The Neural MMO Platform for Massively Multiagent Research
Name
suarez-jsuarez-sm-eecs-2023-thesis.pdf
Description
Thesis PDF
Size
6.55 MB
Format
Adobe PDF
Checksum (MD5)
1548104d75bccde4565db94591fd1696
Author(s)
Suarez, Joseph
Advisor(s)
Isola, Philip
Date Issued
June 2023
Publisher
Massachusetts Institute of Technology
Abstract
Neural MMO is a computationally accessible research platform that combines large agent populations, long time horizons, open-ended tasks, and modular game systems. Existing environments feature subsets of these properties, but Neural MMO is the first to combine them all. We present Neural MMO as free and open source software with active support, ongoing development, documentation, and additional training, logging, and visualization tools to help users adapt to this new setting. Initial baselines on the platform demonstrate that agents trained in large populations explore more and learn a progression of skills. We raise other more difficult problems such as many-team cooperation as open research questions which Neural MMO is well-suited to answer. Finally, we discuss current limitations of the platform, potential mitigations, and plans for continued development.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Attribution 4.0 International (CC BY 4.0)
Copyright retained by author(s)
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