9 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…
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…
Constrained Online Convex Optimization with Polyak Feasibility Steps
Spencer Hutchinson, Mahnoosh Alizadeh
In this work, we study online convex optimization with a fixed constraint function . Prior work on this problem has shown reg…
The Safety-Privacy Tradeoff in Linear Bandits
Arghavan Zibaie, Spencer Hutchinson, Ramtin Pedarsani +1
We consider a collection of linear stochastic bandit problems, each modeling the random response of different agents to proposed interventions, coupled together by a global safety…
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…