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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(Apr 30, 2016)
Filespom (10 KB)  jar (2.7 MB)  View All
RepositoriesCentralSonatype
Used By1 artifacts

Note: There is a new version for this artifact

New Version3.0.1




Compile Dependencies (24)

Licenses

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