A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems

A Systematic Review on Reinforcement Learning for Industrial Combinatorial Optimization Problems

This paper presents a systematic review on reinforcement learning approaches for combinatorial optimization problems based on real-world industrial applications. While this topic is increasing in popularity, explicit implementation details are not always available in the literature. The main objecti...

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Bibliographic Details
Main Authors: Miguel S. E. Martins, João M. C. Sousa, Susana Vieira
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
combinatorial optimization
reinforcement learning
state space
action mapping
reward design
industry, innovation and infrastructure
Online Access:https://www.mdpi.com/2076-3417/15/3/1211
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