diff --git a/src/main/java/core/algo/EpisodicLearning.java b/src/main/java/core/algo/EpisodicLearning.java
index b45ea50..b2a3675 100644
--- a/src/main/java/core/algo/EpisodicLearning.java
+++ b/src/main/java/core/algo/EpisodicLearning.java
@@ -50,7 +50,7 @@ public abstract class EpisodicLearning<A extends Enum> extends Learning<A> imple
 
     private void initBenchMarking(){
         new Thread(()->{
-            while (currentlyLearning){
+            while (true){
                 episodePerSecond = episodeSumCurrentSecond;
                 episodeSumCurrentSecond = 0;
                 try {
diff --git a/src/main/java/example/JumpingDino.java b/src/main/java/example/JumpingDino.java
index 3f71ca1..88f6c16 100644
--- a/src/main/java/example/JumpingDino.java
+++ b/src/main/java/example/JumpingDino.java
@@ -6,13 +6,14 @@ import core.controller.RLController;
 import core.controller.RLControllerGUI;
 import evironment.jumpingDino.DinoAction;
 import evironment.jumpingDino.DinoWorld;
+import evironment.jumpingDino.DinoWorldAdvanced;
 
 public class JumpingDino {
     public static void main(String[] args) {
         RNG.setSeed(55);
 
         RLController<DinoAction> rl = new RLControllerGUI<>(
-                new DinoWorld(),
+                new DinoWorldAdvanced(),
                 Method.MC_CONTROL_FIRST_VISIT,
                 DinoAction.values());
 
@@ -20,7 +21,7 @@ public class JumpingDino {
         rl.setDiscountFactor(1f);
         rl.setEpsilon(0.15f);
         rl.setLearningRate(1f);
-        rl.setNrOfEpisodes(10000);
+        rl.setNrOfEpisodes(50000);
         rl.start();
     }
 }