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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;

/**
 * Created by cschen1205 on 10/1/2015 0001.
 */
public enum VehicleState {
    Active,
    HitTarget,
    HitMine,
    Conflicting
}