add opening dialog to select all learning settings

src/main/java/core/controller/OpeningDialog.java

@@ -0,0 +1,114 @@
+package core.controller;
+
+import core.algo.Method;
+import evironment.antGame.AntAction;
+import evironment.antGame.AntWorldContinuous;
+import evironment.antGame.Constants;
+import evironment.blackjack.BlackJackTable;
+import evironment.blackjack.PlayerAction;
+import evironment.jumpingDino.DinoAction;
+import evironment.jumpingDino.DinoWorld;
+import evironment.jumpingDino.DinoWorldAdvanced;
+
+import javax.swing.*;
+import java.text.NumberFormat;
+
+public class OpeningDialog {
+
+    // JSlider is integer value only. Instead of creating a subclass
+    // the JSlider value is simply divided by this scale factor.
+    // 100 does mean 0 to 1 in 0.01 steps.
+    private int scaleFactor = 100;
+
+    public OpeningDialog() {
+        createStartingDialog();
+    }
+
+    private void setLabelText(JSlider slider, JLabel label, boolean scaledValue, String parameterName) {
+        if(scaledValue) {
+            label.setText(parameterName + ": " + (float) slider.getValue() / scaleFactor);
+        } else {
+            label.setText(parameterName + ": " + slider.getValue());
+        }
+
+    }
+
+    private void linkSliderWithLabel(JSlider slider, JLabel label, boolean scaledValue, String parameterName) {
+        setLabelText(slider, label, scaledValue, parameterName);
+
+        slider.addChangeListener(changeEvent -> setLabelText(slider, label, scaledValue, parameterName));
+    }
+
+    private void createStartingDialog() {
+        JComboBox<Scenario> scenarioSelection = new JComboBox<>(Scenario.values());
+        JComboBox<Method> algorithmSelection = new JComboBox<>(Method.values());
+
+        JSlider delaySlider = new JSlider(1, 1000, 200);
+        JLabel delayLabel = new JLabel();
+        linkSliderWithLabel(delaySlider, delayLabel, false, "Delay");
+
+        JSlider discountSlider = new JSlider(0, 100, 100);
+        JLabel discountLabel = new JLabel();
+        linkSliderWithLabel(discountSlider, discountLabel, true, "Discount Factor (gamma)");
+
+        JSlider epsilonSlider = new JSlider(0, 100, 15);
+        JLabel epsilonLabel = new JLabel();
+        linkSliderWithLabel(epsilonSlider, epsilonLabel, true, "Exploration Factor (epsilon)");
+
+        JSlider learningRateSlider = new JSlider(0, 100, 90);
+        JLabel learningRateLabel = new JLabel();
+        linkSliderWithLabel(learningRateSlider, learningRateLabel, true, "Learning rate (alpha)");
+
+        JTextField episodesToLearn = new JFormattedTextField(NumberFormat.getIntegerInstance());
+        episodesToLearn.setText("10000");
+
+        JTextField seedTextField = new JFormattedTextField(NumberFormat.getIntegerInstance());
+        seedTextField.setText("29");
+
+
+        Object[] parameters = {
+                "Environment:", scenarioSelection,
+                "Algorithm:", algorithmSelection,
+                discountLabel, discountSlider,
+                epsilonLabel, epsilonSlider,
+                learningRateLabel, learningRateSlider,
+                delayLabel, delaySlider,
+                "Episodes to learn:", episodesToLearn,
+                "RNG Seed: ", seedTextField,
+        };
+
+        int option = JOptionPane.showConfirmDialog(null, parameters, "Learning parameters", JOptionPane.OK_CANCEL_OPTION);
+        if(option == JOptionPane.OK_OPTION) {
+            Scenario selectedScenario = (Scenario) scenarioSelection.getSelectedItem();
+
+            RLControllerGUI rl;
+            if(selectedScenario == Scenario.JUMPING_DINO_SIMPLE) {
+                rl = new RLControllerGUI<DinoAction>(new DinoWorld(), (Method) algorithmSelection.getSelectedItem(), DinoAction.values());
+            } else if(selectedScenario == Scenario.JUMPING_DINO_ADVANCED) {
+                rl = new RLControllerGUI<DinoAction>(new DinoWorldAdvanced(), (Method) algorithmSelection.getSelectedItem(), DinoAction.values());
+            } else if(selectedScenario == Scenario.ANTGAME) {
+                rl = new RLControllerGUI<AntAction>(new AntWorldContinuous(Constants.DEFAULT_GRID_WIDTH, Constants.DEFAULT_GRID_HEIGHT), (Method) algorithmSelection.getSelectedItem(), AntAction.values());
+            } else if(selectedScenario == Scenario.BLACKJACK) {
+                rl = new RLControllerGUI<PlayerAction>(new BlackJackTable(), (Method) algorithmSelection.getSelectedItem(), PlayerAction.values());
+            } else {
+                throw new IllegalArgumentException("Invalid learning scenario selected");
+            }
+            rl.setDelay(delaySlider.getValue());
+            rl.setDiscountFactor((float) discountSlider.getValue() / scaleFactor);
+            rl.setEpsilon((float) epsilonSlider.getValue() / scaleFactor);
+            rl.setLearningRate((float) learningRateSlider.getValue() / scaleFactor);
+            rl.setNrOfEpisodes(Integer.parseInt(episodesToLearn.getText()));
+            rl.start();
+        } else {
+            System.out.println("Parameter dialog canceled");
+        }
+    }
+
+    private enum Scenario {
+        JUMPING_DINO_SIMPLE,
+        JUMPING_DINO_ADVANCED,
+        ANTGAME,
+        BLACKJACK
+    }
+
+}

src/main/java/core/controller/RLControllerGUI.java

@@ -18,6 +18,7 @@ public class RLControllerGUI<A extends Enum> extends RLController<A> implements
         super(env, method, actions);
     }
 
+
     @Override
     protected void initListeners() {
         SwingUtilities.invokeLater(() -> {