public Agent(int position_x, int position_y, double learning_rate, LabSpace lab, Game game, bool fastLearning = false, double radius = .25)
{
this.position_x = position_x;
this.position_y = position_y;
this.radius = radius;
// Set learning rate
if (learning_rate < 0)
{
learning_rate = 0;
}
if (learning_rate > .99)
{
learning_rate = .99;
}
this.learning_rate = learning_rate;
// Set fast learning
this.fastLearning = fastLearning;
// Set game instance
this.game = game;
// Set lab in which agent have to learn
this.lab = lab;
// Start Q and A matrix as zero matrix
Q = new Matrix(game.getR().getLength());
A = new Matrix(game.getR().getLength());
// Start async brain operations
brain = new Thread(new ThreadStart(brainWorker));
brain.Start();
}
// PUBLIC FUNCTIONS
public void drawLabWalls(int x, int y, int width, int height, Color color)
{
lab = new LabSpace(x, y, width, height, color);
// Start R matrix - direct rewards matrix (top-right screen)
R = new Matrix((width - 1) * (height - 1));
R.setValue(width - 3, width - 2, 1);
R.setValue((width - 1) * 2 - 1, width - 2, 1);
}
