RLPark 1.0.0
Reinforcement Learning Framework in Java

TargetReachedL2NormTermination.java

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00001 package rlpark.plugin.rltoys.problems.puddleworld;
00002 
00003 public class TargetReachedL2NormTermination implements TerminationFunction {
00004   private final double[] target;
00005   private final double tolerance;
00006 
00007   public TargetReachedL2NormTermination(double[] target, double tolerance) {
00008     assert tolerance > 0;
00009     this.target = target;
00010     this.tolerance = tolerance;
00011   }
00012 
00013   @Override
00014   public boolean isTerminated(double[] position) {
00015     double distance = 0.0;
00016     assert position.length == target.length;
00017     for (int i = 0; i < position.length; i++) {
00018       double diff = target[i] - position[i];
00019       distance += diff * diff;
00020     }
00021     distance = Math.sqrt(distance);
00022     return distance < tolerance;
00023   }
00024 }
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