@Test
public void testQTable() {
final QTable t = getTestTable();
try {
t.getColumnIndex("unknown");
fail("NullPointerException was expected");
} catch (NullPointerException e) {
assertTrue(true);
} catch (Exception e) {
fail("NullPointerException was expected");
}
assertEquals(0, t.getColumnIndex("f"));
assertTrue(t.hasColumn("f"));
assertFalse(t.hasColumn("unknown"));
assertEquals(t, t);
assertEquals(t, getTestTable());
int i = 0;
final Iterator<Row> it = t.iterator();
while (it.hasNext()) {
final Row row = it.next();
final Iterator<Object> cit = row.iterator();
int j = 0;
while (cit.hasNext()) {
final Object v = cit.next();
assertEquals(t.get(i).get(j), v);
j++;
}
assertEquals(t.getColumnsCount(), j);
i++;
}
assertEquals(t.getRowsCount(), i);
}
void runLearningLoop() {
QTable q = new QTable(getActionRange());
int moveCounter = 0;
int count = 0;
while (count < 100) {
// PRINT MAP
// printMap();
// CHECK IF WON, THEN RESET
if (isGoalReached()) {
System.out.println("GOAL REACHED IN " + moveCounter + " MOVES!");
resetMaze();
moveCounter = 0;
count++;
// q.updateQvalue(100, map);
// return;
}
// DETERMINE ACTION
int action = q.getNextAction(getMap());
// System.out.println(action+"MOVING: "+getMoveName(action));
goToNextState(action);
moveCounter++;
// REWARDS AND ADJUSTMENT OF WEIGHTS SHOULD TAKE PLACE HERE
if (isGoalReached()) {
q.updateQvalue(1, map);
} else {
q.updateQvalue(-100, map);
}
// COMMENT THE SLEEP FUNCTION IF YOU NEED FAST TRAINING WITHOUT
// NEEDING TO ACTUALLY SEE IT PROGRESS
// Thread.sleep(1000);
}
}
