private void CreateGUI(object o)
{
int width = (int)((object[])o)[0];
int height = (int)((object[])o)[1];
int selfx = (int)((object[])o)[2];
int selfy = (int)((object[])o)[3];
int goalx = (int)((object[])o)[4];
int goaly = (int)((object[])o)[5];
Maze_With_No_Walls master = (Maze_With_No_Walls)((object[])o)[6];
ManualResetEvent w = (ManualResetEvent)((object[])o)[7];
master.maze = new MazeGUI_Example(width, height, selfx, selfy, goalx, goaly);
w.Set();
Application.Run(maze);
}
public override Dictionary <QFeature, decimal> GetFeatures(QAction action)
{
Point self = ((Maze_With_No_Walls)GetNewState(action)).self;
QSearch qsearch = new QSearch(this);
Maze_With_No_Walls simpleMaze = new Maze_With_No_Walls()
{
maze = maze, self = self, goal = goal, width = width, height = height
};
QSearchResult bestPath = qsearch.AStar(simpleMaze);
return(QFeature_String.FromStringDecimalDictionary(new Dictionary <string, decimal>()
{
//{this.GetHashCode().ToString()+"_"+action, 1}, // Identity to convert this back to QLearning
{ "Goal", goal == self? 1:0 },
{ "Distance_To_Goal", bestPath == null? 1:(decimal)bestPath.Count / (decimal)(width * height) },
}));
}
public override Dictionary<QFeature, decimal> GetFeatures(QAction action)
{
Point self = ((Maze_With_No_Walls)GetNewState(action)).self;
QSearch qsearch = new QSearch(this);
Maze_With_No_Walls simpleMaze = new Maze_With_No_Walls() { maze = maze, self = self, goal = goal, width = width, height = height };
QSearchResult bestPath = qsearch.AStar(simpleMaze);
return QFeature_String.FromStringDecimalDictionary(new Dictionary<string, decimal>() {
//{this.GetHashCode().ToString()+"_"+action, 1}, // Identity to convert this back to QLearning
{"Goal", goal==self? 1:0},
{"Distance_To_Goal", bestPath==null? 1:(decimal) bestPath.Count / (decimal)(width * height)},
});
}