RRepoGEO

REPOGEO REPORT · LITE

mila-iqia/babyai

Default branch master · commit 65fb0cb6 · scanned 6/11/2026, 12:33:15 PM

GitHub: 765 stars · 154 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 mila-iqia/babyai, 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 specify the repo's core function

    Why:

    CURRENT
    # 2023 update
    COPY-PASTE FIX
    # BabyAI: A Testbed for Grounded Language Acquisition in RL Agents
  • highhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Farama-Foundation/Minigrid
  • mediumreadme#3
    Clarify the repository's current role and relationship to Minigrid in the introduction

    Why:

    CURRENT
    All BabyAI environments are now part of the Minigrid library. **This repository is not actively maintained.**
    COPY-PASTE FIX
    While all BabyAI environments are now integrated into the actively maintained Minigrid library, this repository serves as a historical reference and contains original scripts for producing demonstrations and training imitation learning agents, which can be adapted for use with Minigrid.

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 mila-iqia/babyai
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Habitat
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Habitat · recommended 2×
  2. R2D2 · recommended 1×
  3. BERT · recommended 1×
  4. RoBERTa · recommended 1×
  5. T5 · recommended 1×
  • CATEGORY QUERY
    How to train reinforcement learning agents to follow natural language commands in a simulated environment?
    you: not recommended
    AI recommended (in order):
    1. R2D2
    2. BERT
    3. RoBERTa
    4. T5
    5. GPT-2
    6. DeepMind Lab
    7. Unity ML-Agents
    8. OpenAI Gym
    9. SayCan
    10. PaLM
    11. GPT-3
    12. SAC
    13. PPO
    14. Mujoco
    15. PyBullet
    16. CLIP
    17. Habitat
    18. CARLA
    19. Hugging Face Transformers library
    20. TRL
    21. BART
    22. TorchRL
    23. Stable Baselines3
    24. Word2Vec
    25. GloVe
    26. DistilBERT
    27. DQN
    28. Gymnasium

    AI recommended 28 alternatives but never named mila-iqia/babyai. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platforms are available for developing agents that learn from demonstrations and language instructions?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers & Datasets
    2. OpenAI Gym & Baselines
    3. Acme
    4. Habitat
    5. RLlib
    6. TextWorld
    7. Dopamine

    AI recommended 7 alternatives but never named mila-iqia/babyai. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    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 mila-iqia/babyai?
    pass
    AI named mila-iqia/babyai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts mila-iqia/babyai in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mila-iqia/babyai 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 mila-iqia/babyai solve, and who is the primary audience?
    pass
    AI named mila-iqia/babyai explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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mila-iqia/babyai — 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