RRepoGEO

REPOGEO REPORT · LITE

walkinglabs/hands-on-modern-rl

Default branch main · commit 3d88c095 · scanned 5/7/2026, 6:02:27 PM

GitHub: 1,090 stars · 53 forks

AI VISIBILITY SCORE
27 /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
1 / 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 walkinglabs/hands-on-modern-rl, 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
    Add a clear, concise English introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Add this sentence directly after the main H1 title in the README: "An open-source, hands-on curriculum bridging the gap from basic RL concepts to LLM alignment, RLVR, and advanced Agentic systems."
  • mediumtopics#2
    Refine and expand repository topics

    Why:

    CURRENT
    agent, agentic, agentic-ai, agentic-rl, dpo, grpo, llm, llm-alignment, pytorch, reinforcemen, rlhf, tutorial
    COPY-PASTE FIX
    agent, agentic, agentic-ai, agentic-rl, dpo, grpo, llm, llm-alignment, pytorch, reinforcement-learning, rlhf, tutorial, rlvr, curriculum, course
  • lowlicense#3
    Clarify license information in the README

    Why:

    COPY-PASTE FIX
    Add a section or line in the README, for example: 'This project is licensed under the terms specified in the [LICENSE](LICENSE) file.'

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 walkinglabs/hands-on-modern-rl
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. openai/spinningup · recommended 2×
  2. DLR-RM/stable-baselines3 · recommended 2×
  3. huggingface/trl · recommended 2×
  4. Reinforcement Learning: An Introduction" by Sutton and Barto · recommended 1×
  5. Deep Reinforcement Learning Hands-On" by Maxim Lapan · recommended 1×
  • CATEGORY QUERY
    How can I learn modern reinforcement learning concepts, including LLM alignment and agentic systems?
    you: not recommended
    AI recommended (in order):
    1. Reinforcement Learning: An Introduction" by Sutton and Barto
    2. OpenAI Spinning Up (openai/spinningup)
    3. Deep Reinforcement Learning Hands-On" by Maxim Lapan
    4. Stable Baselines3 (DLR-RM/stable-baselines3)
    5. RLHF (Reinforcement Learning from Human Feedback)
    6. Direct Preference Optimization (DPO)
    7. TRL (Transformer Reinforcement Learning) (huggingface/trl)
    8. Hugging Face ecosystem
    9. OpenAI
    10. Anthropic
    11. DeepMind
    12. Artificial Intelligence: A Modern Approach" by Russell and Norvig
    13. MiniGrid (Farama-Foundation/MiniGrid)
    14. Gymnasium (Farama-Foundation/Gymnasium)
    15. OpenAI Gym
    16. Habitat (facebookresearch/habitat-lab)
    17. ArXiv
    18. NeurIPS
    19. ICML
    20. ICLR
    21. AAAI
    22. GitHub

    AI recommended 22 alternatives but never named walkinglabs/hands-on-modern-rl. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find practical code examples for implementing DPO, GRPO, and other advanced RL algorithms?
    you: not recommended
    AI recommended (in order):
    1. trl (huggingface/trl)
    2. Alignment Handbook (huggingface/alignment-handbook)
    3. RLlib (ray-project/ray)
    4. CleanRL (vwxyzjn/cleanrl)
    5. Stable Baselines3 (DLR-RM/stable-baselines3)
    6. OpenAI Spinning Up (openai/spinningup)
    7. Catalyst (catalyst-team/catalyst)

    AI recommended 7 alternatives but never named walkinglabs/hands-on-modern-rl. 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 walkinglabs/hands-on-modern-rl?
    pass
    AI did not name walkinglabs/hands-on-modern-rl — 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?

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