calcSteadyStatePr: Calculate the steady state transition probabilities for the...
In MDP: Markov Decision Processes (MDPs) in R
Description
Usage
Arguments
Value
Author(s)
Description
Assume that we consider an ergodic/irreducible
time-homogeneous Markov chain specified using a policy in
the MDP.
Usage
1
calcSteadyStatePr(mdp)
Arguments
mdp
The MDP loaded using loadMDP.
Value
A vector stady state probabilities for all the states.
Author(s)
Lars Relund lars@relund.dk
MDP documentation built on May 2, 2019, 6:48 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Author(s)
Description
Assume that we consider an ergodic/irreducible time-homogeneous Markov chain specified using a policy in the MDP.
Usage
1 | calcSteadyStatePr(mdp)
|
Arguments
mdp |
The MDP loaded using loadMDP. |
Value
A vector stady state probabilities for all the states.
Author(s)
Lars Relund lars@relund.dk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.