradient Play in Zero-Sum Multi-agent Games
R Ao, S Cen, Y Chi
arXiv preprint arXiv:2211.08980, 2022
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