RRepoGEO

REPOGEO REPORT · LITE

ghliu/pytorch-ddpg

Default branch master · commit e9db328c · scanned 6/8/2026, 1:43:36 AM

GitHub: 633 stars · 160 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 ghliu/pytorch-ddpg, 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 the README's opening to clarify its role as a reference implementation

    Why:

    CURRENT
    Deep Deterministic Policy Gradient on PyTorch
Overview
The is the implementation of `Deep Deterministic Policy Gradient <https://arxiv.org/abs/1509.02971>`_ (DDPG) using `PyTorch <https://github.com/pytorch/pytorch>`_.
    COPY-PASTE FIX
    Deep Deterministic Policy Gradient on PyTorch: A Reference Implementation for Continuous Control
Overview
This repository provides a clear, self-contained implementation of the `Deep Deterministic Policy Gradient <https://arxiv.org/abs/1509.02971>`_ (DDPG) algorithm using `PyTorch <https://github.com/pytorch/pytorch>`_. It serves as an educational resource and a practical example for training agents in continuous action spaces, particularly within `OpenAI Gym <https://github.com/openai/gym>`_ environments.
  • mediumhomepage#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/ghliu/pytorch-ddpg
  • lowtopics#3
    Add 'reference-implementation' and 'continuous-control' to repository topics

    Why:

    CURRENT
    ddpg, deep-reinforcement-learning, openai-gym, pytorch
    COPY-PASTE FIX
    ddpg, deep-reinforcement-learning, openai-gym, pytorch, reference-implementation, continuous-control

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 ghliu/pytorch-ddpg
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Baselines3 · recommended 2×
  2. Tianshou · recommended 2×
  3. PyTorch · recommended 1×
  4. Gymnasium · recommended 1×
  5. NumPy · recommended 1×
  • CATEGORY QUERY
    How to implement Deep Deterministic Policy Gradient for continuous control tasks using PyTorch?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. Gymnasium
    3. NumPy
    4. Stable Baselines3
    5. TensorBoard
    6. Tianshou
    7. Reverb

    AI recommended 7 alternatives but never named ghliu/pytorch-ddpg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a deep reinforcement learning solution for Gym environments with policy gradients.
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3
    2. RLlib
    3. CleanRL
    4. Tianshou
    5. TensorFlow Agents

    AI recommended 5 alternatives but never named ghliu/pytorch-ddpg. 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 ghliu/pytorch-ddpg?
    pass
    AI named ghliu/pytorch-ddpg explicitly

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

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

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

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ghliu/pytorch-ddpg — 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