RRepoGEO

REPOGEO REPORT · LITE

XinJingHao/DRL-Pytorch

Default branch main · commit 83486646 · scanned 5/21/2026, 4:53:13 PM

GitHub: 3,382 stars · 388 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
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 XinJingHao/DRL-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
  • highlicense#1
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0).
  • highreadme#2
    Clarify the README's opening statement to position the repo as a learning/research collection

    Why:

    CURRENT
    Clean, Robust, and Unified PyTorch implementation of popular DRL Algorithms
    COPY-PASTE FIX
    This repository offers a **clean, robust, and unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms**, designed primarily as a **comprehensive resource for researchers and learners** to easily study, compare, and experiment with various DRL methods.
  • mediumhomepage#3
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Set the repository's homepage URL in the 'About' section to `https://github.com/XinJingHao/DRL-Pytorch` or a dedicated project page 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 XinJingHao/DRL-Pytorch
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
DLR-RM/stable-baselines3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. DLR-RM/stable-baselines3 · recommended 1×
  2. vwxyzjn/cleanrl · recommended 1×
  3. ray-project/ray · recommended 1×
  4. thu-ml/tianshou · recommended 1×
  5. pytorch/rl · recommended 1×
  • CATEGORY QUERY
    Looking for a robust PyTorch library implementing various deep reinforcement learning algorithms.
    you: not recommended
    AI recommended (in order):
    1. Stable Baselines3 (DLR-RM/stable-baselines3)
    2. CleanRL (vwxyzjn/cleanrl)
    3. RLlib (ray-project/ray)
    4. Tianshou (thu-ml/tianshou)
    5. TorchRL (pytorch/rl)

    AI recommended 5 alternatives but never named XinJingHao/DRL-Pytorch. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which unified PyTorch framework offers common DRL algorithms like PPO, DDPG, and SAC?
    you: not recommended
    AI recommended (in order):
    1. RLlib
    2. Stable Baselines3
    3. CleanRL
    4. Tianshou
    5. TorchRL

    AI recommended 5 alternatives but never named XinJingHao/DRL-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 XinJingHao/DRL-Pytorch?
    pass
    AI named XinJingHao/DRL-Pytorch explicitly

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

  • If a team adopts XinJingHao/DRL-Pytorch in production, what risks or prerequisites should they evaluate first?
    pass
    AI named XinJingHao/DRL-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 XinJingHao/DRL-Pytorch solve, and who is the primary audience?
    pass
    AI did not name XinJingHao/DRL-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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XinJingHao/DRL-Pytorch — 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