RRepoGEO

REPOGEO REPORT · LITE

alessiodm/drl-zh

Default branch main · commit 6da018cd · scanned 5/23/2026, 12:11:58 PM

GitHub: 2,283 stars · 112 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
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 alessiodm/drl-zh, 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 the 'zh' in the repo name and explicitly state the repo's purpose as an English-language educational course in the opening sentence.

    Why:

    CURRENT
    Welcome to drlzh.ai: the most hands-on reinforcement learning experience! This course is a deep dive into the vast and evolving world of Deep Reinforcement Learning...
    COPY-PASTE FIX
    Welcome to drlzh.ai: the most hands-on reinforcement learning experience! This is a comprehensive, English-language course on Deep Reinforcement Learning, taking you from Zero to Hero (hence 'drl-zh').
  • hightopics#2
    Add topics that explicitly categorize the repo as an educational course or tutorial.

    Why:

    CURRENT
    deep-learning, deep-reinforcement-learning, machine-learning, reinforcement-learning
    COPY-PASTE FIX
    deep-learning, deep-reinforcement-learning, machine-learning, reinforcement-learning, course, tutorial, education, hands-on-learning, jupyter-notebooks
  • mediumhomepage#3
    Add the official course website as the repository homepage.

    Why:

    COPY-PASTE FIX
    https://drlzh.ai

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 alessiodm/drl-zh
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Baselines3 · recommended 2×
  2. Ray RLlib · recommended 2×
  3. TensorFlow · recommended 1×
  4. PyTorch · recommended 1×
  5. JAX · recommended 1×
  • CATEGORY QUERY
    How can I learn deep reinforcement learning by implementing algorithms from scratch?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow
    2. PyTorch
    3. JAX
    4. NumPy
    5. OpenAI Gym
    6. Stable Baselines3
    7. Ray RLlib

    AI recommended 7 alternatives but never named alessiodm/drl-zh. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for building reinforcement learning agents for games and robotics?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3
    2. Ray RLlib
    3. OpenAI Gym / Gymnasium
    4. Unity ML-Agents
    5. Acme
    6. TensorFlow Agents
    7. PyTorch-Lightning-RL

    AI recommended 7 alternatives but never named alessiodm/drl-zh. 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 alessiodm/drl-zh?
    pass
    AI named alessiodm/drl-zh explicitly

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

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

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

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alessiodm/drl-zh — 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