RRepoGEO

REPOGEO REPORT · LITE

AI4Finance-Foundation/ElegantRL

Default branch master · commit 24228304 · scanned 5/8/2026, 10:32:19 PM

GitHub: 4,321 stars · 970 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 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 AI4Finance-Foundation/ElegantRL, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • mediumtopics#1
    Add finance-specific topics

    Why:

    CURRENT
    a2c, bipedalwalkerhardcore, ddpg, dqn, drl-pytorch, efficient, gae, lightweight, model-free-rl, multiple-gpu, per, ppo, pytorch, reinforcement-learning, sac, stable, td3
    COPY-PASTE FIX
    a2c, bipedalwalkerhardcore, ddpg, dqn, drl-pytorch, efficient, gae, lightweight, model-free-rl, multiple-gpu, per, ppo, pytorch, reinforcement-learning, sac, stable, td3, quantitative-finance, finrl, financial-reinforcement-learning
  • lowlicense#2
    Clarify existing license in README

    Why:

    COPY-PASTE FIX
    ElegantRL is released under [Specify License Name(s) here, e.g., a custom license or a combination of licenses]. Please refer to the `LICENSE` file for full details.

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 AI4Finance-Foundation/ElegantRL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tianshou
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tianshou · recommended 2×
  2. CleanRL · recommended 2×
  3. Ray RLlib · recommended 1×
  4. Ray · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    What are some efficient frameworks for massively parallel deep reinforcement learning research?
    you: not recommended
    AI recommended (in order):
    1. Ray RLlib
    2. Ray
    3. TensorFlow
    4. PyTorch
    5. OpenSpiel
    6. Acme
    7. JAX
    8. Seed RL
    9. gRPC
    10. Tianshou
    11. CleanRL

    AI recommended 11 alternatives but never named AI4Finance-Foundation/ElegantRL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a lightweight, clean PyTorch library for implementing core reinforcement learning algorithms simply.
    you: not recommended
    AI recommended (in order):
    1. CleanRL
    2. RLlib
    3. Tianshou
    4. Stable Baselines3
    5. MiniTorch
    6. PyTorch-RL examples

    AI recommended 6 alternatives but never named AI4Finance-Foundation/ElegantRL. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 AI4Finance-Foundation/ElegantRL?
    pass
    AI named AI4Finance-Foundation/ElegantRL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts AI4Finance-Foundation/ElegantRL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AI4Finance-Foundation/ElegantRL 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 AI4Finance-Foundation/ElegantRL solve, and who is the primary audience?
    pass
    AI named AI4Finance-Foundation/ElegantRL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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AI4Finance-Foundation/ElegantRL — 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