REPOGEO REPORT · LITE

opendilab/awesome-model-based-RL

Default branch main · commit 8e3dc99f · scanned 6/19/2026, 12:57:42 PM

GitHub: 1,367 stars · 78 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

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-model-based-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.

OVERALL DIRECTION

highreadme#1

Clarify repo's identity as a curated resource list in README

Why:

CURRENT

This is a collection of research papers for **model-based reinforcement learning (mbrl)**.

COPY-PASTE FIX

This is a continuously updated, curated **awesome list and resource hub** for research papers in **model-based reinforcement learning (MBRL)**.

mediumhomepage#2
Add the repository URL to the homepage field
Why:
COPY-PASTE FIX
```
https://github.com/opendilab/awesome-model-based-RL
```

mediumtopics#3

Expand topics to emphasize its function as a research paper list

Why:

CURRENT

awesome, awesome-list, model-based-reinforcement-learning, model-based-rl, reinforcement-learning, reinforcement-learning-algorithms

COPY-PASTE FIX

awesome, awesome-list, model-based-reinforcement-learning, model-based-rl, reinforcement-learning, reinforcement-learning-algorithms, research-papers, paper-list, resource-hub

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.

Recall

0 / 2

0% of queries surface opendilab/awesome-model-based-RL

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Scholar

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Google Scholar · recommended 2×
NeurIPS · recommended 2×
ICML · recommended 2×
ICLR · recommended 2×
Awesome Model-Based Reinforcement Learning · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive list of research papers on model-based reinforcement learning?
you: not recommended
AI recommended (in order):
1. Awesome Model-Based Reinforcement Learning
2. Google Scholar
3. arXiv.org
4. Papers With Code
5. NeurIPS
6. ICML
7. ICLR
8. AAAI
AI recommended 8 alternatives but never named opendilab/awesome-model-based-RL. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to stay updated with the latest advancements and conference papers in model-based RL?
you: not recommended
AI recommended (in order):
1. NeurIPS
2. ICML
3. ICLR
4. AAMAS
5. RSS
6. arXiv
7. DeepMind AI Blog
8. Google AI Blog
9. OpenAI Blog
10. Reddit
11. The Batch (DeepLearning.AI Newsletter)
12. Import AI (Jack Clark's Newsletter)
13. Connected Papers
14. Semantic Scholar
15. Google Scholar
AI recommended 15 alternatives but never named opendilab/awesome-model-based-RL. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
warn
Suggestion:
README presence
pass

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-model-based-RL?
pass
AI did not name opendilab/awesome-model-based-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-model-based-RL in production, what risks or prerequisites should they evaluate first?
pass
AI named opendilab/awesome-model-based-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-model-based-RL solve, and who is the primary audience?
pass
AI did not name opendilab/awesome-model-based-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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MARKDOWN (README)

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opendilab/awesome-model-based-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