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/RNG.java

@@ -1,12 +1,14 @@
 package core;
 
+import java.security.SecureRandom;
 import java.util.Random;
 
 public class RNG {
-    private static Random rng;
+    private static SecureRandom rng;
     private static int seed = 123;
     static {
-        rng = new Random(seed);
+        rng = new SecureRandom();
+        rng.setSeed(seed);
     }
 
     public static Random getRandom() {