These files are containing the class burlap.oomdp.auxiliary
burlap.oomdp.auxiliary.common.SinglePFTF
burlap.oomdp.auxiliary.common.NullAbstraction
burlap.oomdp.auxiliary.common.RandomStartStateGenerator
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
supports a wide range of problem types including discrete, continuous, or relational domains. By default
states of domains use the rich object-oriented MDP representation, but you can also implement
your own forms of state representation. Planning and learning algorithms range from classic forward search
planning to value function-based stochastic planning and learning algorithms. Also included is a set of analysis
tools such as a common framework for the visualization of domains and agent performance in various domains.
Artifact burlap
Group edu.brown.cs.burlap
Version 2.1.2
Last update 18. June 2016
Tags: single domains supports function visualization tools forward search oriented value algorithms continuous such code wide agent default planning representation them multi included reinforcement burlap range development common state states object from analysis performance various implement types forms classic umbc rich your problem learning framework stochastic including discrete relational library java brown accompany also based
Organization not specified
URL http://burlap.cs.brown.edu
License GNU LGPL Version 3.0
Dependencies amount 24
Dependencies colt, beanutils, commons-collections, commons-lang3, commons-logging, commons-math3, csparsej, ejml, hamcrest-core, jackson-annotations, jackson-core, jackson-databind, jcommon, jfreechart, joptimizer, junit, log4j, servlet-api, snakeyaml, xml-apis, weka-stable, trove4j, guava, jopt-simple,
There are maybe transitive dependencies!
Group edu.brown.cs.burlap
Version 2.1.2
Last update 18. June 2016
Tags: single domains supports function visualization tools forward search oriented value algorithms continuous such code wide agent default planning representation them multi included reinforcement burlap range development common state states object from analysis performance various implement types forms classic umbc rich your problem learning framework stochastic including discrete relational library java brown accompany also based
Organization not specified
URL http://burlap.cs.brown.edu
License GNU LGPL Version 3.0
Dependencies amount 24
Dependencies colt, beanutils, commons-collections, commons-lang3, commons-logging, commons-math3, csparsej, ejml, hamcrest-core, jackson-annotations, jackson-core, jackson-databind, jcommon, jfreechart, joptimizer, junit, log4j, servlet-api, snakeyaml, xml-apis, weka-stable, trove4j, guava, jopt-simple,
There are maybe transitive dependencies!
burlap.oomdp.auxiliary.common.SinglePFTF
burlap.oomdp.auxiliary.common.NullAbstraction
burlap.oomdp.auxiliary.common.RandomStartStateGenerator
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
supports a wide range of problem types including discrete, continuous, or relational domains. By default
states of domains use the rich object-oriented MDP representation, but you can also implement
your own forms of state representation. Planning and learning algorithms range from classic forward search
planning to value function-based stochastic planning and learning algorithms. Also included is a set of analysis
tools such as a common framework for the visualization of domains and agent performance in various domains.
Artifact burlap
Group edu.brown.cs.burlap
Version 2.1.1
Last update 30. April 2016
Tags: single domains supports function visualization tools forward search oriented value algorithms continuous such code wide agent default planning representation them multi included reinforcement burlap range development common state states object from analysis performance various implement types forms classic umbc rich your problem learning framework stochastic including discrete relational library java brown accompany also based
Organization not specified
URL http://burlap.cs.brown.edu
License GNU LGPL Version 3.0
Dependencies amount 24
Dependencies colt, beanutils, commons-collections, commons-lang3, commons-logging, commons-math3, csparsej, ejml, hamcrest-core, jackson-annotations, jackson-core, jackson-databind, jcommon, jfreechart, joptimizer, junit, log4j, servlet-api, snakeyaml, xml-apis, weka-stable, trove4j, guava, jopt-simple,
There are maybe transitive dependencies!
