Thinklab-SJTU/awesome-ml4co

• highlicense#1

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a LICENSE file (e.g., MIT License) in the repository root to clearly state the terms of use for the content.

  待办完成忽略
• highreadme#2

  Reposition README H1 to emphasize 'awesome list' type

  原因：

  当前

  # Awesome Machine Learning for Combinatorial Optimization Resources

  复制粘贴的修复

  复制

  # Awesome List of Machine Learning for Combinatorial Optimization Papers and Resources

  待办完成忽略
• mediumtopics#3

  Expand repository topics with specific sub-domains

  原因：

  当前

  combinatorial-optimization, machine-learning, operations-research, paper-list

  复制粘贴的修复

  复制

  combinatorial-optimization, machine-learning, operations-research, paper-list, reinforcement-learning, graph-neural-networks, travelling-salesman-problem, job-shop-scheduling, np-hard-problems

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  What are the latest research papers applying machine learning to combinatorial optimization challenges?

  你：未被推荐
  查看 AI 完整回答
• 品类问题

  Looking for academic resources on using AI to solve NP-hard problems like TSP or JSSP.

  你：未被推荐
  AI 推荐顺序：

  1. Neural Combinatorial Optimization with Reinforcement Learning
  2. Attention, Learn to Solve Routing Problems!
  3. Learning Combinatorial Optimization Algorithms over Graphs
  4. Learning to Branch
  5. Large Language Models as Optimizers
  6. GPT-3.5
  7. GPT-4
  8. Solving Combinatorial Optimization Problems with Language Models
  9. Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization
  10. Genetic Algorithms (GAs) with Neural Network-based Local Search
  11. Learning to Search with Deep Reinforcement Learning

  AI 推荐了 11 个替代方案，却始终没点名 Thinklab-SJTU/awesome-ml4co。这就是要补上的差距。

  查看 AI 完整回答

• Metadata completeness

  warn

  建议：

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of Thinklab-SJTU/awesome-ml4co?

  pass
  ⚠AI 未点名 Thinklab-SJTU/awesome-ml4co —— 很可能在说另一个项目

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts Thinklab-SJTU/awesome-ml4co in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 Thinklab-SJTU/awesome-ml4co

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo Thinklab-SJTU/awesome-ml4co solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 Thinklab-SJTU/awesome-ml4co

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？