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TD-FALCON is a fusion architecture that incorporates temporal difference methods and self-organizing neural networks for reinforcement learning with delayed rewards. It learns by creating cognitive codes across sensory input, actions, and rewards.

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package com.github.cschen1205.navigator.utils;

import java.awt.*;

/**
 * Created by cschen1205 on 10/2/2015 0002.
 */
public class MazePalette
{
    public static final int AV_Color_Num = 8;
    public static final Color[] AV_Color = { Color.black, Color.blue, Color.magenta, Color.green, Color.yellow, Color.cyan, Color.pink, Color.white };
    public static int AV_Color_Index = 0;
}