public int getBestVirtualMove() {
_logNrPlayouts = Math.log(_totalPlayouts + 1.0f);
_beta = getBeta();
int bestMove = GoConstant.PASS;
double bestResult = computeResult(_bestMove);
if (_bestMove != GoConstant.PASS && bestResult > _bestResult) {
assert (bestResult > 0.0);
usedLastBest = true;
// What was previously the best move, most likely still is as it only got better.
_bestResult = bestResult;
return _bestMove;
}
usedLastBest = false;
for (int i = _emptyPoints.getSize(); --i >= 0; ) {
int next = _emptyPoints.get(i);
double result = computeResult(next);
boolean better;
if (result > bestResult) better = true;
else if (result == bestResult)
better =
(bestMove == GoConstant.PASS || _virtualPlayouts[next] > _virtualPlayouts[bestMove]);
else better = false;
if (better) {
bestMove = next;
bestResult = result;
}
}
_bestMove = bestMove;
_bestResult = bestResult;
assert (bestResult >= 0.0);
return bestMove;
}
public int getBestMove() {
int bestMove = GoConstant.PASS;
for (int i = _emptyPoints.getSize(); --i >= 0; ) {
int next = _emptyPoints.get(i);
if (isBetterResultThan(next, bestMove)) bestMove = next;
}
return bestMove;
}
public void setPointSet(MonteCarloPluginAdministration administration) {
MersenneTwisterFast random = administration.RANDOM;
_boardSize = administration.getBoardSize();
assert (_emptyPoints.getSize() == 0);
PointSet copy = PointSetFactory.createPointSet();
copy.copyFrom(administration.getEmptyPoints());
// boolean isTestVersion = GlobalParameters.isTestVersion();
ProbabilityMap map = administration.getProbabilityMap();
byte colorToMove = administration.getColorToMove();
for (int size = copy.getSize(); size > 0; size--) {
int xy = copy.get(random.nextInt(size));
copy.remove(xy);
if (administration.isLegal(xy) && !administration.isVerboten(xy)) {
_emptyPoints.add(xy);
// if (isTestVersion)
// {
// float weight = (float)map.getWeight(xy, colorToMove);
// float factor = (float)Math.log(weight);
// if (weight<1.0)
// weight = 0.0f;
// else
// weight -= 1.0f;
// if (factor<1)
// factor = 1.0f;
// _virtualPlayouts[xy] = weight/factor;
// _virtualWins[xy] = weight;
// }
// else
{
_virtualPlayouts[xy] = 0.0f;
_virtualWins[xy] = 0.0f;
}
}
}
copy.recycle();
if (administration.isGameAlmostFinished()) {
_virtualPlayouts[GoConstant.PASS] = 0;
_virtualWins[GoConstant.PASS] = 0;
_emptyPoints.add(GoConstant.PASS);
}
for (MoveGenerator generator : administration.getExplorationMoveGeneratorList()) {
int xy = generator.generate();
if (xy != GoConstant.UNDEFINED_COORDINATE)
increaseVirtualPlayouts(xy, generator.getUrgency(), generator.getUrgency());
}
assert (_emptyPoints.freeze());
}
protected void init() {
_xy = GoConstant.UNDEFINED_COORDINATE;
_logNrPlayouts = 0.0;
_beta = 0.0;
_totalPlayouts = 0;
_bestMove = GoConstant.PASS;
_bestResult = -1.0;
usedLastBest = false;
_emptyPoints.clear();
GoArray.clear(_playouts);
GoArray.clear(_wins);
GoArray.clear(_virtualWins);
GoArray.clear(_virtualPlayouts);
// GoArray.clear(_results);
}
public void copyDataFrom(MonteCarloHashMapResult source) {
_xy = source._xy;
_color = source._color;
_totalPlayouts = source._totalPlayouts;
_wins = Arrays.copyOf(source._wins, source._wins.length);
_playouts = Arrays.copyOf(source._playouts, source._playouts.length);
_virtualWins = Arrays.copyOf(source._virtualWins, source._virtualWins.length);
_virtualPlayouts = Arrays.copyOf(source._virtualPlayouts, source._virtualPlayouts.length);
_emptyPoints.copyFrom(source._emptyPoints);
_logNrPlayouts = source._logNrPlayouts;
_beta = source._beta;
_age = source._age;
_checksum = source._checksum;
_bestMove = source._bestMove;
_bestResult = source._bestResult;
usedLastBest = source.usedLastBest;
_boardSize = source._boardSize;
}
// @Override
public void recycle() {
assert (_emptyPoints.unfreeze());
_owner.push(this);
}
