RRepoGEO

REPOGEO REPORT · LITE

opendilab/PPOxFamily

Default branch main · commit 78f78111 · scanned 6/26/2026, 5:13:53 PM

GitHub: 2,600 stars · 213 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
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
  • highabout#1
    Reposition the 'about' description to emphasize 'course'

    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
    An introductory DRL Tutorial Course on PPO x Family algorithms for Decision Intelligence. (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)
  • highreadme#2
    Add an explicit English summary to the README's introduction

    Why:

    COPY-PASTE FIX
    Add this as the first paragraph after the main title:
"This repository hosts the **PPO x Family** introductory public course on Decision Intelligence. It is designed to help learners deeply understand the PPO deep reinforcement learning algorithm and apply it to various decision intelligence problems, offering 8 lessons to clarify theory, streamline code logic, and master practical AI applications."
  • mediumtopics#3
    Expand topics to reinforce 'course' and 'practical application'

    Why:

    CURRENT
    course, decision-intelligence, deep-reinforcement-learning, python, reinforcement-learning
    COPY-PASTE FIX
    course, decision-intelligence, deep-reinforcement-learning, python, reinforcement-learning, tutorial, education, practical-application, deep-learning-course

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
Hugging Face
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face · recommended 1×
  2. Stable Baselines3 · recommended 1×
  3. Gymnasium · recommended 1×
  4. DLR-RM/stable-baselines3 · recommended 1×
  5. ray-project/ray · recommended 1×
  • CATEGORY QUERY
    Looking for an introductory course to understand deep reinforcement learning and decision AI concepts.
    you: not recommended
    AI recommended (in order):
    1. Hugging Face
    2. Stable Baselines3
    3. Gymnasium

    AI recommended 3 alternatives but never named opendilab/PPOxFamily. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I practically apply the PPO algorithm to solve various decision intelligence problems?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (DLR-RM/stable-baselines3)
    2. RLlib (ray-project/ray)
    3. Tianshou (thu-ml/tianshou)
    4. CleanRL (vwxyzjn/cleanrl)

    AI recommended 4 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?

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opendilab/PPOxFamily — 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