add dino jumping environment, deterministic/reproducable behaviour and save-and-load feature

- add feature to save and load learning progress (Q-Table) and current episode count
- episode end is now purely decided by environment instead of monte carlo algo capping it on 10 actions
- using linkedHashMap on all locations to ensure deterministic behaviour
- fixed major RNG issue to reproduce algorithmic behaviour
- clearing rewardHistory, to only save the last 10k rewards
- added google dino jump environment

src/main/java/core/policy/EpsilonGreedyPolicy.java

@@ -29,7 +29,8 @@ public class EpsilonGreedyPolicy<A extends Enum> implements EpsilonPolicy<A>{
 
     @Override
     public A chooseAction(Map<A, Double> actionValues) {
-        if(RNG.getRandom().nextFloat() < epsilon){
+        float f = RNG.getRandom().nextFloat();
+        if(f < epsilon){
             // Take random action
             return randomPolicy.chooseAction(actionValues);
         }else{

src/main/java/core/policy/GreedyPolicy.java

@@ -1,9 +1,10 @@
 package core.policy;
 
+import core.RNG;
+
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Map;
-import java.util.Random;
 
 public class GreedyPolicy<A extends Enum> implements Policy<A> {
 
@@ -26,6 +27,6 @@ public class GreedyPolicy<A extends Enum> implements Policy<A> {
             }
         }
 
-        return equalHigh.get(new Random().nextInt(equalHigh.size()));
+        return equalHigh.get(RNG.getRandom().nextInt(equalHigh.size()));
     }
 }

src/main/java/core/policy/RandomPolicy.java

@@ -1,18 +1,17 @@
 package core.policy;
 
 import core.RNG;
+
 import java.util.Map;
 
 public class RandomPolicy<A extends Enum> implements Policy<A>{
     @Override
     public A chooseAction(Map<A, Double> actionValues) {
         int idx = RNG.getRandom().nextInt(actionValues.size());
-        System.out.println("selected action " + idx);
         int i = 0;
         for(A action : actionValues.keySet()){
-            if(i++ == idx) return action;
+            if(i++ == idx)  return action;
         }
-
         return null;
     }
 }