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Main Authors:	Li, Zhe, Agyeman, Bernard T., Mitrai, Ilias, Daoutidis, Prodromos
Format:	Preprint
Published:	2025
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2508.06700
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Graph-Based Imitation and Reinforcement Learning for Efficient Benders Decomposition
by: Agyeman, Bernard T., et al.
Published: (2025)

Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition
by: Mitrai, Ilias, et al.
Published: (2023)

A Hybrid Reinforcement and Self-Supervised Learning Aided Benders Decomposition Algorithm
by: Agyeman, Bernard T., et al.
Published: (2026)

Accelerating process control and optimization via machine learning: A review
by: Mitrai, Ilias, et al.
Published: (2024)

Integer L-Shaped Method with Non-Supporting No-Good Optimality Cuts
by: Riley, Benjamin P., et al.
Published: (2025)

Learning interpretable and stable dynamical models via mixed-integer Lyapunov-constrained optimization
by: Li, Zhe, et al.
Published: (2026)

Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees
by: Mitrai, Ilias
Published: (2025)

ReLU Surrogates in Mixed-Integer MPC for Irrigation Scheduling
by: Agyeman, Bernard T., et al.
Published: (2024)

Benders decomposition for the large-scale probabilistic set covering problem
by: Liang, Jie, et al.
Published: (2025)

Stabilized Benders decomposition for energy planning under climate uncertainty
by: Göke, Leonard, et al.
Published: (2022)

Clustering-enhanced adaptive Benders decomposition for energy systems planning optimization
by: Law, Jun Wen, et al.
Published: (2026)

Gradient directions and relative inexactness in optimization and machine learning
by: Vasin, Artem
Published: (2024)

Accelerating Benders decomposition for solving a sequence of sample average approximation replications
by: Kothari, Harshit, et al.
Published: (2024)

Towards large-scale probabilistic set covering problems: an efficient Benders decomposition approach
by: Lv, Wei, et al.
Published: (2024)

Adaptive Benders decomposition and enhanced SDDP for multistage stochastic programs with block-separable multistage recourse
by: Mazzi, Nicolò, et al.
Published: (2025)

Benders decomposition for congested partial set covering location with uncertain demand
by: Calamita, Alice, et al.
Published: (2024)

Characterizations of inexact proximal operators
by: Lauga, Guillaume, et al.
Published: (2026)

Integrated demand-side management and timetabling for an urban rail transit line: A Benders decomposition approach
by: Yang, Lixing, et al.
Published: (2025)

Disjunctive Benders Decomposition
by: Fang, Kaiwen, et al.
Published: (2025)

A globalized inexact semismooth Newton method for strongly convex optimal control problems
by: Wachsmuth, Daniel
Published: (2025)

A computationally efficient Benders decomposition for energy systems planning problems with detailed operations and time-coupling constraints
by: Jacobson, Anna, et al.
Published: (2023)

Integrating quantum and classical computing for multi-energy system optimization using Benders decomposition
by: Leenders, Ludger, et al.
Published: (2023)

Approximating value functions via corner Benders' cuts
by: Ota, Matheus J., et al.
Published: (2025)

Integrated investment, retrofit and abandonment energy system planning with multi-timescale uncertainty using stabilised adaptive Benders decomposition
by: Zhang, Hongyu, et al.
Published: (2023)

Deepest Cuts for Benders Decomposition
by: Hosseini, Mojtaba, et al.
Published: (2021)

An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learning
by: Salehi, Mohammad Sadegh, et al.
Published: (2023)

An inexact inertial projective splitting algorithm with strong convergence
by: Alves, M. Marques, et al.
Published: (2025)

An inexact alternating projection method with application to matrix completion
by: Bellavia, Stefania, et al.
Published: (2025)

Learning to Cut: Reinforcement Learning for Benders Decomposition
by: Cai, Haochen, et al.
Published: (2026)

Improved description of Blaschke--Santaló diagrams via numerical shape optimization
by: Ftouhi, Ilias
Published: (2025)

Convex semi-infinite programming algorithms with inexact separation oracles
by: Oustry, Antoine, et al.
Published: (2023)

Model-free $H_{\infty}$ control of Itô stochastic system via off-policy reinforcement learning
by: Guo, Jing Guo Jing, et al.
Published: (2024)

Extracting Alternative Solutions from Benders Decomposition
by: Viens, Matthew, et al.
Published: (2025)

Benders Decomposition for Bi-objective Linear Programs
by: Raith, Andrea, et al.
Published: (2022)

An inexact variable metric proximal linearization method for composite optimization on manifolds
by: He, Hao, et al.
Published: (2025)

Proximal gradient methods with inexact oracle of degree q for composite optimization
by: Nabou, Yassine, et al.
Published: (2024)

A randomized algorithm for nonconvex minimization with inexact evaluations and complexity guarantees
by: Li, Shuyao, et al.
Published: (2023)

Inverse reinforcement learning by expert imitation for the stochastic linear-quadratic optimal control problem
by: Sun, Zhongshi, et al.
Published: (2024)

One Benders cut to rule all schedules in the neighbourhood
by: Avgerinos, Ioannis, et al.
Published: (2023)

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