dplyr, tidyr (>= 1.0.0), ggplot2, assertthat, stats, rlang,
magrittr, stringr

Solver for Partially Observable Markov Decision Processes
(POMDP)
c(person("Hossein", "Kamalzadeh", email = "hkamalzadeh@smu.edu",
role = c("aut", "cph","cre")),
person("Michael", "Hahsler", email = "mhahsler@lyle.smu.edu",
role = c("aut", "cph")),
person(c("Anthony", "R."), "Cassandra",
role = c("ctb", "cph"))
)
Provides an interface to pomdp-solve, a solver for Partially Observable Markov Decision Processes (POMDP). The package enables the user to simply define all components of a POMDP model and solve the problem using several methods. The package also contains functions to analyze and visualize the POMDP solutions (e.g., the optimal policy).
pomdp-solve is Copyright (C) Anthony R. Cassandra; LASPack
is Copyright (C) Tomas Skalicky; lp-solve is Copyright (C)
Michel Berkelaar, Kjell Eikland, Peter Notebaert; all other
code is Copyright (C) Hossein Kamalzadeh and Michael Hahsler.
Hossein Kamalzadeh [aut, cph, cre],
Michael Hahsler [aut, cph],
Anthony R. Cassandra [ctb, cph]

c(person(given = "Hossein",
family = "Kamalzadeh",
role = c("aut", "cph", "cre"),
email = "hkamalzadeh@mail.smu.edu"),
person(given = "Michael",
family = "Hahsler",
role = c("aut", "cph"),
email = "mhahsler@lyle.smu.edu"),
person(given = c("Anthony", "R."),
family = "Cassandra",
role = c("ctb", "cph")))
Provides the infrastructure to define and analyze the solutions of Partially Observable Markov Decision Processes (POMDP) models. The package includes pomdp-solve to solve POMDPs using a variety of exact and approximate value iteration algorithms. Smallwood and Sondik (1973) <doi:10.1287/opre.21.5.1071>.

c(person(given = "Michael",
family = "Hahsler",
role = c("aut", "cph", "cre"),
email = "mhahsler@lyle.smu.edu"),
person(given = "Hossein",
family = "Kamalzadeh",
role = c("aut", "cph")),
person(given = c("Anthony", "R."),
family = "Cassandra",
role = c("ctb", "cph")))
Michael Hahsler [aut, cph, cre],
Hossein Kamalzadeh [aut, cph],
Anthony R. Cassandra [ctb, cph]