Shicong Cen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Policy Gradient Methods

Top Venues

Publications

Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR (2024)
Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. CoRR (2024)
Ruicheng Ao, Shicong Cen, Yuejie Chi
Asynchronous Gradient Play in Zero-Sum Multi-agent Games. ICLR (2023)
Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. ICLR (2023)
Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR (2023)
Shicong Cen, Yuejie Chi
Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control. CoRR (2023)
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. 33 (2) (2023)
Ruicheng Ao, Shicong Cen, Yuejie Chi
Asynchronous Gradient Play in Zero-Sum Multi-agent Games. CoRR (2022)
Shicong Cen, Fan Chen, Yuejie Chi
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CDC (2022)
Shicong Cen, Fan Chen, Yuejie Chi
Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CoRR (2022)
Shicong Cen, Yuejie Chi, Simon S. Du, Lin Xiao
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. CoRR (2022)
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. 70 (4) (2022)
Shicong Cen, Yuting Wei, Yuejie Chi
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. NeurIPS (2021)
Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR (2021)
Shicong Cen, Yuting Wei, Yuejie Chi
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. CoRR (2021)
Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data. IEEE Trans. Signal Process. 68 (2020)
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. 21 (2020)
Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR (2020)
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS (2020)
Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR (2019)
Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. 29 (4) (2019)
Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data. CoRR (2019)