activity
20242026
collaborators

8 papers

cs.AI2026

Chess on Ice: Curling Tactical Decision-Making via Backward Induction and Deep Reinforcement Learning

Patrick Oberlin, Matteo Cederle, Aren Karapetyan +3

Curling is often referred to as "Chess on Ice", owing to the tactical complexity of its decision-making process. Yet unlike chess, curling remains largely underexplored from a mach…

math.OC2025

Parallel Model Predictive Control for Deterministic Systems

Yuchao Li, Aren Karapetyan, Niklas Schmid +3

In this note, we consider infinite horizon optimal control problems with deterministic systems. Since exact solutions to these problems are often intractable, we propose a parallel…

eess.SY2025

Closed-Loop Finite-Time Analysis of Suboptimal Online Control

Aren Karapetyan, Efe C. Balta, Andrea Iannelli +1

Suboptimal methods in optimal control arise due to a limited computational budget, unknown system dynamics, or a short prediction window among other reasons. Although these methods…

eess.SY2025

On the Regret of Recursive Methods for Discrete-Time Adaptive Control with Matched Uncertainty

Aren Karapetyan, Efe C. Balta, Anastasios Tsiamis +2

Continuous-time adaptive controllers for systems with a matched uncertainty often comprise an online parameter estimator and a corresponding parameterized controller to cancel the…

math.OC2024

Closed-loop Analysis of ADMM-based Suboptimal Linear Model Predictive Control

Anusha Srikanthan, Aren Karapetyan, Vijay Kumar +1

Many practical applications of optimal control are subject to real-time computational constraints. When applying model predictive control (MPC) in these settings, respecting timing…

eess.SY2024

Online Linear Quadratic Tracking with Regret Guarantees

Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis +2

Online learning algorithms for dynamical systems provide finite time guarantees for control in the presence of sequentially revealed cost functions. We pose the classical linear qu…