REPOGEO REPORT · LITE
opendilab/awesome-diffusion-model-in-rl
Default branch main · commit 28f54659 · scanned 6/24/2026, 9:27:55 AM
GitHub: 1,616 stars · 76 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 opendilab/awesome-diffusion-model-in-rl, 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 README intro to emphasize 'awesome list' and 'curated resource'
Why:
CURRENTThis is a collection of research papers for **Diffusion Model in RL**.
COPY-PASTE FIXThis is an **awesome list** and a curated collection of research papers and resources for **Diffusion Model in RL**, designed to be a central hub for tracking the field's frontier.
- mediumtopics#2Add 'awesome-list' to topics
Why:
CURRENTdeep-reinforcement-learning, diffusion-model, diffusion-models, reinfocement-learning
COPY-PASTE FIXdeep-reinforcement-learning, diffusion-model, diffusion-models, reinfocement-learning, awesome-list
- lowhomepage#3Add homepage URL to About section
Why:
COPY-PASTE FIXhttps://github.com/opendilab/awesome-diffusion-model-in-rl
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.org · recommended 1×
- Google Scholar · recommended 1×
- Papers With Code · recommended 1×
- NeurIPS · recommended 1×
- ICML · recommended 1×
- CATEGORY QUERYWhere can I find recent research papers on applying diffusion models in reinforcement learning?you: not recommendedAI recommended (in order):
- arXiv.org
- Google Scholar
- Papers With Code
- NeurIPS
- ICML
- ICLR
- AAAI
- CVPR
- ICCV
- OpenReview
- Twitter (X)
- Mastodon
- ResearchGate
- Academia.edu
AI recommended 14 alternatives but never named opendilab/awesome-diffusion-model-in-rl. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are the best resources for understanding diffusion models in deep reinforcement learning?you: not recommendedAI recommended (in order):
- Diffusion Models in Reinforcement Learning: A Survey
- Decision Diffuser: Planning with Diffusion Models for Reinforcement Learning
- Score-Based Generative Modeling through Stochastic Differential Equations
- Denoising Diffusion Probabilistic Models
- Diffusion Policies for Offline Reinforcement Learning
- Diffusion-RL: Online and Offline Reinforcement Learning with Diffusion Models
- OpenAI
AI recommended 7 alternatives but never named opendilab/awesome-diffusion-model-in-rl. 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 opendilab/awesome-diffusion-model-in-rl?passAI did not name opendilab/awesome-diffusion-model-in-rl — 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?
- If a team adopts opendilab/awesome-diffusion-model-in-rl in production, what risks or prerequisites should they evaluate first?passAI named opendilab/awesome-diffusion-model-in-rl 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 opendilab/awesome-diffusion-model-in-rl solve, and who is the primary audience?passAI did not name opendilab/awesome-diffusion-model-in-rl — 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
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opendilab/awesome-diffusion-model-in-rl — 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