public GamblersWorldWith100DollarsToWin(int dollarsInHand, int stake)
{
_currentState = new GamblersWorldState(dollarsInHand);
_action = new GamblersWorldAction(stake);
_world = new GamblersWorld(ProbabilityOfHeads, 100);
}
public void Has_states_equal_to_dollars_to_win_plus_one(
[Range(1, 100)] int dollarsToWin)
{
const double probabilityOfHeads = 0.4;
var world = new GamblersWorld(probabilityOfHeads, dollarsToWin);
Assert.AreEqual(dollarsToWin + 1, world.AllStates().Count());
}
public void Number_of_possible_actions(int dollarsToWin, int dollarsInHand, int numPossibleActions)
{
const double probabilityOfHeads = 0.4;
var world = new GamblersWorld(probabilityOfHeads, dollarsToWin);
var actualNumberOfActions = world
.AvailableActions(new GamblersWorldState(dollarsInHand))
.Count();
Assert.AreEqual(numPossibleActions, actualNumberOfActions,
$"expected {numPossibleActions} possible actions when ${dollarsToWin} to win, " +
$"and ${dollarsInHand} in hand. Got {actualNumberOfActions}");
}
public void Evaluates_to_same_values_as_gamblers_value_table()
{
const double probabilityOfHeads = 0.4;
const int dollarsToWin = 100;
var gamblersWorld = new GamblersWorld(probabilityOfHeads, dollarsToWin);
var rewarder = new GamblersWorldRewarder(gamblersWorld);
var policy = new UniformRandomGamblersPolicy();
var gamblersValues = new GamblersValueTable(gamblersWorld);
var genericValues = new ValueTable <GamblersWorldState, GamblersWorldAction>(gamblersWorld);
gamblersValues.Evaluate(policy, rewarder);
genericValues.Evaluate(policy, rewarder);
Assert.That(() => AllValuesAreEqual(gamblersWorld, genericValues, gamblersValues));
}
