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multiobjectiveMDP: Solution Methods for Multi-Objective Markov Decision Processes

Compendium of the most representative algorithms in print—vector-valued dynamic programming, linear programming, policy iteration, the weighting factor approach—for solving multi-objective Markov decision processes, with or without reward discount, over a finite or infinite horizon. Mifrani, A. (2024) <doi:10.1007/s10479-024-06439-x>; Mifrani, A. & Noll, D. <doi:10.48550/arXiv.2502.13697>; Wakuta, K. (1995) <doi:10.1016/0304-4149(94)00064-Z>.

Version: 1.0.0
Imports: dplyr, linprog, lintools, nsga2R, pracma, prodlim, stats
Suggests: knitr, rmarkdown
Published: 2026-03-06
DOI: 10.32614/CRAN.package.multiobjectiveMDP
Author: Anas Mifrani ORCID iD [aut, cre, cph]
Maintainer: Anas Mifrani <anas.mifrani at math.univ-toulouse.fr>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: multiobjectiveMDP results

Documentation:

Reference manual: multiobjectiveMDP.html , multiobjectiveMDP.pdf
Vignettes: Introduction to multiobjectiveMDP (source, R code)

Downloads:

Package source: multiobjectiveMDP_1.0.0.tar.gz
Windows binaries: r-devel: multiobjectiveMDP_1.0.0.zip, r-release: not available, r-oldrel: multiobjectiveMDP_1.0.0.zip
macOS binaries: r-release (arm64): multiobjectiveMDP_1.0.0.tgz, r-oldrel (arm64): multiobjectiveMDP_1.0.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multiobjectiveMDP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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