Shengyuan Niu

According to our database, Shengyuan Niu authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Functional Uncertainty Classes, Nonparametric Adaptive Contro Functional Uncertainty Classes for Nonparametric Adaptive Control: the Curse of Dimensionality.

Haoran Wang, Shengyuan Niu, Henry Moon, Ian Willebeek-LeMair, Andrew J. Kurdila, Andrea L'Afflitto, Daniel J. Stilwell

CoRR, October, 2025

Vector-Valued Native Space Embedding for Adaptive State Observation.

Shengyuan Niu, Haoran Wang, Heejip Moon, Andrea L'Afflitto, Andrew Kurdila, Daniel J. Stilwell

CoRR, October, 2025

2024

Convergence Rates of Online Critic Value Function Approximation in Native Spaces.

Shengyuan Niu, Ali Bouland, Haoran Wang, Filippos Fotiadis, Andrew Kurdila, Andrea L'Afflitto, Sai Tej Paruchuri, Kyriakos G. Vamvoudakis

IEEE Control. Syst. Lett., 2024

Rates of Convergence in a Class of Native Spaces for Reinforcement Learning and Control.

Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster

IEEE Control. Syst. Lett., 2024

Invariance and Approximation of Koopman Operators in Native Spaces.

Nathan Powell, Sai Tej Paruchuri, Ali Bouland, Shengyuan Niu, Andrew Kurdila

Proceedings of the American Control Conference, 2024

2023

Rates of Convergence in Certain Native Spaces of Approximations used in Reinforcement Learning.

Ali Bouland, Shengyuan Niu, Sai Tej Paruchuri, Andrew Kurdila, John A. Burns, Eugenio Schuster

CoRR, 2023