RRepoGEO

REPOGEO REPORT · LITE

ChenglongChen/pytorch-DRL

Default branch master · commit 44b8f082 · scanned 6/12/2026, 9:37:25 PM

GitHub: 617 stars · 109 forks

AI VISIBILITY SCORE
28 /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
2 / 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 ChenglongChen/pytorch-DRL, 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
    Align README H1 with repository name and clarify purpose

    Why:

    CURRENT
    # pytorch-madrl
    COPY-PASTE FIX
    # pytorch-DRL: Modular PyTorch Implementations of Deep Reinforcement Learning Algorithms
  • mediumhomepage#2
    Add repository URL as homepage

    Why:

    COPY-PASTE FIX
    https://github.com/ChenglongChen/pytorch-DRL
  • lowreadme#3
    Add a 'Why Choose This?' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Why Choose pytorch-DRL?

This repository focuses on providing clear, concise, and relatively self-contained PyTorch implementations of fundamental Deep Reinforcement Learning algorithms. Unlike more comprehensive frameworks, `pytorch-DRL` emphasizes modularity and readability, making it ideal for researchers and students who want to understand, experiment with, or extend core DRL algorithms without the overhead of a large production-ready library.

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 ChenglongChen/pytorch-DRL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RLlib
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. RLlib · recommended 2×
  2. CleanRL · recommended 2×
  3. Stable Baselines3 (SB3) · recommended 1×
  4. Tianshou · recommended 1×
  5. Acme · recommended 1×
  • CATEGORY QUERY
    Looking for a PyTorch framework to implement various deep reinforcement learning algorithms for agents.
    you: not recommended
    AI recommended (in order):
    1. RLlib
    2. Stable Baselines3 (SB3)
    3. CleanRL
    4. Tianshou
    5. Acme

    AI recommended 5 alternatives but never named ChenglongChen/pytorch-DRL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a Python toolkit for experimenting with single and multi-agent reinforcement learning models.
    you: not recommended
    AI recommended (in order):
    1. Gymnasium
    2. PettingZoo
    3. RLlib
    4. Stable Baselines3
    5. CleanRL
    6. TorchRL

    AI recommended 6 alternatives but never named ChenglongChen/pytorch-DRL. 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 ChenglongChen/pytorch-DRL?
    pass
    AI named ChenglongChen/pytorch-DRL explicitly

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

  • If a team adopts ChenglongChen/pytorch-DRL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ChenglongChen/pytorch-DRL 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 ChenglongChen/pytorch-DRL solve, and who is the primary audience?
    pass
    AI did not name ChenglongChen/pytorch-DRL — 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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ChenglongChen/pytorch-DRL — 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