Cover Image

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yuan, Haofeng, Fang, Lichang, Song, Shiji
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

All You Need is an Improving Column: Enhancing Column Generation for Parallel Machine Scheduling via Transformers
by: Hijazi, Amira, et al.
Published: (2024)

Machine Learning-Enhanced Ant Colony Optimization for Column Generation
by: Xu, Hongjie, et al.
Published: (2024)

Deep Reinforcement Learning for Traveling Purchaser Problems
by: Yuan, Haofeng, et al.
Published: (2024)

Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization
by: Yang, Yiran, et al.
Published: (2025)

Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling
by: Lu, Jiawei, et al.
Published: (2024)

FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
by: Hu, Yi-Xiang, et al.
Published: (2024)

Adaptive Stabilization Based on Machine Learning for Column Generation
by: Shen, Yunzhuang, et al.
Published: (2024)

Learning to Control Stabilization in Column Generation
by: Wang, Olivia, et al.
Published: (2026)

Column Generation for Periodic Timetabling
by: Riedmüller, Stephanie, et al.
Published: (2025)

On the Width Scaling of Neural Optimizers Under Matrix Operator Norms I: Row/Column Normalization and Hyperparameter Transfer
by: Xu, Ruihan, et al.
Published: (2026)

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning
by: Zhan, Donglin, et al.
Published: (2025)

Adaptive Partitioning in Column Generation for Nested Paths
by: van Rossum, Bart, et al.
Published: (2026)

Hyperparameter Optimization for Driving Strategies Based on Reinforcement Learning
by: Adde, Nihal Acharya, et al.
Published: (2024)

Identifying Multi-Hit Cancer Drivers Without Massive Parallelization: A CP, MIP, and Column Generation Framework
by: Willemsen, Rick S. H., et al.
Published: (2026)

A Reinforcement-learning-based Column Generation Algorithm for Integrated Operating Room Planning and Scheduling
by: Dolatkhah, Mahdi, et al.
Published: (2026)

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
by: Song, Yongcun, et al.
Published: (2023)

A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
by: Zhao, Heyang, et al.
Published: (2023)

A Minibatch-SGD-Based Learning Meta-Policy for Inventory Systems with Myopic Optimal Policy
by: Lyu, Jiameng, et al.
Published: (2024)

Column Generation for the Micro-Transit Zoning Problem
by: Hu, Hins, et al.
Published: (2026)

A Pontryagin Perspective on Reinforcement Learning
by: Eberhard, Onno, et al.
Published: (2024)

Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management
by: Meng, Huiling, et al.
Published: (2024)

Drone-Aided Blood Collection Routing Problem: A Column Generation Approach
by: Abbaszadeh, Amirhossein, et al.
Published: (2026)

Deep Learning for the Multiple Optimal Stopping Problem
by: Laurière, Mathieu, et al.
Published: (2025)

Deep Reinforcement Learning: A Convex Optimization Approach
by: Gattami, Ather
Published: (2024)

Resilient Constrained Reinforcement Learning
by: Ding, Dongsheng, et al.
Published: (2023)

DER Day-Ahead Offering: A Neural Network Column-and-Constraint Generation Approach
by: Meng, Weiqi, et al.
Published: (2025)

Residuals-based Offline Reinforcement Learning
by: Zhu, Qing, et al.
Published: (2026)

Foundations of Multivariate Distributional Reinforcement Learning
by: Wiltzer, Harley, et al.
Published: (2024)

Operator World Models for Reinforcement Learning
by: Novelli, Pietro, et al.
Published: (2024)

Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
by: Li, Jin, et al.
Published: (2021)

A Consistency-Centric Approach to Set-Based Optimization with Multiple Models of Unranked Fidelity
by: Morey, Danielle F., et al.
Published: (2026)

On Column sufficiency and Extended Horizontal Linear Complementarity Problem
by: Yadav, Punit Kumar, et al.
Published: (2025)

Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control
by: Ng, Max T. M., et al.
Published: (2025)

On the Foundation of Distributionally Robust Reinforcement Learning
by: Wang, Shengbo, et al.
Published: (2023)

Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
by: Long, Kehan, et al.
Published: (2025)

Tail Distribution of Regret in Optimistic Reinforcement Learning
by: Khodadadian, Sajad, et al.
Published: (2025)

Reinforcement Learning and Regret Bounds for Admission Control
by: Weber, Lucas, et al.
Published: (2024)

Reinforcement Learning applied to Insurance Portfolio Pursuit
by: Young, Edward James, et al.
Published: (2024)

Structured Reinforcement Learning for Combinatorial Decision-Making
by: Hoppe, Heiko, et al.
Published: (2025)

Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by: Jiang, Jinyang, et al.
Published: (2025)