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20242026
most citedImitation Learning from Observations: An Autoregressive Mixture of Experts Approach

1 citations · 1 across the 6 of their papers we have counts for

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6 papers

math.OC2026

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…

math.OC2025

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…

math.OC2025

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-…

math.OC2025

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…

eess.SY2025

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…

cs.LG2024★ 1 cited

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…