Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
This resource is a curated list of academic papers that explore how machine learning can be applied to solve complex combinatorial optimization problems. It takes research on various optimization challenges like vehicle routing, scheduling, or resource allocation, and provides references to papers using machine learning techniques. Operations researchers, industrial engineers, and data scientists seeking advanced methods to optimize real-world processes would find this valuable.
2,087 stars.
Use this if you are a researcher or practitioner looking for cutting-edge academic work on using machine learning to solve difficult optimization challenges in logistics, manufacturing, or resource management.
Not ideal if you are looking for ready-to-use software tools or an introductory guide to combinatorial optimization concepts.
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2,087
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233
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Python
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Last pushed
Nov 07, 2025
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