RRepoGEO

REPOGEO REPORT · LITE

dgriff777/rl_a3c_pytorch

Default branch master · commit 4170f7d9 · scanned 6/10/2026, 7:53:20 PM

GitHub: 566 stars · 115 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
22 /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
1 / 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 dgriff777/rl_a3c_pytorch, 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 a clear opening sentence to README stating repo's purpose

    Why:

    COPY-PASTE FIX
    This repository provides a PyTorch implementation of the Asynchronous Advantage Actor-Critic (A3C) algorithm, featuring the A3G GPU/CPU architecture for substantially accelerated training on Atari games.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/dgriff777/rl_a3c_pytorch
  • lowtopics#3
    Add specific technical differentiators to repository topics

    Why:

    CURRENT
    a3c, a3c-gpu, a3g, actor-critic, asynchronous-advantage-actor-critic, atari, deep-reinforcement-learning, openai-gym, python, pytorch, pytorch-a3c, reinforcement-learning
    COPY-PASTE FIX
    a3c, a3c-gpu, a3g, actor-critic, asynchronous-advantage-actor-critic, atari, deep-reinforcement-learning, openai-gym, python, pytorch, pytorch-a3c, reinforcement-learning, hogwild-training, asynchronous-updates, gpu-acceleration

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 dgriff777/rl_a3c_pytorch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PyTorch
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. PyTorch · recommended 1×
  2. Gym · recommended 1×
  3. atari_py · recommended 1×
  4. torch.multiprocessing · recommended 1×
  5. tensorboardX · recommended 1×
  • CATEGORY QUERY
    How to implement A3C deep reinforcement learning for Atari games using PyTorch?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. Gym
    3. atari_py
    4. torch.multiprocessing
    5. tensorboardX
    6. numpy
    7. collections

    AI recommended 7 alternatives but never named dgriff777/rl_a3c_pytorch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a PyTorch-based A3C implementation for fast, GPU-accelerated reinforcement learning training.
    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. PyTorch-RL (ikostrikov/pytorch-a2c-ppo-acktr-gail)
    5. CleanRL (vwxyzjn/cleanrl)

    AI recommended 5 alternatives but never named dgriff777/rl_a3c_pytorch. 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 dgriff777/rl_a3c_pytorch?
    pass
    AI did not name dgriff777/rl_a3c_pytorch — 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 dgriff777/rl_a3c_pytorch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dgriff777/rl_a3c_pytorch 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 dgriff777/rl_a3c_pytorch solve, and who is the primary audience?
    pass
    AI did not name dgriff777/rl_a3c_pytorch — 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?

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dgriff777/rl_a3c_pytorch — 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