REPOGEO REPORT · LITE
nottombrown/rl-teacher
Default branch master · commit b2c2201e · scanned 6/3/2026, 5:23:27 AM
GitHub: 562 stars · 97 forks
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 nottombrown/rl-teacher, 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.
- hightopics#1Add relevant topics for RL, human feedback, and DRLHP
Why:
CURRENT(none)
COPY-PASTE FIXreinforcement-learning, deep-reinforcement-learning, human-feedback, learning-from-preferences, dRLHP, machine-learning, ai, mujoco
- highreadme#2Explicitly state `rl-teacher` is *the* implementation of DRLHP and emphasize "human feedback"
Why:
CURRENT# RL-Teacher `rl-teacher` is an implementation of *Deep Reinforcement Learning from Human Preferences* [Christiano et al., 2017].
COPY-PASTE FIX# RL-Teacher: Deep Reinforcement Learning from Human Preferences (DRLHP) Implementation `rl-teacher` is the reference implementation of *Deep Reinforcement Learning from Human Preferences* [Christiano et al., 2017], enabling you to train reinforcement learning agents using direct human feedback.
- mediumhomepage#3Add the paper's URL as the repository homepage
Why:
CURRENT(none)
COPY-PASTE FIXhttps://arxiv.org/abs/1706.03741
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.
- MaxEnt IRL · recommended 1×
- GAIL · recommended 1×
- Behavioral Cloning (BC) · recommended 1×
- DRLHP · recommended 1×
- TAMER · recommended 1×
- CATEGORY QUERYHow to train reinforcement learning agents when no clear reward function exists?you: not recommendedAI recommended (in order):
- MaxEnt IRL
- GAIL
- Behavioral Cloning (BC)
- DRLHP
- TAMER
- ICM (Intrinsic Curiosity Module)
- RND
- Episodic Curiosity
- DIAYN
- VIC
AI recommended 10 alternatives but never named nottombrown/rl-teacher. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat framework helps develop RL agents using human feedback for complex tasks?you: not recommendedAI recommended (in order):
- Hugging Face's TRL (huggingface/trl)
- DeepMind's Acme (deepmind/acme)
- OpenAI Baselines (openai/baselines)
- Ray RLib (ray-project/ray)
- Stable Baselines3 (DLR-RM/stable-baselines3)
AI recommended 5 alternatives but never named nottombrown/rl-teacher. This is the gap to close.
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 nottombrown/rl-teacher?passAI did not name nottombrown/rl-teacher — 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 nottombrown/rl-teacher in production, what risks or prerequisites should they evaluate first?passAI named nottombrown/rl-teacher 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 nottombrown/rl-teacher solve, and who is the primary audience?passAI named nottombrown/rl-teacher explicitly
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 nottombrown/rl-teacher. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
Live preview[](https://repogeo.com/en/r/nottombrown/rl-teacher)<a href="https://repogeo.com/en/r/nottombrown/rl-teacher"><img src="https://repogeo.com/badge/nottombrown/rl-teacher.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
nottombrown/rl-teacher — 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