RRepoGEO

REPOGEO REPORT · LITE

Denys88/rl_games

Default branch master · commit 46f286ac · scanned 5/8/2026, 7:56:59 PM

GitHub: 1,345 stars · 207 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 Denys88/rl_games, 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 opening to highlight core value proposition

    Why:

    CURRENT
    **Note:** The next release will be 2.0.0 (unreleased). It migrates fully from `gym` to `gymnasium`. EnvPool support has been restored with the new envpool 1.1.1 (Python 3.11–3.14, NumPy 2.x, MuJoCo 3.x compatible).
    COPY-PASTE FIX
    RL Games is a high-performance PyTorch-based library designed for rapid experimentation and training of reinforcement learning agents, particularly excelling in GPU-accelerated environments and large-scale robot simulations like Isaac Gym.

**Note:** The next release will be 2.0.0 (unreleased). It migrates fully from `gym` to `gymnasium`. EnvPool support has been restored with the new envpool 1.1.1 (Python 3.11–3.14, NumPy 2.x, MuJoCo 3.x compatible).
  • mediumtopics#2
    Add more specific topics for high-performance and simulation

    Why:

    CURRENT
    deep-learning, pytorch, reinforcement-learning
    COPY-PASTE FIX
    deep-learning, pytorch, reinforcement-learning, gpu-acceleration, robot-learning, simulation, high-performance-computing
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Denys88/rl_games (or a dedicated project/documentation site if one exists)

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 Denys88/rl_games
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
NVIDIA Isaac Sim
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. NVIDIA Isaac Sim · recommended 1×
  2. Stable Baselines3 · recommended 1×
  3. RLLib · recommended 1×
  4. DeepMind's Brax · recommended 1×
  5. JAX · recommended 1×
  • CATEGORY QUERY
    What are efficient deep reinforcement learning frameworks for GPU-accelerated robot simulations?
    you: not recommended
    AI recommended (in order):
    1. NVIDIA Isaac Sim
    2. Stable Baselines3
    3. RLLib
    4. DeepMind's Brax
    5. JAX
    6. PyBullet
    7. PyTorch
    8. TensorFlow
    9. Ray
    10. MuJoCo
    11. Gazebo
    12. ROS 2
    13. Unity 3D
    14. ML-Agents

    AI recommended 14 alternatives but never named Denys88/rl_games. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which high-performance reinforcement learning libraries offer fast implementations of common algorithms?
    you: not recommended
    AI recommended (in order):
    1. RLlib (ray-project/ray)
    2. CleanRL (cleanrl/cleanrl)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. Tianshou (thu-ml/tianshou)
    5. Acme (deepmind/acme)

    AI recommended 5 alternatives but never named Denys88/rl_games. 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 Denys88/rl_games?
    pass
    AI did not name Denys88/rl_games — 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 Denys88/rl_games in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Denys88/rl_games 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 Denys88/rl_games solve, and who is the primary audience?
    pass
    AI named Denys88/rl_games 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