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R package pomdpSolve - Interface to ‘pomdp-solve’ for Partially Observable Markov Decision Processes

CRAN version stream r-universe status CRAN RStudio mirror downloads

Provides pomdp-solve (Cassandra, 2015) to solve POMDPs using a variety of algorithms. A convenient interface is provided in package pomdp.

Installation

Stable CRAN version: Install from within R with

install.packages("pomdpSolve")

Current development version: Install from r-universe.

install.packages("pomdpSolve", repos = "https://mhahsler.r-universe.dev")

Usage

Solve a POMDP file that ships with this package in a temporary directory and read the solution.

library(pomdpSolve)

old_wd <- setwd(tempdir())
file.copy(system.file("tiger.aaai.POMDP", package = "pomdpSolve"), "./tiger.aaai.POMDP")
## [1] TRUE
pomdp_solve("tiger.aaai.POMDP", options = list(method = "grid"), verbose = FALSE)
dir()
## [1] "tiger.aaai-0.alpha" "tiger.aaai-0.pg"    "tiger.aaai.POMDP"
read_alpha_file("tiger.aaai-0.alpha")
##         V1    V2
## [1,] -98.5  11.5
## [2,] -10.9   6.5
## [3,]   1.9   1.9
## [4,]   6.5 -10.9
## [5,]  11.5 -98.5
read_pg_file("tiger.aaai-0.pg")
##   N A Z1 Z2
## 1 1 2  3  3
## 2 2 1  3  1
## 3 3 1  4  2
## 4 4 1  5  3
## 5 5 3  3  3
setwd(old_wd)

The value function is defined by a set of alpha vectors represented as rows in a matrix with \(V\) components. Each alpha vector corresponds to a node with the same row number in the policy graph. The policy graph represents the policy in the form of a data.frame with one row for each node. Nodes have a node id \(N\), the action \(A\) defined by the policy and then for each observation \(Z_i\) the id (row) of the policy graph node to transition to.

A detailed description of the available solver options can be found here.

How to Cite this Package

To cite package ‘pomdpSolve’ in publications use:

Hahsler M, Cassandra AR (2023). pomdpSolve: Interface to ‘pomdp-solve’ for Partially Observable Markov Decision Processes. R package version 1.0.3, https://github.com/mhahsler/pomdpSolve.

A BibTeX entry for LaTeX users is

@Manual{, title = {pomdpSolve: Interface to ‘pomdp-solve’ for Partially Observable Markov Decision Processes}, author = {Michael Hahsler and Anthony R. Cassandra}, year = {2023}, note = {R package version 1.0.3}, url = {https://github.com/mhahsler/pomdpSolve}, }

References

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.