public double[] rollOut()
{
Playfield RandomRollerState = new Playfield(state);
int action = 0;
while (!RandomRollerState.isEnded() && action != -1) {
action = RandomRoller.roll(RandomRollerState);
if(action >= 0)
{
RandomRollerState.tick(action);
}
}
return m_ParetoMCTSPlayer.getHeuristic().value(RandomRollerState);
}
public SimpleTreeNode expand() {
// choose a random unused action and add a new node for that
int bestAction = -1;
double bestValue = -1;
for (int i = 0; i < children.Length; i++) {
double x = r.NextDouble();
if (x > bestValue && children[i] == null) {
bestAction = i;
bestValue = x;
}
}
Playfield nextState = new Playfield(state);
nextState.tick(bestAction);
SimpleTreeNode tn = new SimpleTreeNode(nextState, this, this.RandomRoller, this.paretoTreePolicy, this.m_ParetoMCTSPlayer);
children[bestAction] = tn;
return tn;
}
