hanjuku-kaso/awesome-offline-rl

• highlicense#1

  Add a LICENSE file to the repository

  原因：

  复制粘贴的修复

  复制

  Create a `LICENSE` file in the repository root, for example, by adding the text of the MIT License or Apache-2.0 License to clarify how others can use and contribute to this project.

  待办完成忽略
• highreadme#2

  Strengthen README's positioning as a definitive resource

  原因：

  当前

  This is a collection of research and review papers for **offline reinforcement learning (offline rl)**.

  复制粘贴的修复

  复制

  This is the **definitive and comprehensive collection** of research and review papers for **offline reinforcement learning (offline rl)**, designed to be the go-to index for algorithms and methods.

  待办完成忽略
• mediumhomepage#3

  Add a homepage URL to the repository metadata

  原因：

  复制粘贴的修复

  复制

  Add a relevant homepage URL (e.g., a project website, a related research group page, or a link to the main paper if applicable) in the repository settings.

  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

  Where can I find a comprehensive list of algorithms for offline reinforcement learning?

  你：未被推荐
  AI 推荐顺序：

  1. Awesome Offline Reinforcement Learning GitHub Repository
  2. RL Unplugged
  3. D4RL
  4. Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems (Levine et al. 2020)
  5. Google Scholar
  6. arXiv
  7. CORL (Conservative Offline Reinforcement Learning)
  8. d3rlpy
  9. NeurIPS
  10. ICML
  11. ICLR

  AI 推荐了 11 个替代方案，却始终没点名 hanjuku-kaso/awesome-offline-rl。这就是要补上的差距。

  查看 AI 完整回答
• 品类问题

  What are the latest research papers and methods in off-policy evaluation for RL?

  你：未被推荐
  AI 推荐顺序：

  1. Doubly Robust
  2. Doubly Robust Off-Policy Evaluation with Shrinkage
  3. Doubly Robust Off-Policy Evaluation with Inverse Propensity Score Weighting
  4. Magic Policy Optimization
  5. Model-Based Off-Policy Evaluation
  6. Self-Normalized Importance Sampling
  7. Per-Decision Importance Sampling
  8. Minimax OPE
  9. Pessimistic OPE
  10. Gradient-Based OPE
  11. Policy Gradient-based OPE
  12. Contextual Bandits OPE
  13. Causal Inference-based OPE

  AI 推荐了 13 个替代方案，却始终没点名 hanjuku-kaso/awesome-offline-rl。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 hanjuku-kaso/awesome-offline-rl?

  pass
  ⚠AI 未点名 hanjuku-kaso/awesome-offline-rl —— 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 hanjuku-kaso/awesome-offline-rl in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 hanjuku-kaso/awesome-offline-rl

  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 hanjuku-kaso/awesome-offline-rl solve, and who is the primary audience?

  pass
  ⚠AI 未点名 hanjuku-kaso/awesome-offline-rl —— 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？