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 ...
License | LGPL 3.0 |
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Tags | webservice |
HomePage | http://burlap.cs.brown.edu |
Date | Mar 25, 2016 |
Files | pom (10 KB) jar (2.7 MB) View All |
Repositories | CentralSonatype |
Ranking | #237221 in MvnRepository (See Top Artifacts) |
Used By | 1 artifacts |
Vulnerabilities | Vulnerabilities from dependencies: CVE-2023-2976 CVE-2022-42004 CVE-2022-41854 View 63 more ... |
Compile Dependencies (24)
Licenses
License | URL |
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GNU LGPL Version 3.0 | http://www.gnu.org/licenses/lgpl-3.0.en.html |
Developers
Name | Dev Id | Roles | Organization | |
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James MacGlashan | jmacglashan<at>gmail.com | Brown University |