REPOGEO REPORT · LITE
seungeunrho/minimalRL
Default branch master · commit c8efed84 · scanned 5/17/2026, 8:37:32 AM
GitHub: 3,200 stars · 492 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 seungeunrho/minimalRL, 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#1Strengthen README's opening value proposition for quick learning
Why:
CURRENTImplementations of basic RL algorithms with minimal lines of codes! (PyTorch based)
COPY-PASTE FIXMinimalRL provides concise, single-file PyTorch implementations of core Reinforcement Learning algorithms, designed for quick understanding and learning.
- mediumhomepage#2Add a homepage URL to the repository settings
Why:
COPY-PASTE FIXhttps://github.com/seungeunrho/minimalRL
- lowtopics#3Add 'learning' to repository topics
Why:
CURRENTa2c, a3c, acer, ddpg, deep-learning, deep-reinforcement-learning, dqn, machine-learning, policy-gradients, ppo, pytorch, reinforce, reinforcement-learning, sac, simple
COPY-PASTE FIXa2c, a3c, acer, ddpg, deep-learning, deep-reinforcement-learning, dqn, machine-learning, policy-gradients, ppo, pytorch, reinforce, reinforcement-learning, sac, simple, learning
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.
- karpathy/min-pytorch-rl · recommended 1×
- pytorch/pytorch · recommended 1×
- PacktPublishing/Deep-Reinforcement-Learning-Hands-On · recommended 1×
- openai/spinningup · recommended 1×
- DLR-RM/stable-baselines3 · recommended 1×
- CATEGORY QUERYLooking for simple PyTorch reinforcement learning examples to understand core algorithms quickly.you: not recommendedAI recommended (in order):
- minimal-pytorch-rl (Andrej Karpathy) (karpathy/min-pytorch-rl)
- PyTorch official examples (pytorch/pytorch)
- Deep Reinforcement Learning Hands-On by Maxim Lapan (PacktPublishing/Deep-Reinforcement-Learning-Hands-On)
- OpenAI Spinning Up in Deep RL (openai/spinningup)
- Stable Baselines3 (SB3) (DLR-RM/stable-baselines3)
AI recommended 5 alternatives but never named seungeunrho/minimalRL. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat are some lightweight PyTorch implementations for common reinforcement learning algorithms for quick iteration?you: #2AI recommended (in order):
- CleanRL
- MinimalRL ← you
- RL-Baselines3-Zoo
- Stable Baselines3
- PyTorch-RL
- spinningup
- tianshou
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- 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 seungeunrho/minimalRL?passAI did not name seungeunrho/minimalRL — 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 seungeunrho/minimalRL in production, what risks or prerequisites should they evaluate first?passAI named seungeunrho/minimalRL 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 seungeunrho/minimalRL solve, and who is the primary audience?passAI named seungeunrho/minimalRL 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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Live preview[](https://repogeo.com/en/r/seungeunrho/minimalRL)<a href="https://repogeo.com/en/r/seungeunrho/minimalRL"><img src="https://repogeo.com/badge/seungeunrho/minimalRL.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
seungeunrho/minimalRL — 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