RRepoGEO

REPOGEO REPORT · LITE

Denys88/rl_games

Default branch master · commit 50a0677a · scanned 6/18/2026, 12:12:00 PM

GitHub: 1,355 stars · 213 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 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
  • highabout#1
    Refine the repository description to highlight core differentiators

    Why:

    CURRENT
    RL implementations
    COPY-PASTE FIX
    High-performance, GPU-accelerated reinforcement learning library with optimized support for multi-GPU training and deep integration with NVIDIA Isaac Gym.
  • mediumtopics#2
    Expand repository topics to include specific differentiators

    Why:

    CURRENT
    deep-learning, pytorch, reinforcement-learning
    COPY-PASTE FIX
    deep-learning, pytorch, reinforcement-learning, gpu-acceleration, high-performance, robotics, simulation, isaac-gym
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://discord.gg/hnYRq7DsQh

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
ray-project/ray
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 1×
  2. vwxyzjn/cleanrl · recommended 1×
  3. DLR-RM/stable-baselines3 · recommended 1×
  4. thu-ml/tianshou · recommended 1×
  5. deepmind/acme · recommended 1×
  • CATEGORY QUERY
    What are the best high-performance reinforcement learning libraries for PyTorch?
    you: not recommended
    AI recommended (in order):
    1. RLlib (ray-project/ray)
    2. CleanRL (vwxyzjn/cleanrl)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. Tianshou (thu-ml/tianshou)
    5. Acme (deepmind/acme)
    6. Catalyst.RL (catalyst-team/catalyst)

    AI recommended 6 alternatives but never named Denys88/rl_games. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking efficient reinforcement learning frameworks for robotics simulation with high environment throughput.
    you: not recommended
    AI recommended (in order):
    1. Isaac Sim
    2. Rl-games
    3. Stable Baselines3
    4. Unity ML-Agents
    5. MuJoCo
    6. dm_control
    7. gymnasium
    8. Ray RLlib
    9. Gazebo
    10. ROS/ROS 2
    11. PyBullet
    12. RoboSuite

    AI recommended 12 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 named Denys88/rl_games explicitly

    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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Denys88/rl_games — 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