/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 Heaton Research, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.ml.world.learning.q; import org.encog.ml.world.Action; import org.encog.ml.world.State; import org.encog.ml.world.World; public class QLearning { private final World world; /** * The learning rate (alpha). */ private double learningRate; /** * The discount rate (gamma). */ private double discountRate; public QLearning(World theWorld, double theLearningRate, double theDiscountRate) { this.world = theWorld; this.learningRate = theLearningRate; this.discountRate = theDiscountRate; } public void learn(State s1, Action a1, State s2, Action a2 ) { double q1 = this.world.getPolicyValue(s1, a1); double q2 = this.world.getPolicyValue(s2, a2); double r = s1.getReward(); double d = q1+this.learningRate*(r+this.discountRate*q2-q1); this.world.setPolicyValue(s1, a1, d); } }