public ParetoTreeNode(Playfield state, ParetoTreeNode parent, int childIndex, RandomRoller roller,
ParetoTreePolicy treePolicy, Random rnd, ParetoMCTSPlayer a_player)
{
this.m_player = a_player;
this.state = state;
this.parent = parent;
this.m_rnd = rnd;
//children = new ParetoTreeNode[ParetoMCTSParameters.NUM_ACTIONS];
this.roller = roller;
this.mTreePolicy = treePolicy;
pa = new ParetoArchive();
this.childIndex = childIndex;
this.m_prunedChildren = new bool[ParetoMCTSParameters.NUM_ACTIONS];
this.m_numIters = 0;
//this.m_pi = pi;
isTerminal = false;
isExpanded = false;
isExhausted = false;
numExpandedChildren = 0;
numExhaustedChildren = 0;
nodeNum = GameManager.Instance.nodeCount;
GameManager.Instance.nodeCount++;
totValue = new double[ParetoMCTSParameters.NUM_TARGETS];
}
public SimpleTreeNode(Playfield state, RandomRoller RandomRoller, ParetoTreePolicy ParetoTreePolicy, ParetoMCTSPlayer a_ParetoMCTSPlayer)
{
this(state, null, RandomRoller, ParetoTreePolicy, a_ParetoMCTSPlayer);
this.RandomRoller = RandomRoller;
this.paretoTreePolicy = ParetoTreePolicy;
pa = new ParetoArchive();
}
public ParetoTreeChanceNode(Playfield state, ParetoTreeNode parent, int childIndex, RandomRoller roller,
ParetoTreePolicy treePolicy, Random rnd, ParetoMCTSPlayer a_player, Action chanceAction, int childrenSize) :
this(state, parent, childIndex, roller,
treePolicy, rnd, a_player, chanceAction)
{
this.children = new List <ParetoTreeNode>(childrenSize);
}
public TreeNode(Playfield state, TreeNode parent, RandomRoller RandomRoller, ParetoTreePolicy ParetoTreePolicy, ParetoMCTSPlayer a_ParetoMCTSPlayer)
{
this.m_ParetoMCTSPlayer = a_ParetoMCTSPlayer;
this.parent = parent;
totValue = new double[ParetoMCTSParameters.NUM_TARGETS];
this.RandomRoller = RandomRoller;
this.paretoTreePolicy = ParetoTreePolicy;
// System.out.println("Made a TreeNode of depth " + depth() + ", arity " + children.Length);
}
//public ParetoMCTSPlayer(ParetoTreePolicy a_treePolicy, HeuristicMO a_h, Random a_rnd, Game a_game, PlayoutInfo pInfo)
//{
// m_playoutInfo = pInfo;
// //m_heightMap = new int[a_game.getMap().getMapWidth()][a_game.getMap().getMapHeight()];
// m_heuristic = a_h;
// m_heuristic.setPlayoutInfo(m_playoutInfo);
// m_treePolicy = a_treePolicy;
// this.m_rnd = a_rnd;
// this.m_targetWeights = ParetoMCTSParameters.targetWeights;
// m_globalPA = new ParetoArchive();
// m_randomRoller = new RandomRoller(RandomRoller.RANDOM_ROLLOUT, this.m_rnd, ParetoMCTSParameters.NUM_ACTIONS);
// m_root = new ParetoTreeNode(null, m_randomRoller, m_treePolicy, m_rnd, this, m_playoutInfo);
// this.m_numCalls = 0;
// this.m_numIters = 0;
//}
public ParetoMCTSPlayer(ParetoTreePolicy a_treePolicy, Random a_rnd, Playfield a_game, HeuristicType _ht)
{
//m_playoutInfo = pInfo;
////m_heightMap = new int[a_game.getMap().getMapWidth()][a_game.getMap().getMapHeight()];
//m_heuristic = a_h;
//m_heuristic.setPlayoutInfo(m_playoutInfo);
m_treePolicy = a_treePolicy;
this.m_rnd = a_rnd;
this.m_targetWeights = ParetoMCTSParameters.targetWeights;
m_globalPA = new ParetoArchive();
m_randomRoller = new RandomRoller(RandomRoller.RANDOM_ROLLOUT, this.m_rnd, ParetoMCTSParameters.NUM_ACTIONS);
//m_root = new ParetoTreeNode(null, m_randomRoller, m_treePolicy, m_rnd, this, m_playoutInfo);
m_root = new ParetoTreeNode(a_game, null, -1, m_randomRoller, m_treePolicy, m_rnd, this);
this.m_numCalls = 0;
this.m_numIters = 0;
m_runList = new List <ParetoTreeNode>();
heuristicType = _ht;
////bounds[0][0] = -Math.Sqrt(8) * 8 * 8;
//bounds[0][0] = 0;
//bounds[0][1] = Math.Sqrt(8) * 8 * 8 * 2;
////bounds[1][0] = -Math.Sqrt(8) * 8 * 8;
//bounds[1][0] = 0;
//bounds[1][1] = Math.Sqrt(8) * 8 * 8;
////bounds[2][0] = -10 * 10;
////bounds[2][1] = 10 * 10;
////bounds[2][0] = -Math.Sqrt(8) * 8 * 10;
//bounds[2][0] = 0;
//bounds[2][1] = Math.Sqrt(8) * 8 * 10 * 2;
switch (this.heuristicType)
{
case HeuristicType.Boardvalue:
bounds = new double[3][];
bounds[0] = new double[2];
bounds[1] = new double[2];
bounds[2] = new double[2];
//bounds[0][0] = -Math.Sqrt(8) * 8 * 8;
bounds[0][0] = 0;
bounds[0][1] = 1f;
//bounds[1][0] = -Math.Sqrt(8) * 8 * 8;
bounds[1][0] = 0;
bounds[1][1] = 1f;
//bounds[2][0] = -10 * 10;
//bounds[2][1] = 10 * 10;
//bounds[2][0] = -Math.Sqrt(8) * 8 * 10;
bounds[2][0] = 0;
bounds[2][1] = 1f;
break;
case HeuristicType.LethalCheck:
bounds = new double[1][];
bounds[0] = new double[2];
bounds[0][0] = 0;
bounds[0][1] = 1f;
break;
case HeuristicType.DrawCard:
bounds = new double[2][];
bounds[0] = new double[2];
bounds[1] = new double[2];
bounds[0][0] = 0;
bounds[0][1] = 1f;
bounds[1][0] = 0;
bounds[1][1] = 1f;
initNewCardCount = m_root.state.moveTrigger.newHandcardList.Count;
break;
}
}
