The Markov Decision Processes (MDP) toolbox proposes functions related to the resolution of discrete-time Markov Decision Processes: finite horizon, value iteration, policy iteration, linear programming algorithms with some variants and also proposes some functions related to Reinforcement Learning.
| Version: | 4.0.4 |
| Depends: | Matrix, linprog |
| Published: | 2026-08-31 |
| DOI: | 10.32614/CRAN.package.MDPtoolbox |
| Author: | Iadine Chades [aut], Guillaume Chapron [aut, cre], Marie-Josee Cros [aut], Frederick Garcia [aut], Regis Sabbadin [aut] |
| Maintainer: | Guillaume Chapron <gchapron at carnivoreconservation.org> |
| License: | BSD_3_clause + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | MDPtoolbox results |
| Reference manual: | MDPtoolbox.html , MDPtoolbox.pdf |
| Package source: | MDPtoolbox_4.0.4.tar.gz |
| Windows binaries: | r-devel: MDPtoolbox_4.0.3.zip, r-release: MDPtoolbox_4.0.3.zip, r-oldrel: MDPtoolbox_4.0.3.zip |
| macOS binaries: | r-release (arm64): MDPtoolbox_4.0.3.tgz, r-oldrel (arm64): MDPtoolbox_4.0.3.tgz, r-release (x86_64): MDPtoolbox_4.0.4.tgz, r-oldrel (x86_64): MDPtoolbox_4.0.4.tgz |
| Old sources: | MDPtoolbox archive |
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