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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 ...

LicenseApache 2.0
HomePage http://burlap.cs.brown.edu
Date(Aug 03, 2016)
FilesDownload (JAR) (2.6 MB)
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Used By1 artifacts




Developers

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