How to use

generateDomain

method

in

burlap.domain.stochasticgames.gridgame.GridGame

public static void main(String[] args) {
  GridGame gg = new GridGame();
  OOSGDomain domain = gg.generateDomain();
  State s = GridGame.getTurkeyInitialState();
  JointRewardFunction jr = new GridGame.GGJointRewardFunction(domain);
  TerminalFunction tf = new GridGame.GGTerminalFunction(domain);
  World world = new World(domain, jr, tf, new ConstantStateGenerator(s));
  DPrint.toggleCode(world.getDebugId(),false);
  SGAgent ragent1 = new RandomSGAgent();
  SGAgent ragent2 = new RandomSGAgent();
  SGAgentType type = new SGAgentType("agent", domain.getActionTypes());
  world.join(ragent1);
  world.join(ragent2);
  GameEpisode ga = world.runGame(20);
  System.out.println(ga.maxTimeStep());
  String serialized = ga.serialize();
  System.out.println(serialized);
  GameEpisode read = GameEpisode.parse(serialized);
  System.out.println(read.maxTimeStep());
  System.out.println(read.state(0).toString());
}

public static void QLCoCoTest(){
  final OOSGDomain domain = gridGame.generateDomain();

public static void saInterface(){
  final OOSGDomain domain = gridGame.generateDomain();

public static void VICorrelatedTest(){
  GridGame gridGame = new GridGame();
  final OOSGDomain domain = gridGame.generateDomain();
  final HashableStateFactory hashingFactory = new SimpleHashableStateFactory();
  final State s = GridGame.getPrisonersDilemmaInitialState();
  JointRewardFunction rf = new GridGame.GGJointRewardFunction(domain, -1, 100, false);
  TerminalFunction tf = new GridGame.GGTerminalFunction(domain);
  SGAgentType at = GridGame.getStandardGridGameAgentType(domain);
  MAValueIteration vi = new MAValueIteration(domain, rf, tf, 0.99, hashingFactory, 0., new CorrelatedQ(CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective.UTILITARIAN), 0.00015, 50);
  World w = new World(domain, rf, tf, s);
  //for correlated Q, use a correlated equilibrium policy joint policy
  ECorrelatedQJointPolicy jp0 = new ECorrelatedQJointPolicy(CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective.UTILITARIAN, 0.);
  MultiAgentDPPlanningAgent a0 = new MultiAgentDPPlanningAgent(domain, vi, new PolicyFromJointPolicy(0, jp0, true), "agent0", at);
  MultiAgentDPPlanningAgent a1 = new MultiAgentDPPlanningAgent(domain, vi, new PolicyFromJointPolicy(1, jp0, true), "agent1", at);
  w.join(a0);
  w.join(a1);
  GameEpisode ga = null;
  List<GameEpisode> games = new ArrayList<GameEpisode>();
  for(int i = 0; i < 10; i++){
    ga = w.runGame();
    games.add(ga);
  }
  Visualizer v = GGVisualizer.getVisualizer(9, 9);
  new GameSequenceVisualizer(v, domain, games);
}

OOSGDomain d = gg.generateDomain();

final OOSGDomain domain = gridGame.generateDomain();