15 citations · 15 across the 4 of their papers we have counts for
4 papers · 1 filter
Model-free Learning for Risk-constrained Linear Quadratic Regulator with Structured Feedback in Networked Systems
Kyung-bin Kwon, Lintao Ye, Vijay Gupta +1
We develop a model-free learning algorithm for the infinite-horizon linear quadratic regulator (LQR) problem. Specifically, (risk) constraints and structured feedback are considere…
Distributed Maximization of Submodular and Approximately Submodular Functions
Lintao Ye, Shreyas Sundaram
We study the problem of maximizing a submodular function, subject to a cardinality constraint, with a set of agents communicating over a connected graph. We propose a distributed g…
Resilient Sensor Placement for Kalman Filtering in Networked Systems: Complexity and Algorithms
Lintao Ye, Sandip Roy, Shreyas Sundaram
Given a linear dynamical system affected by noise, we study the problem of optimally placing sensors (at design-time) subject to a sensor placement budget constraint in order to mi…
On the Complexity and Approximability of Optimal Sensor Selection and Attack for Kalman Filtering
Lintao Ye, Nathaniel Woodford, Sandip Roy +1
Given a linear dynamical system affected by stochastic noise, we consider the problem of selecting an optimal set of sensors (at design-time) to minimize the trace of the steady st…