/** * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or * (at your option) any later version. * * This program is distributed in the hope that it will be useful, * but WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the * GNU General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. */ package bots.mctsbot.ai.bots.bot.gametree.mcts.strategies.selection; import java.util.Random; import bots.mctsbot.ai.bots.bot.gametree.mcts.nodes.INode; import bots.mctsbot.ai.bots.bot.gametree.mcts.nodes.InnerNode; import com.google.common.collect.ImmutableList; public class SampleProportionateSelector implements SelectionStrategy { private final static Random random = new Random(); @Override public INode select(InnerNode innerNode) { ImmutableList<INode> children = innerNode.getChildren(); int[] cumulSums = new int[children.size()]; int cumulSum = 0; for (int i = 0; i < children.size(); i++) { int nbSamples = children.get(i).getNbSamples(); cumulSum += nbSamples; cumulSums[i] = cumulSum; } int randVar = random.nextInt(cumulSum); for (int i = 0; i < cumulSums.length; i++) { if (randVar < cumulSums[i]) { return children.get(i); } } return children.get(cumulSums.length - 1); } }