REPOGEO REPORT · LITE
MorvanZhou/Reinforcement-learning-with-tensorflow
Default branch master · commit 93e33348 · scanned 5/19/2026, 10:57:39 PM
GitHub: 9,458 stars · 4,993 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 MorvanZhou/Reinforcement-learning-with-tensorflow, 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.
- highreadme#1Reposition the README H1 to specify its educational purpose
Why:
CURRENT# Reinforcement Learning Methods and Tutorials
COPY-PASTE FIX# Learn Reinforcement Learning: Beginner-Friendly Tutorials and Practical TensorFlow Code Examples
- mediumabout#2Enhance the 'about' description with key differentiators and language support
Why:
CURRENTSimple Reinforcement learning tutorials, 莫烦Python 中文AI教学
COPY-PASTE FIXBeginner-friendly tutorials and practical code examples for learning Reinforcement Learning with TensorFlow, available in English and Chinese (莫烦Python 中文AI教学).
- lowreadme#3Add a dedicated 'Who is this for?' section to the README
Why:
COPY-PASTE FIX## Who is this for? This repository is designed for beginners and students who want to learn and implement core Reinforcement Learning algorithms from scratch using practical code examples in TensorFlow. It's ideal for those looking for clear, step-by-step explanations rather than a production-ready library.
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.
- openai/spinningup · recommended 1×
- ray-project/ray · recommended 1×
- DLR-RM/stable-baselines3 · recommended 1×
- tensorflow/agents · recommended 1×
- TF-Agents · recommended 1×
- CATEGORY QUERYHow can I learn core reinforcement learning algorithms with practical code examples?you: not recommendedAI recommended (in order):
- spinningup (openai/spinningup)
- RLlib (ray-project/ray)
- Stable Baselines3 (DLR-RM/stable-baselines3)
- TF-Agents (tensorflow/agents)
AI recommended 4 alternatives but never named MorvanZhou/Reinforcement-learning-with-tensorflow. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking clear tutorials to implement deep reinforcement learning algorithms using TensorFlow.you: not recommendedAI recommended (in order):
- TF-Agents
- TensorFlow
- PyTorch
- Keras
AI recommended 4 alternatives but never named MorvanZhou/Reinforcement-learning-with-tensorflow. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
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 MorvanZhou/Reinforcement-learning-with-tensorflow?passAI did not name MorvanZhou/Reinforcement-learning-with-tensorflow — 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 MorvanZhou/Reinforcement-learning-with-tensorflow in production, what risks or prerequisites should they evaluate first?passAI named MorvanZhou/Reinforcement-learning-with-tensorflow 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 MorvanZhou/Reinforcement-learning-with-tensorflow solve, and who is the primary audience?passAI did not name MorvanZhou/Reinforcement-learning-with-tensorflow — 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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MorvanZhou/Reinforcement-learning-with-tensorflow — 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