dicelab-rhul/vacuumworld
A multi-agent platform built on the top of the pystarworldsturbo library. Part of the Intelligent Agents course taught at Royal Holloway University of London.
Implements a grid-based vacuum cleaning simulation where autonomous agents collect dirt while navigating dynamic environments with user-controlled actors. Built on pystarworldsturbo, it provides a testbed for multi-agent coordination and reactive behaviors in shared spaces where obstacles and dirt spawn both initially and during runtime.
Available on PyPI.
Stars
2
Forks
2
Language
Python
License
GPL-3.0
Category
Last pushed
Nov 07, 2025
Monthly downloads
63
Commits (30d)
0
Dependencies
5
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