Implemented agent which chooses to play winning, losing or random moves by solving a simplified MDP model of the game using policy iteration.
Portions of MDP/solver code by Ciaran O'Reilly and Ravi Mohan used under MIT license.
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package aima.core.probability.mdp;
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import junit.framework.Assert;
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import org.junit.Before;
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import org.junit.Test;
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import aima.core.environment.cellworld.Cell;
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import aima.core.environment.cellworld.CellWorld;
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import aima.core.environment.cellworld.CellWorldAction;
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import aima.core.environment.cellworld.CellWorldFactory;
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import aima.core.probability.example.MDPFactory;
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import aima.core.probability.mdp.MarkovDecisionProcess;
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/**
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*
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* @author Ciaran O'Reilly
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* @author Ravi Mohan
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*
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*/
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public class MarkovDecisionProcessTest {
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public static final double DELTA_THRESHOLD = 1e-3;
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private CellWorld<Double> cw = null;
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private MarkovDecisionProcess<Cell<Double>, CellWorldAction> mdp = null;
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@Before
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public void setUp() {
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cw = CellWorldFactory.createCellWorldForFig17_1();
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mdp = MDPFactory.createMDPForFigure17_3(cw);
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}
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@Test
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public void testActions() {
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// Ensure all actions can be performed in each cell
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// except for the terminal states.
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for (Cell<Double> s : cw.getCells()) {
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if (4 == s.getX() && (3 == s.getY() || 2 == s.getY())) {
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Assert.assertEquals(0, mdp.actions(s).size());
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} else {
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Assert.assertEquals(5, mdp.actions(s).size());
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}
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}
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}
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@Test
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public void testMDPTransitionModel() {
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Assert.assertEquals(0.8, mdp.transitionProbability(cw.getCellAt(1, 2),
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cw.getCellAt(1, 1), CellWorldAction.Up), DELTA_THRESHOLD);
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Assert.assertEquals(0.1, mdp.transitionProbability(cw.getCellAt(1, 1),
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cw.getCellAt(1, 1), CellWorldAction.Up), DELTA_THRESHOLD);
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Assert.assertEquals(0.1, mdp.transitionProbability(cw.getCellAt(2, 1),
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cw.getCellAt(1, 1), CellWorldAction.Up), DELTA_THRESHOLD);
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Assert.assertEquals(0.0, mdp.transitionProbability(cw.getCellAt(1, 3),
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cw.getCellAt(1, 1), CellWorldAction.Up), DELTA_THRESHOLD);
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Assert.assertEquals(0.9, mdp.transitionProbability(cw.getCellAt(1, 1),
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cw.getCellAt(1, 1), CellWorldAction.Down), DELTA_THRESHOLD);
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Assert.assertEquals(0.1, mdp.transitionProbability(cw.getCellAt(2, 1),
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cw.getCellAt(1, 1), CellWorldAction.Down), DELTA_THRESHOLD);
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Assert.assertEquals(0.0, mdp.transitionProbability(cw.getCellAt(3, 1),
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cw.getCellAt(1, 1), CellWorldAction.Down), DELTA_THRESHOLD);
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Assert.assertEquals(0.0, mdp.transitionProbability(cw.getCellAt(1, 2),
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cw.getCellAt(1, 1), CellWorldAction.Down), DELTA_THRESHOLD);
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Assert.assertEquals(0.9, mdp.transitionProbability(cw.getCellAt(1, 1),
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cw.getCellAt(1, 1), CellWorldAction.Left), DELTA_THRESHOLD);
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Assert.assertEquals(0.0, mdp.transitionProbability(cw.getCellAt(2, 1),
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cw.getCellAt(1, 1), CellWorldAction.Left), DELTA_THRESHOLD);
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Assert.assertEquals(0.0, mdp.transitionProbability(cw.getCellAt(3, 1),
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cw.getCellAt(1, 1), CellWorldAction.Left), DELTA_THRESHOLD);
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Assert.assertEquals(0.1, mdp.transitionProbability(cw.getCellAt(1, 2),
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cw.getCellAt(1, 1), CellWorldAction.Left), DELTA_THRESHOLD);
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Assert.assertEquals(0.8, mdp.transitionProbability(cw.getCellAt(2, 1),
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cw.getCellAt(1, 1), CellWorldAction.Right), DELTA_THRESHOLD);
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Assert.assertEquals(0.1, mdp.transitionProbability(cw.getCellAt(1, 1),
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cw.getCellAt(1, 1), CellWorldAction.Right), DELTA_THRESHOLD);
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Assert.assertEquals(0.1, mdp.transitionProbability(cw.getCellAt(1, 2),
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cw.getCellAt(1, 1), CellWorldAction.Right), DELTA_THRESHOLD);
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Assert.assertEquals(0.0, mdp.transitionProbability(cw.getCellAt(1, 3),
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cw.getCellAt(1, 1), CellWorldAction.Right), DELTA_THRESHOLD);
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}
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@Test
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public void testRewardFunction() {
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// Ensure all actions can be performed in each cell.
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for (Cell<Double> s : cw.getCells()) {
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if (4 == s.getX() && 3 == s.getY()) {
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Assert.assertEquals(1.0, mdp.reward(s), DELTA_THRESHOLD);
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} else if (4 == s.getX() && 2 == s.getY()) {
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Assert.assertEquals(-1.0, mdp.reward(s), DELTA_THRESHOLD);
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} else {
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Assert.assertEquals(-0.04, mdp.reward(s), DELTA_THRESHOLD);
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}
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}
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}
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}
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