pomdpSolve: Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes

Installs 'pomdp-solve', a program to solve Partially Observable Markov Decision Processes (POMDPs) using a variety of exact and approximate value iteration algorithms. Smallwood and Sondik (1973) <doi:10.1287/opre.21.5.1071>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Published: 2022-02-08
Author: Michael Hahsler [aut, cph, cre], Anthony R. Cassandra [ctb, cph]
Maintainer: Michael Hahsler <mhahsler at lyle.smu.edu>
BugReports: https://github.com/mhahsler/pomdpSolve/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) 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: pomdpSolve results


Reference manual: pomdpSolve.pdf


Package source: pomdpSolve_1.0.0.tar.gz
Windows binaries: r-devel: pomdpSolve_1.0.0.zip, r-release: pomdpSolve_1.0.0.zip, r-oldrel: pomdpSolve_1.0.0.zip
macOS binaries: r-release (arm64): pomdpSolve_1.0.0.tgz, r-oldrel (arm64): pomdpSolve_1.0.0.tgz, r-release (x86_64): pomdpSolve_1.0.0.tgz, r-oldrel (x86_64): pomdpSolve_1.0.0.tgz

Reverse dependencies:

Reverse imports: pomdp


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