Shicong Cen

According to our database1, Shicong Cen authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Beyond Expectations: Learning with Stochastic Dominance Made Practical.
CoRR, 2024

2023
Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence.
SIAM J. Optim., June, 2023

Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning.
CoRR, 2023

Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control.
CoRR, 2023

Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Asynchronous Gradient Play in Zero-Sum Multi-agent Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization.
Oper. Res., 2022

Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data.
IEEE Trans. Signal Process., 2020

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction.
J. Mach. Learn. Res., 2020

2019
A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization.
SIAM J. Optim., 2019

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking.
CoRR, 2019


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