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20232026
most citedComputationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition

13 citations · 14 across the 16 of their papers we have counts for

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3 papers · 1 filter

math.OC2025

Graph-Based Imitation and Reinforcement Learning for Efficient Benders Decomposition

Bernard T. Agyeman, Zhe Li, Ilias Mitrai +1

This work introduces an end-to-end graph-based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural n…

eess.SY2025

Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees

Ilias Mitrai

In this paper, we propose symbolic decision trees as surrogate models for approximating model predictive control laws. The proposed approach learns simultaneously the partition of…

math.OC2025

Learning to control inexact Benders decomposition via reinforcement learning

Zhe Li, Bernard T. Agyeman, Ilias Mitrai +1

Benders decomposition (BD), along with its generalized version (GBD), is a widely used algorithm for solving large-scale mixed-integer optimization problems that arise in the opera…