Package: pomdp
Title: Solver for Partially Observable Markov Decision Processes
        (POMDP)
Version: 1.0.0
Date: 2022-02-23
Authors@R: 
      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")))
Description: 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>.
Classification/ACM: G.4, G.1.6, I.2.6
URL: https://github.com/mhahsler/pomdp
BugReports: https://github.com/mhahsler/pomdp/issues
Depends: R (>= 3.5.0)
Imports: pomdpSolve, igraph
Suggests: knitr, rmarkdown, testthat, Ternary, visNetwork, sarsop
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL (>= 3)
Copyright: Copyright (C) Hossein Kamalzadeh and Michael Hahsler.
RoxygenNote: 7.1.2.9000
Collate: 'AAA_check_installed.R' 'AAA_imports.R' 'AAA_pomdp-package.R'
        'POMDP.R' 'MDP.R' 'Maze.R' 'Tiger.R' 'colors.R'
        'optimal_action.R' 'plot_belief_space.R' 'plot_policy_graph.R'
        'plot_value_function.R' 'policy.R' 'policy_graph.R'
        'print.text.R' 'read_write_POMDP.R' 'read_write_pomdp_solve.R'
        'reward.R' 'round_stochchastic.R' 'sample_belief_space.R'
        'solve_MDP.R' 'solve_POMDP.R' 'solve_SARSOP.R'
        'transition_matrix.R' 'update_belief.R' 'visNetwork.R'
NeedsCompilation: no
Packaged: 2022-02-23 21:21:18 UTC; hahsler
Author: Michael Hahsler [aut, cph, cre],
  Hossein Kamalzadeh [aut, cph]
Maintainer: Michael Hahsler <mhahsler@lyle.smu.edu>
Repository: CRAN
Date/Publication: 2022-02-24 07:50:16 UTC
