jurls.core.reinforcementlearning.RLParameters.java Source code

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Here is the source code for jurls.core.reinforcementlearning.RLParameters.java

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/*
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package jurls.core.reinforcementlearning;

import com.google.common.util.concurrent.AtomicDouble;

/**
 * 
 * @author thorsten
 */
public class RLParameters {

    /** learning rate */
    public final AtomicDouble alpha;

    /** farsight */
    public final AtomicDouble gamma;

    /**
     * lambda
     * "A value of =1.0 effectively makes algorithm run an online Monte Carlo in which the effects of all future interactions are fully considered in updating each Q-value of an episode."
     */
    public final AtomicDouble lambda;

    /** randomness */
    public final AtomicDouble epsilon;

    public RLParameters(double alpha, double gamma, double lambda, double epsilon) {
        this.alpha = new AtomicDouble(alpha);
        this.gamma = new AtomicDouble(gamma);
        this.lambda = new AtomicDouble(lambda);
        this.epsilon = new AtomicDouble(epsilon);
    }

    public double getAlpha() {
        return alpha.get();
    }

    public void setAlpha(double alpha) {
        this.alpha.set(alpha);
    }

    public double getGamma() {
        return gamma.get();
    }

    public void setGamma(double gamma) {
        this.gamma.set(gamma);
    }

    public double getLambda() {
        return lambda.get();
    }

    public void setLambda(double lambda) {
        this.lambda.set(lambda);
    }

    public double getEpsilon() {
        return epsilon.get();
    }

    public void setEpsilon(double epsilon) {
        this.epsilon.set(epsilon);
    }
}