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New Version3.0.1

The Brown-UMBC Reinforcement Learning and Planning (BURLAP) Java code library is for the use and development of single or multi-agent planning and learning algorithms and domains to accompany them. The library uses a highly flexible state/observation representation where you define states with your own Java classes, enabling support for domains that discrete, continuous, relational, or anything else. Planning and learning algorithms range from classic forward search planning to ...

LicenseLGPL 3.0
HomePage http://burlap.cs.brown.edu
Date(Jun 18, 2016)
FilesDownload (JAR) (2.7 MB)
RepositoriesCentralSonatype Releases
Used By1 artifacts




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LicenseURL
GNU LGPL Version 3.0 http://www.gnu.org/licenses/lgpl-3.0.en.html

Developers

NameEmailDev IdRolesOrganization
James MacGlashan jmacglashan<at>gmail.comBrown University