RRepoGEO

REPOGEO REPORT · LITE

upb-lea/reinforcement_learning_course_materials

Default branch master · commit 819df3c0 · scanned 6/24/2026, 1:46:59 PM

GitHub: 1,134 stars · 251 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)

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

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 upb-lea/reinforcement_learning_course_materials, 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
  • highhomepage#1
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://upb-lea.github.io/reinforcement_learning_course_materials/
  • highabout#2
    Refine the 'About' description to emphasize its nature as a complete university course

    Why:

    CURRENT
    Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
    COPY-PASTE FIX
    Complete open-source course materials for a university-level Reinforcement Learning course, including lecture notes, tutorials, solutions, and online videos from Paderborn University.
  • mediumreadme#3
    Update the README's main heading to include the university name

    Why:

    CURRENT
    # Reinforcement learning course
    COPY-PASTE FIX
    # Paderborn University Reinforcement Learning Course Materials

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 upb-lea/reinforcement_learning_course_materials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
openai/spinningup
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/spinningup · recommended 1×
  2. Deep Reinforcement Learning by Sergey Levine (UC Berkeley) · recommended 1×
  3. Reinforcement Learning: An Introduction by Sutton and Barto (2nd Edition) · recommended 1×
  4. David Silver's Reinforcement Learning Course (UCL) · recommended 1×
  5. Practical Deep Learning for Coders, Part 2 (fast.ai) · recommended 1×
  • CATEGORY QUERY
    Where can I find comprehensive open-source course materials for learning reinforcement learning concepts?
    you: not recommended
    AI recommended (in order):
    1. spinningup (openai/spinningup)
    2. Deep Reinforcement Learning by Sergey Levine (UC Berkeley)
    3. Reinforcement Learning: An Introduction by Sutton and Barto (2nd Edition)
    4. David Silver's Reinforcement Learning Course (UCL)
    5. Practical Deep Learning for Coders, Part 2 (fast.ai)
    6. RL Course by Hugging Face (Deep Reinforcement Learning Course) (huggingface/deep-rl-course)

    AI recommended 6 alternatives but never named upb-lea/reinforcement_learning_course_materials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for free online video tutorials and Jupyter notebooks to understand machine learning control systems.
    you: not recommended
    AI recommended (in order):
    1. Steve Brunton's Control Bootcamp / Data-Driven Science & Engineering
    2. Google's DeepMind Reinforcement Learning Course (David Silver's Lectures)
    3. MIT OpenCourseWare - Underactuated Robotics (Russ Tedrake)
    4. Sentdex (Python Programming Tutorials) - Reinforcement Learning Series
    5. Practical Reinforcement Learning (Coursera/HSE - Higher School of Economics)
    6. Control Systems with Python (Dr. Peter Corke)
    7. Robotics Toolbox for Python
    8. Machine Vision Toolbox for Python

    AI recommended 8 alternatives but never named upb-lea/reinforcement_learning_course_materials. 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 upb-lea/reinforcement_learning_course_materials?
    pass
    AI named upb-lea/reinforcement_learning_course_materials explicitly

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

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

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