以下是一个基于Q-learning的动态频率决策模型的示例,去掉了一些具体的隐私内容:
import numpy as np
import random
from collections import deque
import gym
from gym import spacesclass FrequencyDecisionEnv(gym.Env):"""自定义强化学习环境:动态更新…
import java.util.Random;
import java.util.Scanner;public class GuessNumberGame {// 游戏配置参数private static final int MIN_NUMBER 1;private static final int MAX_NUMBER 100;private static final Scanner scanner new Scanner(System.in);private static final…