fisheries_matrices: fisheries_matrices

In sarsop: Approximate POMDP Planning Software

fisheries_matrices

Description

Initialize the transition, observation, and reward matrices given a transition function, reward function, and state space

Usage

fisheries_matrices(
  states = 0:20,
  actions = states,
  observed_states = states,
  reward_fn = function(x, a) pmin(x, a),
  f = ricker(1, 15),
  sigma_g = 0.1,
  sigma_m = 0.1,
  noise = c("rescaled-lognormal", "lognormal", "uniform", "normal")
)

Arguments

states	sequence of possible states
actions	sequence of possible actions
observed_states	sequence of possible observations
reward_fn	function of x and a that gives reward for tacking action a when state is x
f	transition function of state x and action a.
sigma_g	half-width of uniform shock or equivalent variance for log-normal
sigma_m	half-width of uniform shock or equivalent variance for log-normal
noise	distribution for noise, "lognormal" or "uniform"

Details

assumes log-normally distributed observation errors and process errors

Value

list of transition matrix, observation matrix, and reward matrix

Examples

m <- fisheries_matrices()

sarsop documentation built on April 16, 2025, 9:08 a.m.