42 citations · 315 across the 66 of their papers we have counts for
5 papers · 2 filters
A Prediction-Correction Algorithm for Real-Time Model Predictive Control
Santiago Paternain, Manfred Morari, Alejandro Ribeiro
In this work we adapt a prediction-correction algorithm for continuous time-varying convex optimization problems to solve dynamic programs arising from Model Predictive Control. In…
Model-Free Learning of Optimal Ergodic Policies in Wireless Systems
Dionysios S. Kalogerias, Mark Eisen, George J. Pappas +1
Learning optimal resource allocation policies in wireless systems can be effectively achieved by formulating finite dimensional constrained programs which depend on system configur…
Safe Policies for Reinforcement Learning via Primal-Dual Methods
Santiago Paternain, Miguel Calvo-Fullana, Luiz F. O. Chamon +1
In this paper, we study the learning of safe policies in the setting of reinforcement learning problems. This is, we aim to control a Markov Decision Process (MDP) of which we do n…
Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient
Vinicius Lima Silva, Mark Eisen, Konstantinos Gatsis +1
In wireless control systems, remote control of plants is achieved through closing of the control loop over a wireless channel. As wireless communication is noisy and subject to pac…
Optimal Power Flow Using Graph Neural Networks
Damian Owerko, Fernando Gama, Alejandro Ribeiro
Optimal power flow (OPF) is one of the most important optimization problems in the energy industry. In its simplest form, OPF attempts to find the optimal power that the generators…