RRepoGEO

REPOGEO REPORT · LITE

NVlabs/GA3C

Default branch master · commit c291be5f · scanned 5/31/2026, 10:18:02 AM

GitHub: 660 stars · 190 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 NVlabs/GA3C, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Strengthen README's opening paragraph to highlight GPU-accelerated A3C

    Why:

    CURRENT
    A hybrid CPU/GPU version of the Asynchronous Advantage Actor-Critic (A3C) algorithm, currently the state-of-the-art method in reinforcement learning for various gaming tasks. This CPU/GPU implementation, based on TensorFlow, achieves a significant speed up compared to a similar CPU implementation.
    COPY-PASTE FIX
    GA3C is a high-performance, hybrid CPU/GPU implementation of the Asynchronous Advantage Actor-Critic (A3C) algorithm, specifically engineered for deep reinforcement learning tasks. Built on TensorFlow, GA3C delivers significant speedups over CPU-only A3C implementations, making it ideal for researchers and practitioners focused on accelerating RL training for gaming and other complex environments.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://[YOUR_GA3C_PROJECT_PAGE_OR_PAPER_URL_HERE]

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 NVlabs/GA3C
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 3 of 2 queries
COMPETITOR LEADERBOARD
  1. ray-project/ray · recommended 3×
  2. DLR-RM/stable-baselines3 · recommended 2×
  3. pytorch/pytorch · recommended 2×
  4. tensorflow/agents · recommended 2×
  5. openai/gym · recommended 1×
  • CATEGORY QUERY
    How to speed up deep reinforcement learning training using both CPU and GPU?
    you: not recommended
    AI recommended (in order):
    1. Ray RLLib (ray-project/ray)
    2. Ray (ray-project/ray)
    3. Stable Baselines3 (DLR-RM/stable-baselines3)
    4. PyTorch DistributedDataParallel (pytorch/pytorch)
    5. OpenAI Gym (openai/gym)
    6. Farama Gymnasium (Farama-Foundation/Gymnasium)
    7. PyTorch (pytorch/pytorch)
    8. TensorFlow (tensorflow/tensorflow)
    9. TensorFlow Agents (tensorflow/agents)
    10. PyTorch Lightning (Lightning-AI/lightning)
    11. Acme (deepmind/acme)

    AI recommended 11 alternatives but never named NVlabs/GA3C. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking efficient asynchronous actor-critic algorithm implementations for gaming environments.
    you: not recommended
    AI recommended (in order):
    1. RLlib (ray-project/ray)
    2. Stable Baselines3 (DLR-RM/stable-baselines3)
    3. OpenAI Baselines (openai/baselines)
    4. TensorFlow Agents (tensorflow/agents)
    5. Catalyst.RL (catalyst-team/catalyst)

    AI recommended 5 alternatives but never named NVlabs/GA3C. 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 NVlabs/GA3C?
    pass
    AI named NVlabs/GA3C explicitly

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

  • If a team adopts NVlabs/GA3C in production, what risks or prerequisites should they evaluate first?
    pass
    AI named NVlabs/GA3C 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 NVlabs/GA3C solve, and who is the primary audience?
    pass
    AI named NVlabs/GA3C explicitly

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

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NVlabs/GA3C — 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