3 papers
cs.DS2025
Fast online node labeling with graph subsampling
Yushen Huang, Ertai Luo, Reza Babenezhad +1
Large data applications rely on storing data in massive, sparse graphs with millions to trillions of nodes. Graph-based methods, such as node prediction, aim for computational effi…
cs.LG2024
When to Trust Your Data: Enhancing Dyna-Style Model-Based Reinforcement Learning With Data Filter
Yansong Li, Zeyu Dong, Ertai Luo +3
Reinforcement learning (RL) algorithms can be divided into two classes: model-free algorithms, which are sample-inefficient, and model-based algorithms, which suffer from model bia…
eess.SY2024
Reachability Analysis for Linear Systems with Uncertain Parameters using Polynomial Zonotopes
Yushen Huang, Ertai Luo, Stanley Bak +1
In real world applications, uncertain parameters are the rule rather than the exception. We present a reachability algorithm for linear systems with uncertain parameters and inputs…