sarsop_plus: sarsop_plus

In boettiger-lab/pomdpplus: Planning and Learning in Uncertain Systems

Description

sarsop_plus

Usage

sarsop_plus(models, discount, state_prior = NULL, mc.cores = 1L,
  log_data = NULL, ...)

Arguments

models	a list of lists, each of which gives the transition matrix, observation matrix and reward matrix for the model considered
discount	discount rate
state_prior	Prior belief that system is in state x_i and model m_i
mc.cores	number of parallel cores to use
log_data	a data frame with information to be logged, one row for each model. Leave NULL if not logging
...	additional options to sarsop::sarsop, if alphas are not provided

Value

A list of alpha vector matrices

Examples

## Not run: 
#' source(system.file("examples/K_models.R", package="pomdpplus"))
alphas <- sarsop_plus(models, discount, precision = 1)
unif <- compute_plus_policy(alphas, models, c(0.5, 0.5))

## End(Not run)

boettiger-lab/pomdpplus documentation built on May 24, 2019, 3:05 a.m.