RRepoGEO

REPOGEO REPORT · LITE

opendilab/PPOxFamily

Default branch main · commit 78f78111 · scanned 5/15/2026, 9:47:50 PM

GitHub: 2,578 stars · 212 forks

AI VISIBILITY SCORE
40 /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
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 opendilab/PPOxFamily, 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 concise English summary to the top of the README

    Why:

    COPY-PASTE FIX
    Welcome to the **PPO x Family** Deep Reinforcement Learning Tutorial Course. This beginner-friendly public course offers 8 comprehensive lessons to help you master PPO algorithms, understand code logic, and apply decision AI in real-world scenarios.
  • mediumtopics#2
    Add topics emphasizing practical application and tutorials

    Why:

    CURRENT
    course, decision-intelligence, deep-reinforcement-learning, python, reinforcement-learning
    COPY-PASTE FIX
    course, decision-intelligence, deep-reinforcement-learning, python, reinforcement-learning, tutorial, practical-applications, hands-on-learning
  • lowabout#3
    Refine the repository description to explicitly include 'beginner-friendly'

    Why:

    CURRENT
    PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）
    COPY-PASTE FIX
    PPO x Family: A Beginner-Friendly DRL Tutorial Course. Learn PPO algorithms, code logic, and decision AI applications.（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

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 opendilab/PPOxFamily
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Spinning Up in Deep RL by OpenAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Spinning Up in Deep RL by OpenAI · recommended 1×
  2. DLR-RM/stable-baselines3 · recommended 1×
  3. ray-project/ray · recommended 1×
  4. deepmind/acme · recommended 1×
  5. tensorflow/agents · recommended 1×
  • CATEGORY QUERY
    How can I learn deep reinforcement learning algorithms for real-world decision AI applications?
    you: not recommended
    AI recommended (in order):
    1. Spinning Up in Deep RL by OpenAI
    2. Stable Baselines3 (DLR-RM/stable-baselines3)
    3. Ray RLlib (ray-project/ray)
    4. DeepMind's Acme (deepmind/acme)
    5. TensorFlow Agents (TF-Agents) (tensorflow/agents)
    6. PyTorch-Lightning-RL

    AI recommended 6 alternatives but never named opendilab/PPOxFamily. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a beginner-friendly course to master reinforcement learning algorithms for diverse AI problems.
    you: not recommended
    AI recommended (in order):
    1. Deep Reinforcement Learning (spinningup.openai.com) (openai/spinningup)
    2. Reinforcement Learning Specialization (Coursera by University of Alberta)
    3. Practical Reinforcement Learning (Coursera by National Research University Higher School of Economics)
    4. Reinforcement Learning: An Introduction (edX by Georgia Tech)
    5. Deep Reinforcement Learning with Python (Udemy by Jose Portilla)

    AI recommended 5 alternatives but never named opendilab/PPOxFamily. 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 opendilab/PPOxFamily?
    pass
    AI named opendilab/PPOxFamily explicitly

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

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

    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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opendilab/PPOxFamily — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite