REPOGEO REPORT · LITE

wwxFromTju/awesome-reinforcement-learning-zh

Default branch master · commit 36303d0c · scanned 5/12/2026, 12:57:57 PM

GitHub: 2,165 stars · 363 forks

AI VISIBILITY SCORE

10 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 fail

Objective metadata checks

AI knows your name

0 / 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 wwxFromTju/awesome-reinforcement-learning-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
Reposition the README H1 to clearly state it's an awesome list of Chinese RL resources
Why:
CURRENT
```
# 强化学习从入门到放弃的资料
```
COPY-PASTE FIX
```
# Awesome Reinforcement Learning Resources (Chinese) / 强化学习中文资料精选
```

hightopics#2

Add relevant topics to improve categorization

Why:

COPY-PASTE FIX

reinforcement-learning, deep-reinforcement-learning, machine-learning, awesome-list, chinese, education, resources, tutorial

highlicense#3

Add a LICENSE file to the repository

Why:

COPY-PASTE FIX

Create a LICENSE file (e.g., MIT or Apache-2.0) in the repository root to clarify usage rights.

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 wwxFromTju/awesome-reinforcement-learning-zh

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Coursera: Reinforcement Learning Specialization by University of Alberta (DeepMind)

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Coursera: Reinforcement Learning Specialization by University of Alberta (DeepMind) · recommended 1×
edX: Reinforcement Learning by Georgia Tech · recommended 1×
DeepMind's Reinforcement Learning Course (UCL) · recommended 1×
spinningup.openai.com (OpenAI Spinning Up in Deep RL) · recommended 1×
PyTorch · recommended 1×

CATEGORY QUERY
Where can I find a comprehensive collection of reinforcement learning study materials and courses?
you: not recommended
AI recommended (in order):
1. Coursera: Reinforcement Learning Specialization by University of Alberta (DeepMind)
2. edX: Reinforcement Learning by Georgia Tech
3. DeepMind's Reinforcement Learning Course (UCL)
4. spinningup.openai.com (OpenAI Spinning Up in Deep RL)
5. PyTorch
6. TensorFlow
7. Udemy: Reinforcement Learning in Python: Solve Markov Decision Processes
8. Python
9. FreeCodeCamp.org
10. sentdex
11. Arxiv Insights
AI recommended 11 alternatives but never named wwxFromTju/awesome-reinforcement-learning-zh. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking curated resources for advanced deep reinforcement learning and multi-agent systems.
you: not recommended
AI recommended (in order):
1. RLlib
2. PettingZoo
3. OpenSpiel
4. MARL-Algorithms
5. Stable Baselines3
6. Gymnasium
7. MAgent
8. DeepMind Lab
9. SC2LE
AI recommended 9 alternatives but never named wwxFromTju/awesome-reinforcement-learning-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
fail
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 wwxFromTju/awesome-reinforcement-learning-zh?
pass
AI did not name wwxFromTju/awesome-reinforcement-learning-zh — 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 wwxFromTju/awesome-reinforcement-learning-zh in production, what risks or prerequisites should they evaluate first?
pass
AI did not name wwxFromTju/awesome-reinforcement-learning-zh — 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?
In one sentence, what problem does the repo wwxFromTju/awesome-reinforcement-learning-zh solve, and who is the primary audience?
pass
AI did not name wwxFromTju/awesome-reinforcement-learning-zh — 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

Drop this badge into the README of wwxFromTju/awesome-reinforcement-learning-zh. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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wwxFromTju/awesome-reinforcement-learning-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