/**
* 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 org.cspoker.ai.experiments;
import java.io.IOException;
import org.cspoker.ai.bots.BotRunner;
import org.cspoker.ai.bots.bot.BotFactory;
import org.cspoker.ai.bots.bot.gametree.mcts.FixedSampleMCTSBotFactory;
import org.cspoker.ai.bots.bot.gametree.mcts.MCTSBotFactory;
import org.cspoker.ai.bots.bot.gametree.mcts.nodes.MCTSBucketShowdownNode;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.backpropagation.MaxDistributionBackPropStrategy;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.backpropagation.MixedBackPropStrategy;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.backpropagation.SampleWeightedBackPropStrategy;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.selection.MaxValueSelector;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.selection.SamplingSelector;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.selection.SamplingToFunctionSelector;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.selection.UCTPlusSelector;
import org.cspoker.ai.bots.bot.gametree.mcts.strategies.selection.UCTSelector;
import org.cspoker.ai.bots.bot.gametree.search.expander.sampling.*;
import org.cspoker.ai.opponentmodels.weka.WekaOptions;
import org.cspoker.ai.opponentmodels.weka.WekaRegressionModelFactory;
import org.cspoker.server.embedded.EmbeddedCSPokerServer;
@Deprecated
public class RunExperimentD {
public static void main(String[] args) throws IOException, ClassNotFoundException {
WekaOptions config = new WekaOptions();
config.setUseOnlineLearning(false);
if(args[0].equals("time")){
int time = Integer.parseInt(args[1]);
int C = Integer.parseInt(args[2]);
double C2 = Double.parseDouble(args[3]);
int treshold1 = Integer.parseInt(args[4]);
int treshold2 = Integer.parseInt(args[5]);
new BotRunner(
new EmbeddedCSPokerServer(),
new BotFactory[] {
new MCTSBotFactory(
"Standard Bot",
WekaRegressionModelFactory.createForZip("org/cspoker/client/bots/bot/search/opponentmodel/weka/models/model1.zip", config),
new SamplingToFunctionSelector(treshold1,new UCTSelector(C)),
new SamplingSelector(),
new MaxValueSelector(),
new MCTSBucketShowdownNode.Factory(),
new MixedBackPropStrategy.Factory(
treshold2,
new SampleWeightedBackPropStrategy.Factory(),
new MaxDistributionBackPropStrategy.Factory()
),
new StochasticUniversalSampler(),
time
),
new MCTSBotFactory(
"MaxDistribution Bot",
WekaRegressionModelFactory.createForZip("org/cspoker/client/bots/bot/search/opponentmodel/weka/models/model1.zip", config),
new SamplingToFunctionSelector(treshold1,new UCTPlusSelector(C, C2)),
new SamplingSelector(),
new MaxValueSelector(),
new MCTSBucketShowdownNode.Factory(),
new MixedBackPropStrategy.Factory(
treshold2,
new SampleWeightedBackPropStrategy.Factory(),
new MaxDistributionBackPropStrategy.Factory()
),
new StochasticUniversalSampler(),
time
)
}
);
}else if(args[0].equals("samples")){
int p = Integer.parseInt(args[1]);
int f = Integer.parseInt(args[2]);
int t = Integer.parseInt(args[3]);
int r = Integer.parseInt(args[4]);
int C = Integer.parseInt(args[5]);
double C2 = Double.parseDouble(args[6]);
int treshold1 = Integer.parseInt(args[7]);
int treshold2 = Integer.parseInt(args[8]);
new BotRunner(
new EmbeddedCSPokerServer(),
new BotFactory[] {
new FixedSampleMCTSBotFactory(
"Standard Bot",
WekaRegressionModelFactory.createForZip("org/cspoker/client/bots/bot/search/opponentmodel/weka/models/model1.zip", config),
new SamplingToFunctionSelector(treshold1,new UCTSelector(C)),
new SamplingSelector(),
new MaxValueSelector(),
new MCTSBucketShowdownNode.Factory(),
new MixedBackPropStrategy.Factory(
treshold2,
new SampleWeightedBackPropStrategy.Factory(),
new MaxDistributionBackPropStrategy.Factory()
),
new StochasticUniversalSampler(),
p,f,t,r
),
new FixedSampleMCTSBotFactory(
"MaxDistribution Bot",
WekaRegressionModelFactory.createForZip("org/cspoker/client/bots/bot/search/opponentmodel/weka/models/model1.zip", config),
new SamplingToFunctionSelector(treshold1,new UCTPlusSelector(C, C2)),
new SamplingSelector(),
new MaxValueSelector(),
new MCTSBucketShowdownNode.Factory(),
new MixedBackPropStrategy.Factory(
treshold2,
new SampleWeightedBackPropStrategy.Factory(),
new MaxDistributionBackPropStrategy.Factory()
),
new StochasticUniversalSampler(),
p,f,t,r
)
}
);
}
}
}