Tiancheng Qin

Trans. Mach. Learn. Res., 2024

Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent.

[BibT_eX]

[DOI]

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

2023

Scalable and Independent Learning of Nash Equilibrium Policies in n-Player Stochastic Games with Unknown Independent Chains.

[BibT_eX]

[DOI]

CoRR, 2023

Local Environment Poisoning Attacks on Federated Reinforcement Learning.

[BibT_eX]

[DOI]

Evelyn Ma

CoRR, 2023

Communication-Efficient Local SGD for Over-Parametrized Models with Partial Participation.

[BibT_eX]

[DOI]

Jayesh Yevale

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration.

[BibT_eX]

[DOI]

Masood S. Mortazavi

Ning Yan

CoRR, 2022

The Role of Local Steps in Local SGD.

[BibT_eX]

[DOI]

CoRR, 2022

Decentralized Federated Learning for Over-Parameterized Models.

[BibT_eX]

[DOI]

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

2021

Optimal Online Algorithms for File-Bundle Caching and Generalization to Distributed Caching.

[BibT_eX]

[DOI]

ACM Trans. Model. Perform. Evaluation Comput. Syst., 2021

A Randomized Algorithm for Generalized Accelerated Projection Method.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2021

Communication-Efficient Decentralized Local SGD over Undirected Networks.

[BibT_eX]

[DOI]