5 papers
Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator
Spencer Hutchinson, Nanfei Jiang, Mahnoosh Alizadeh
We study the problem of adaptive control of the stochastic linear quadratic regulator (LQR) with constraints that must be satisfied at every time step. Prior work on the multidimen…
Pricing Electric Vehicle Charging and Station Access via Copositive Duality
Nanfei Jiang, Yi Zhou, Josh A. Taylor +1
Optimized charging of electric vehicles (EVs) at public locations consists of two decisions: how much energy to deliver at what times, which is continuous, and where to plug in, wh…
Solving Chance Constrained Programs via a Penalty based Difference of Convex Approach
Zhiping Li, Nan Jiang, Rujun Jiang
We develop two penalty based difference of convex (DC) algorithms for solving chance constrained programs. First, leveraging a rank-based DC decomposition of the chance constraint,…
Stochastic Gradient Descent with Strategic Querying
Nanfei Jiang, Hoi-To Wai, Mahnoosh Alizadeh
This paper considers a finite-sum optimization problem under first-order queries and investigates the benefits of strategic querying on stochastic gradient-based methods compared t…
Online Nonstochastic Control with Convex Safety Constraints
Nanfei Jiang, Spencer Hutchinson, Mahnoosh Alizadeh
This paper considers the online nonstochastic control problem of a linear time-invariant system under convex state and input constraints that need to be satisfied at all times. We…