RRepoGEO

REPOGEO REPORT · LITE

openai/random-network-distillation

Default branch master · commit f75c0f1e · scanned 6/12/2026, 8:03:39 PM

GitHub: 933 stars · 163 forks

AI VISIBILITY SCORE
28 /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
2 / 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 openai/random-network-distillation, 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
    Add an explicit introductory sentence linking the repo to the RND concept

    Why:

    CURRENT
    The README currently starts with "Status: Archive (code is provided as-is, no updates expected)\n\n## Exploration by Random Network Distillation ##"
    COPY-PASTE FIX
    Add the following sentence immediately after the 'Status: Archive' line:

"This repository contains the official code implementation for the paper 'Exploration by Random Network Distillation'."
  • hightopics#2
    Expand repository topics to include core technical areas

    Why:

    CURRENT
    ["paper"]
    COPY-PASTE FIX
    ["reinforcement-learning", "exploration", "intrinsic-motivation", "curiosity", "deep-learning", "atari", "rnd", "random-network-distillation"]
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root. Consider a permissive license like MIT or Apache-2.0, or specify the intended license if it's custom.

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 openai/random-network-distillation
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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 1×
  2. ray-project/ray · recommended 1×
  3. Random Network Distillation (RND) · recommended 1×
  4. Intrinsic Curiosity Module (ICM) · recommended 1×
  5. Novelty Search (NS) · recommended 1×
  • CATEGORY QUERY
    What are effective techniques for enhancing exploration in reinforcement learning with sparse rewards?
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (DLR-RM/stable-baselines3)
    2. RLlib (ray-project/ray)

    AI recommended 2 alternatives but never named openai/random-network-distillation. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for curiosity-driven exploration algorithms for reinforcement learning tasks.
    you: not recommended
    AI recommended (in order):
    1. Random Network Distillation (RND)
    2. Intrinsic Curiosity Module (ICM)
    3. Novelty Search (NS)
    4. Episodic Curiosity (EC)
    5. Disagreement-based Exploration (Disagreement)
    6. Count-based Exploration
    7. Go-Explore

    AI recommended 7 alternatives but never named openai/random-network-distillation. 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 openai/random-network-distillation?
    pass
    AI did not name openai/random-network-distillation — 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 openai/random-network-distillation in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/random-network-distillation 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 openai/random-network-distillation solve, and who is the primary audience?
    pass
    AI named openai/random-network-distillation explicitly

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

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openai/random-network-distillation — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite