compute_plus_policy: compute_plus_policy

Description Usage Arguments Value Examples

View source: R/compute_plus_policy.R

Description

compute_plus_policy

Usage

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compute_plus_policy(alphas, models, model_prior = NULL, state_prior = NULL,
  a0 = 1)

Arguments

alphas

the alpha vectors for each model, as provided from sarsop_plus, which will otherwise be run each time if not provided.

models

a list of lists, each of which gives the transition matrix, observation matrix and reward matrix for the model considered

model_prior

Prior belief assigned to each model. uniform by default.

state_prior

Prior belief that system is in state x_i and model m_i

a0

initial action (used to make the first observation, only relevant if observation depends on action)

Value

a data frame containing the policy and value associated with each possible observation

Examples

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

## End(Not run)

boettiger-lab/pomdpplus documentation built on Jan. 29, 2018, 3:59 a.m.