RLPark 1.0.0
Reinforcement Learning Framework in Java
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00001 package rlpark.plugin.rltoys.problems.puddleworld; 00002 00003 public class TargetReachedL1NormTermination implements TerminationFunction { 00004 private final double[] target; 00005 private final double tolerance; 00006 00007 public TargetReachedL1NormTermination(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 distance += Math.abs(target[i] - position[i]); 00019 return distance < tolerance; 00020 } 00021 }