public RL_TDlambda()
{
InitializeComponent();
sim = new InvertedPendulumEnvironmentSimulator();
igmn1 = new IGMN(new Vector(new double[] { 1, 1, 1 }));
igmn2 = new IGMN(new Vector(new double[] { 1, 1, 1 }));
tab1 = new TabularApproximator(new int[] { 200, 200 }, new double[] { -Math.PI, -1.5*Math.PI }, new double[] { Math.PI, 1.5 * Math.PI });
tab2 = new TabularApproximator(new int[] { 200, 200 }, new double[] { -Math.PI, -1.5*Math.PI }, new double[] { Math.PI, 1.5 * Math.PI });
r = new Random();
isRunning = true;
trainingThread = new Thread(new ThreadStart(train));
trainingThread.Start();
timer1.Start();
}
public RL_TDlambda_acrobot()
{
InitializeComponent();
sim = new AcrobotEnvironmentSimulator2();
igmn1 = new IGMN(new Vector(new double[] { 1, 1, 1, 1, 1 }));
igmn2 = new IGMN(new Vector(new double[] { 1, 1, 1, 1, 1 }));
tab1 = new TabularApproximator(new int[] { 50, 50, 50, 50 }, new double[] { -Math.PI, -Math.PI, -3 * Math.PI, -3 * Math.PI }, new double[] { Math.PI, Math.PI, 3 * Math.PI, 3 * Math.PI });
tab2 = new TabularApproximator(new int[] { 50, 50, 50, 50 }, new double[] { -Math.PI, -Math.PI, -3 * Math.PI, -3 * Math.PI }, new double[] { Math.PI, Math.PI, 3 * Math.PI, 3 * Math.PI });
r = new Random();
isRunning = true;
trainingThread = new Thread(new ThreadStart(train));
trainingThread.Start();
timer1.Start();
}
