RLPark 1.0.0
Reinforcement Learning Framework in Java

RandomNetworkProjector.java

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00001 package rlpark.plugin.rltoys.algorithms.representations.ltu.networks;
00002 
00003 import rlpark.plugin.rltoys.algorithms.functions.states.Projector;
00004 import rlpark.plugin.rltoys.math.vector.BinaryVector;
00005 import rlpark.plugin.rltoys.math.vector.RealVector;
00006 import rlpark.plugin.rltoys.math.vector.implementations.BVector;
00007 
00008 public class RandomNetworkProjector implements Projector {
00009   private static final long serialVersionUID = 520975442867936390L;
00010   private final RandomNetwork randomNetwork;
00011 
00012   public RandomNetworkProjector(RandomNetwork randomNetwork) {
00013     this.randomNetwork = randomNetwork;
00014   }
00015 
00016   @Override
00017   public RealVector project(double[] obs) {
00018     BinaryVector bobs = obs != null ? BVector.toBinary(obs) : null;
00019     return randomNetwork.project(bobs);
00020   }
00021 
00022   @Override
00023   public int vectorSize() {
00024     return randomNetwork.outputSize;
00025   }
00026 
00027   @Override
00028   public double vectorNorm() {
00029     return randomNetwork.nbActive;
00030   }
00031 }
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