RRepoGEO

REPOGEO REPORT · LITE

kaixindelele/DRLib

Default branch main · commit abf7ece9 · scanned 6/1/2026, 8:27:47 PM

GitHub: 561 stars · 70 forks

AI VISIBILITY SCORE
35 /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
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 kaixindelele/DRLib, 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
  • hightopics#1
    Add specific topics for deep reinforcement learning, off-policy, HER, and PER

    Why:

    COPY-PASTE FIX
    deep-reinforcement-learning, off-policy-rl, her, per, d2sr, pytorch, tensorflow, rl-algorithms
  • mediumreadme#2
    Add a concise introductory paragraph to the README after the H1

    Why:

    CURRENT
    A concise deep reinforcement learning library which integrats amost all of off policy RL algos with HER and PER. The library is written based on the code in https://github.com/openai/spinningup, and can be achieved with tensorflow or pytorch.
    COPY-PASTE FIX
    DRLib is a concise deep reinforcement learning library that integrates almost all off-policy RL algorithms with advanced features like Hindsight Experience Replay (HER) and Prioritized Experience Replay (PER). Built upon OpenAI Spinning Up, it offers implementations in both TensorFlow and PyTorch, designed for easy application and debugging, especially for robotics-related tasks.
  • lowhomepage#3
    Add the repository URL as the homepage

    Why:

    COPY-PASTE FIX
    https://github.com/kaixindelele/DRLib

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 kaixindelele/DRLib
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. RLlib · recommended 2×
  3. Stable Baselines3 · recommended 2×
  4. CleanRL · recommended 1×
  5. Acme · recommended 1×
  • CATEGORY QUERY
    Looking for a concise deep reinforcement learning library for off-policy algorithms.
    you: not recommended
    AI recommended (in order):
    1. CleanRL
    2. Tianshou
    3. RLlib
    4. Stable Baselines3
    5. Acme

    AI recommended 5 alternatives but never named kaixindelele/DRLib. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which deep reinforcement learning tools support both PyTorch and TensorFlow with HER/PER?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3
    2. RLlib
    3. Tianshou
    4. OpenSpiel
    5. ACME

    AI recommended 5 alternatives but never named kaixindelele/DRLib. 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 kaixindelele/DRLib?
    pass
    AI named kaixindelele/DRLib explicitly

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

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

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

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MARKDOWN (README)
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kaixindelele/DRLib — 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