5 citations · 9 across the 8 of their papers we have counts for
12 papers
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…
Online Residual Learning from Offline Experts for Pedestrian Tracking
Anastasios Vlachos, Anastasios Tsiamis, Aren Karapetyan +2
In this paper, we consider the problem of predicting unknown targets from data. We propose Online Residual Learning (ORL), a method that combines online adaptation with offline-tra…
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…
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…
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis, Aren Karapetyan, Yueshan Li +2
In this paper, we study the problem of online tracking in linear control systems, where the objective is to follow a moving target. Unlike classical tracking control, the target is…
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…
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…
On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control
Aren Karapetyan, Efe C. Balta, Andrea Iannelli +1
Inexact methods for model predictive control (MPC), such as real-time iterative schemes or time-distributed optimization, alleviate the computational burden of exact MPC by providi…
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…
Implications of Regret on Stability of Linear Dynamical Systems
Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta +2
The setting of an agent making decisions under uncertainty and under dynamic constraints is common for the fields of optimal control, reinforcement learning, and recently also for…
Performance Bounds of Model Predictive Control for Unconstrained and Constrained Linear Quadratic Problems and Beyond
Yuchao Li, Aren Karapetyan, John Lygeros +2
We study unconstrained and constrained linear quadratic problems and investigate the suboptimality of the model predictive control (MPC) method applied to such problems. Considerin…
On the Regret of Control
Aren Karapetyan, Andrea Iannelli, John Lygeros
The synthesis approach is a cornerstone robust control design technique, but is known to be conservative in some cases. The objective of this paper is to qua…