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dc.contributor.advisorIsola, Philip
dc.contributor.authorSuarez, Joseph
dc.date.accessioned2023-07-31T19:26:01Z
dc.date.available2023-07-31T19:26:01Z
dc.date.issued2023-06
dc.date.submitted2023-07-13T14:29:57.003Z
dc.identifier.urihttps://hdl.handle.net/1721.1/151250
dc.description.abstractNeural 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.
dc.publisherMassachusetts Institute of Technology
dc.rightsAttribution 4.0 International (CC BY 4.0)
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleThe Neural MMO Platform for Massively Multiagent Research
dc.typeThesis
dc.description.degreeS.M.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Science in Electrical Engineering and Computer Science


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