36 citations · 206 across the 41 of their papers we have counts for
8 papers · 1 filter
Unsupervised Optimal Power Flow Using Graph Neural Networks
Damian Owerko, Fernando Gama, Alejandro Ribeiro
Optimal power flow (OPF) is a critical optimization problem that allocates power to the generators in order to satisfy the demand at a minimum cost. Solving this problem exactly is…
Parameter Critic: a Model Free Variance Reduction Method Through Imperishable Samples
Juan Cervino, Harshat Kumar, Alejandro Ribeiro
We consider the problem of finding a policy that maximizes an expected reward throughout the trajectory of an agent that interacts with an unknown environment. Frequently denoted R…
Risk-Constrained Linear-Quadratic Regulators
Anastasios Tsiamis, Dionysios S. Kalogerias, Luiz F. O. Chamon +2
We propose a new risk-constrained reformulation of the standard Linear Quadratic Regulator (LQR) problem. Our framework is motivated by the fact that the classical (risk-neutral) L…
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms
Ting-Kuei Hu, Fernando Gama, Tianlong Chen +3
Decentralized coordination of a robot swarm requires addressing the tension between local perceptions and actions, and the accomplishment of a global objective. In this work, we pr…
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…