REPOGEO REPORT · LITE
WindyLab/LLM-RL-Papers
Default branch main · commit 68a8406a · scanned 6/3/2026, 8:07:42 PM
GitHub: 554 stars · 37 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface WindyLab/LLM-RL-Papers, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Reposition the README H1 to clarify the repo's purpose
Why:
CURRENT# LLM RL Papers
COPY-PASTE FIX# LLM & RL Papers: A Curated Collection for Control Applications
- hightopics#2Refine and correct repository topics
Why:
CURRENTcontrol, docs, llm, papers, reinfrocement-learning
COPY-PASTE FIXcontrol, llm, papers, reinforcement-learning, curated-list, robotics, game-agents
- highlicense#3Add a standard open-source license file
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root, for example, with the CC-BY-4.0 license text, which is suitable for content collections.
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- arXiv · recommended 1×
- Google Scholar · recommended 1×
- NeurIPS (Neural Information Processing Systems) Proceedings · recommended 1×
- ICLR (International Conference on Learning Representations) Proceedings · recommended 1×
- Google DeepMind · recommended 1×
- CATEGORY QUERYWhere can I find recent research papers on combining large language models with reinforcement learning for control?you: not recommendedAI recommended (in order):
- arXiv
- Google Scholar
- NeurIPS (Neural Information Processing Systems) Proceedings
- ICLR (International Conference on Learning Representations) Proceedings
- Google DeepMind
- OpenAI
- Meta AI
- Stanford AI Lab (SAIL)
- UC Berkeley AI Research (BAIR)
- Robotics: Science and Systems (RSS) Proceedings
- IEEE Transactions on Robotics (TRO)
- International Journal of Robotics Research (IJRR)
AI recommended 12 alternatives but never named WindyLab/LLM-RL-Papers. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the latest advancements in using large language models to enhance reinforcement learning for robotics?you: not recommendedAI recommended (in order):
- SayCan
- Inner Monologue
- PaLM-E
- Code as Policies
- RT-1
- RT-2
- RLHF
- Unity
- Isaac Sim
AI recommended 9 alternatives but never named WindyLab/LLM-RL-Papers. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of WindyLab/LLM-RL-Papers?passAI named WindyLab/LLM-RL-Papers explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts WindyLab/LLM-RL-Papers in production, what risks or prerequisites should they evaluate first?passAI named WindyLab/LLM-RL-Papers explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo WindyLab/LLM-RL-Papers solve, and who is the primary audience?passAI did not name WindyLab/LLM-RL-Papers — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
Drop this badge into the README of WindyLab/LLM-RL-Papers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
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WindyLab/LLM-RL-Papers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite