pomdp: Solver for Partially Observable Markov Decision Processes (POMDP)

Provides the infrastructure to define and analyze the solutions of Partially Observable Markov Decision Processes (POMDP) models. The package includes pomdp-solve to solve POMDPs using a variety of exact and approximate value iteration algorithms. Smallwood and Sondik (1973) <doi:10.1287/opre.21.5.1071>.

Version: 0.99.2
Depends: R (≥ 3.5.0)
Imports: igraph, Ternary, visNetwork
Suggests: knitr, rmarkdown, sarsop, testthat
Published: 2021-05-14
Author: Michael Hahsler [aut, cph, cre], Hossein Kamalzadeh [aut, cph], Anthony R. Cassandra [ctb, cph]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/mhahsler/pomdp/issues
License: GPL (≥ 3)
Copyright: pomdp-solve is Copyright (C) Anthony R. Cassandra; LASPack is Copyright (C) Tomas Skalicky; lp-solve is Copyright (C) Michel Berkelaar, Kjell Eikland, Peter Notebaert; all other code is Copyright (C) Hossein Kamalzadeh and Michael Hahsler.
URL: https://github.com/mhahsler/pomdp
NeedsCompilation: yes
Classification/ACM: G.4, G.1.6, I.2.6
Materials: README NEWS
CRAN checks: pomdp results

Downloads:

Reference manual: pomdp.pdf
Vignettes: POMDP: Introduction to Partially Observable Markov Decision Processes
Package source: pomdp_0.99.2.tar.gz
Windows binaries: r-devel: pomdp_0.99.0.zip, r-release: pomdp_0.99.2.zip, r-oldrel: pomdp_0.99.0.zip
macOS binaries: r-release: pomdp_0.99.2.tgz, r-oldrel: pomdp_0.99.0.tgz
Old sources: pomdp archive

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