Shicong Cen

According to our database, Shicong Cen authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization.

Shicong Cen, Yuting Wei, Yuejie Chi

J. Mach. Learn. Res., 2024

Faster WIND: Accelerating Iterative Best-of-<i>N</i> Distillation for LLM Alignment.

Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai

CoRR, 2024

Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF.

Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai

CoRR, 2024

Beyond Expectations: Learning with Stochastic Dominance Made Practical.

Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai

CoRR, 2024

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning.

Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence.

Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi

SIAM J. Optim., June, 2023

Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning.

Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi

CoRR, 2023

Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control.

Shicong Cen, Yuejie Chi

CoRR, 2023

Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games.

Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Asynchronous Gradient Play in Zero-Sum Multi-agent Games.

Ruicheng Ao, Shicong Cen, Yuejie Chi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization.

Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi

Oper. Res., 2022

Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization.

Shicong Cen, Fan Chen, Yuejie Chi

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2020

Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data.

Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu

IEEE Trans. Signal Process., 2020

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction.

Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi

J. Mach. Learn. Res., 2020

2019

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization.

Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich

SIAM J. Optim., 2019

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking.

Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi

CoRR, 2019