| 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 | 215 | 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 | 130* | 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 | 83 | 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 | 78 | 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 | 40 | 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 | 37 | 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 | 32 | 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 | 15 | 2022 |
| Asynchronous Gradient Play in Zero-Sum Multi-agent Games R Ao, S Cen, Y Chi International Conference on Learning Representations (ICLR), 2023 | 7 | 2023 |
| Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF S Cen, J Mei, K Goshvadi, H Dai, T Yang, S Yang, D Schuurmans, Y Chi, ... arXiv preprint arXiv:2405.19320, 2024 | 5 | 2024 |
| 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 | 4 | 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 | | 2024 |
| Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control S Cen, Y Chi arXiv preprint arXiv:2310.05230, 2023 | | 2023 |
Yuejie ChiCarnegie Mellon UniversityVerified email at cmu.edu
