public override void update()
{
if (!isLive)
{
return;
}
Obsticle closest = closestObst();
///for some reason the training is extremely fast WITHOUT input normalization
float dx = (float)(closest.XRight() - X()) / Global.winWidth,
dy = (float)(closest.hatchYCenter() - YCenter()) / Global.winHeight,
vy = this.vy / Global.winHeight;
///feed values to the network
float[] input = new float[] { dx, dy, vy };
///procces output and play accourdingly
double prob = brain.GetOutput(input)[0];
if (prob >= 0.5)
{
jump();
}
///update bird
movmentManager();
CheckCollitions();
}
public override void update()
{
Obsticle closest = closestObst();
double dx = (float)(closest.XRight() - X()) / Global.winWidth,
dy = (float)(closest.hatchYCenter() - YCenter()) / Global.winHeight,
vy = this.vy / Global.winHeight;
///feed values to the network
Vector <double> input = Vector <double> .Build.DenseOfArray(new double[] { dx, dy, vy });
///procces output and play accourdingly
double prob = brain.feedNet(input)[0];
if (prob >= 0.5)
{
jump();
}
///update bird
movmentManager();
CheckCollitions();
}