Group edu.brown.cs.burlap
Version 2.1.1
Last update 30. April 2016
Tags: single domains supports function visualization tools forward search oriented value algorithms continuous such code wide agent default planning representation them multi included reinforcement burlap range development common state states object from analysis performance various implement types forms classic umbc rich your problem learning framework stochastic including discrete relational library java brown accompany also based
Organization not specified
URL http://burlap.cs.brown.edu
License GNU LGPL Version 3.0
Dependencies amount 24
Dependencies colt, beanutils, commons-collections, commons-lang3, commons-logging, commons-math3, csparsej, ejml, hamcrest-core, jackson-annotations, jackson-core, jackson-databind, jcommon, jfreechart, joptimizer, junit, log4j, servlet-api, snakeyaml, xml-apis, weka-stable, trove4j, guava, jopt-simple,
There are maybe transitive dependencies!
burlap.oomdp.auxiliary.common.SinglePFTF
burlap.oomdp.auxiliary.common.NullAbstraction
burlap.oomdp.auxiliary.common.RandomStartStateGenerator
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
supports a wide range of problem types including discrete, continuous, or relational domains. By default
states of domains use the rich object-oriented MDP representation, but you can also implement
your own forms of state representation. Planning and learning algorithms range from classic forward search
planning to value function-based stochastic planning and learning algorithms. Also included is a set of analysis
tools such as a common framework for the visualization of domains and agent performance in various domains.
Artifact burlap
Group edu.brown.cs.burlap
Version 2.1.0
Last update 25. March 2016
Tags: single domains supports function visualization tools forward search oriented value algorithms continuous such code wide agent default planning representation them multi included reinforcement burlap range development common state states object from analysis performance various implement types forms classic umbc rich your problem learning framework stochastic including discrete relational library java brown accompany also based
Organization not specified
URL http://burlap.cs.brown.edu
License GNU LGPL Version 3.0
Dependencies amount 24
Dependencies colt, beanutils, commons-collections, commons-lang3, commons-logging, commons-math3, csparsej, ejml, hamcrest-core, jackson-annotations, jackson-core, jackson-databind, jcommon, jfreechart, joptimizer, junit, log4j, servlet-api, snakeyaml, xml-apis, weka-stable, trove4j, guava, jopt-simple,
There are maybe transitive dependencies!
Group edu.brown.cs.burlap
Version 2.1.0
Last update 25. March 2016
Tags: single domains supports function visualization tools forward search oriented value algorithms continuous such code wide agent default planning representation them multi included reinforcement burlap range development common state states object from analysis performance various implement types forms classic umbc rich your problem learning framework stochastic including discrete relational library java brown accompany also based
Organization not specified
URL http://burlap.cs.brown.edu
License GNU LGPL Version 3.0
Dependencies amount 24
Dependencies colt, beanutils, commons-collections, commons-lang3, commons-logging, commons-math3, csparsej, ejml, hamcrest-core, jackson-annotations, jackson-core, jackson-databind, jcommon, jfreechart, joptimizer, junit, log4j, servlet-api, snakeyaml, xml-apis, weka-stable, trove4j, guava, jopt-simple,
There are maybe transitive dependencies!
burlap.oomdp.auxiliary.common.SinglePFTF
burlap.oomdp.auxiliary.common.NullAbstraction
burlap.oomdp.auxiliary.common.RandomStartStateGenerator
This is a library for connecting BURLAP with robots that
are controlled with ROS over rosbridge. It makes use
of the java_rosbridge library.
Artifact burlap_rosbridge
Group edu.brown.cs.burlap
Version 2.1.0
Last update 25. March 2016
Tags: burlap java_rosbridge robots that connecting with over rosbridge makes library controlled this
Organization not specified
URL https://github.com/h2r/burlap_rosbridge
License GNU LGPL Version 3.0
Dependencies amount 1
Dependencies java_rosbridge,
There are maybe transitive dependencies!
Group edu.brown.cs.burlap
Version 2.1.0
Last update 25. March 2016
Tags: burlap java_rosbridge robots that connecting with over rosbridge makes library controlled this
Organization not specified
URL https://github.com/h2r/burlap_rosbridge
License GNU LGPL Version 3.0
Dependencies amount 1
Dependencies java_rosbridge,
There are maybe transitive dependencies!
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