RRepoGEO

REPOGEO REPORT · LITE

sisl/MADRL

Default branch master · commit 9ea39a0f · scanned 5/30/2026, 6:48:01 PM

GitHub: 747 stars · 126 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 sisl/MADRL, 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
    Reposition the README's opening to clearly state its purpose as a MADRL environment collection and framework

    Why:

    CURRENT
    # MADRL

**Note**:
**A maintained version of the first three environments with various fixes is included with PettingZoo (https://github.com/PettingZoo-Team/PettingZoo, https://pettingzoo.farama.org/environments/sisl/)**

This package provides implementations of the following multi-agent reinforcement learning environemnts:
    COPY-PASTE FIX
    # MADRL: Multi-Agent Deep Reinforcement Learning Environments and Framework

This package provides implementations of several multi-agent reinforcement learning environments and a framework for multi-agent deep reinforcement learning (MADRL) research.

**Note**: A maintained version of the first three environments with various fixes is included with PettingZoo (https://github.com/PettingZoo-Team/PettingZoo, https://pettingzoo.farama.org/environments/sisl/).
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    https://pettingzoo.farama.org/environments/sisl/

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 sisl/MADRL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
PettingZoo
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. PettingZoo · recommended 2×
  2. MAgent · recommended 2×
  3. OpenSpiel · recommended 2×
  4. SMAC · recommended 1×
  5. Multi-Agent Particle Environment · recommended 1×
  • CATEGORY QUERY
    What tools can I use for multi-agent reinforcement learning environment simulation?
    you: not recommended
    AI recommended (in order):
    1. PettingZoo
    2. MAgent
    3. SMAC
    4. Multi-Agent Particle Environment
    5. Unity ML-Agents
    6. OpenSpiel
    7. Gymnasium

    AI recommended 7 alternatives but never named sisl/MADRL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to simulate and train agents in multi-agent environments.
    you: not recommended
    AI recommended (in order):
    1. PettingZoo
    2. MAgent
    3. OpenSpiel
    4. MESA
    5. RLlib
    6. Pymunk

    AI recommended 6 alternatives but never named sisl/MADRL. 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 sisl/MADRL?
    pass
    AI named sisl/MADRL explicitly

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

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

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

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sisl/MADRL — 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