Diminishing learning parameter

src/Learn.java

@@ -19,21 +19,33 @@ public class Learn{
     // for learning rate, first 30 with .1, next 30 with .05, then final 30 with .01 and see what happens
 
     public static void learn(CheckersAI alpha, CheckersAI beta, LearningEvaluator le, BaseEvaluator be){
-        final int num_games = 5;
-        final int iterations = 20;
+        final int num_games = 30;
+        final int iterations = 7;
 
         Random rand = new Random();
         for(int j = 0; j < iterations; j++){
             for(int i = 1; i <= num_games; i++){ // play num_games amount of games
                 System.out.println("playing game " + i);
                 int player = rand.nextInt(2) + 1; // choose which player alpha plays as
                 play(alpha, beta, le, player, true); // alpha and beta play a game
-                le.updateWeights(.1); // get new weights using data from game
+                le.updateWeights(learningParameter(i, num_games)); // get new weights using data from game
+                //le.updateWeights(.1); // get new weights using data from game
             }
             faceBeta(alpha, beta, le, be);
         }
     }
 
+    public static double learningParameter(int played, int games){
+        if(played <= .80 * games){
+            return .10;
+        }
+        else{
+            double remaining = games - .80 * games;
+            double divisor = remaining - (games - played);
+            return .10/(divisor);
+        }
+    }
+
     public static void faceBeta(CheckersAI alpha, CheckersAI beta, LearningEvaluator le, BaseEvaluator be){
         boolean w1;
         boolean w2;

src/LearningEvaluator.java

@@ -45,7 +45,7 @@ public class LearningEvaluator extends BaseEvaluator{
         try {
             double[] new_weights = reg.estimateRegressionParameters(); //get parameters
             for(double x: new_weights){
-                if(Math.abs(x) > 10000){
+                if(Math.abs(x) > 100000){
                     System.out.println("bad data, not updating");
                     return;
                 }