Shicong Cen
Cited by
Cited by
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
Journal of Machine Learning Research 21 (180), 1-51, 2020
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
SIAM Journal on Optimization 33 (2), 1061-1091, 2023
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
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
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
S Cen, Y Chi, SS Du, L Xiao
International Conference on Learning Representations (ICLR), 2023
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
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
International Conference on Learning Representations (ICLR), 2023
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning
T Yang, S Cen, Y Wei, Y Chen, Y Chi
arXiv preprint arXiv:2311.00201, 2023
Beyond Expectations: Learning with Stochastic Dominance Made Practical
S Cen, J Mei, H Dai, D Schuurmans, Y Chi, B Dai
arXiv preprint arXiv:2402.02698, 2024
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control
S Cen, Y Chi
arXiv preprint arXiv:2310.05230, 2023
The system can't perform the operation now. Try again later.
Articles 1–12