Provides the infrastructure to define and analyze the solutions of Partially Observable Markov Decision Process (POMDP) models. Interfaces for various exact and approximate solution algorithms are available including value iteration, point-based value iteration and SARSOP. Smallwood and Sondik (1973) <doi:10.1287/opre.21.5.1071>.
| Version: |
1.2.3 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
pomdpSolve (≥ 1.0.4), processx, stats, methods, Matrix, Rcpp, foreach, igraph |
| LinkingTo: |
Rcpp |
| Suggests: |
knitr, rmarkdown, gifski, testthat, Ternary, visNetwork, sarsop, doParallel |
| Published: |
2024-05-05 |
| DOI: |
10.32614/CRAN.package.pomdp |
| Author: |
Michael Hahsler 
[aut, cph, cre],
Hossein Kamalzadeh [ctb] |
| Maintainer: |
Michael Hahsler <mhahsler at lyle.smu.edu> |
| BugReports: |
https://github.com/mhahsler/pomdp/issues |
| License: |
GPL (≥ 3) |
| Copyright: |
Copyright (C) Michael Hahsler and Hossein Kamalzadeh. |
| URL: |
https://github.com/mhahsler/pomdp |
| NeedsCompilation: |
yes |
| SystemRequirements: |
C++17 |
| Classification/ACM: |
G.4, G.1.6, I.2.6 |
| Citation: |
pomdp citation info |
| Materials: |
README NEWS |
| CRAN checks: |
pomdp results |