Showing 2 of total 2 results (show query)
mhahsler
pomdp:Infrastructure for Partially Observable Markov Decision Processes (POMDP)
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>.
Maintained by Michael Hahsler. Last updated 4 months ago.
control-theorymarkov-decision-processesoptimizationcpp
19 stars 7.03 score 21 scriptsmhahsler
pomdpSolve:Interface to 'pomdp-solve' for Partially Observable Markov Decision Processes
Installs an updated version of 'pomdp-solve' and provides a low-level interface. Pomdp-solve is a program to solve Partially Observable Markov Decision Processes (POMDPs) using a variety of exact and approximate value iteration algorithms. A convenient R infrastructure is provided in the separate package pomdp. Kaelbling, Littman and Cassandra (1998) <doi:10.1016/S0004-3702(98)00023-X>.
Maintained by Michael Hahsler. Last updated 7 months ago.
control-theorymarkov-decision-processesoptimization
2 stars 3.48 score 3 scripts 1 dependents