1 citations · 1 across the 6 of their papers we have counts for
6 papers
Exploiting Parallelism in a QPALM-based Solver for Optimal Control
Pieter Pas, Kristoffer Fink Løwenstein, Daniele Bernardini +1
We discuss the opportunities for parallelization in the recently proposed QPALM-OCP algorithm, a solver tailored to quadratic programs arising in optimal control. A significant par…
Cyqlone: A Parallel, High-Performance Linear Solver for Optimal Control
Pieter Pas, Panagiotis Patrinos
We present Cyqlone, a solver for linear systems with a stage-wise optimal control structure that fully exploits the various levels of parallelism available in modern hardware. Cyql…
Blocked Cholesky factorization updates of the Riccati recursion using hyperbolic Householder transformations
Pieter Pas, Panagiotis Patrinos
Newton systems in quadratic programming (QP) methods are often solved using direct Cholesky or LDL factorizations. When the linear systems in successive iterations differ by a low-…
Complexity of Linearized Perturbed Augmented Lagrangian Methods for Nonsmooth Nonconvex Optimization with Nonlinear Equality Constraints
Lahcen El Bourkhissi, Ion Necoara, Panagiotis Patrinos +1
This paper addresses a class of general nonsmooth and nonconvex composite optimization problems subject to nonlinear equality constraints. We assume that a part of the objective fu…
ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights
Jean Pierre Allamaa, Panagiotis Patrinos, Tong Duy Son
Amidst the surge in the use of Artificial Intelligence (AI) for control purposes, classical and model-based control methods maintain their popularity due to their transparency and…
Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach
Renzi Wang, Flavia Sofia Acerbo, Tong Duy Son +1
This paper presents a novel approach to imitation learning from observations, where an autoregressive mixture of experts model is deployed to fit the underlying policy. The paramet…