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

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

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

• Cassandra, A. (2015). pomdp-solve: POMDP Solver Software, http://www.pomdp.org.