RRepoGEO

REPOGEO REPORT · LITE

Kaixhin/imitation-learning

Default branch master · commit 28d2f5bb · scanned 6/15/2026, 6:53:01 PM

GitHub: 570 stars · 44 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 Kaixhin/imitation-learning, 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 README's opening to clearly state it's a PyTorch library

    Why:

    CURRENT
    # A Pragmatic Look at Deep Imitation Learning
    COPY-PASTE FIX
    # PyTorch Implementations of Deep Imitation Learning Algorithms

This repository provides clean, modular, and reproducible PyTorch implementations of various prominent imitation learning algorithms, built on top of SAC as the base RL algorithm.
  • hightopics#2
    Add 'pytorch' and refine existing topics for specificity

    Why:

    CURRENT
    deep-learning, deep-reinforcement-learning, imitation-learning
    COPY-PASTE FIX
    imitation-learning, deep-imitation-learning, pytorch, reinforcement-learning, deep-learning, machine-learning-algorithms
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [URL to relevant project page, paper, or documentation, e.g., a link to a research paper or a dedicated project website]

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 Kaixhin/imitation-learning
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DLR-RM/stable-baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 2×
  2. ray-project/ray · recommended 2×
  3. thu-ml/tianshou · recommended 1×
  4. deepmind/acme · recommended 1×
  5. huggingface/trl · recommended 1×
  • CATEGORY QUERY
    What deep learning libraries provide various imitation learning algorithms for policy training?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (SB3) (DLR-RM/stable-baselines3)
    2. Tianshou (thu-ml/tianshou)
    3. RLlib (Ray RLlib) (ray-project/ray)
    4. DeepMind's Acme (deepmind/acme)
    5. Hugging Face's TRL (Transformer Reinforcement Learning) (huggingface/trl)
    6. TensorFlow Agents (TF-Agents) (tensorflow/agents)

    AI recommended 6 alternatives but never named Kaixhin/imitation-learning. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are robust deep imitation learning approaches for training agents with expert data?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. torchvision.transforms
    4. tf.keras.preprocessing.image
    5. Stable Baselines3 (DLR-RM/stable-baselines3)
    6. Imitation Library (HumanCompatibleAI/imitation)
    7. RLlib (ray-project/ray)
    8. d3rlpy (takuseno/d3rlpy)
    9. RL Unplugged (deepmind/rl_unplugged)

    AI recommended 9 alternatives but never named Kaixhin/imitation-learning. 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 Kaixhin/imitation-learning?
    pass
    AI named Kaixhin/imitation-learning explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite