{"id":29423,"date":"2024-10-27T16:18:22","date_gmt":"2024-10-27T16:18:22","guid":{"rendered":"http:\/\/atmokpo.com\/w\/?p=29423"},"modified":"2024-11-26T06:52:41","modified_gmt":"2024-11-26T06:52:41","slug":"%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d-%eb%b0%8f-%eb%94%a5%eb%9f%ac%eb%8b%9d-%ec%95%8c%ea%b3%a0%eb%a6%ac%ec%a6%98-%ed%8a%b8%eb%a0%88%ec%9d%b4%eb%94%a9-%ed%8c%8c%ec%9d%b4%ec%8d%ac%ec%9d%84-%ec%9d%b4","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/29423\/","title":{"rendered":"\uba38\uc2e0\ub7ec\ub2dd \ubc0f \ub525\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529, \ud30c\uc774\uc36c\uc744 \uc774\uc6a9\ud55c Q-\ub7ec\ub2dd \uc5d0\uc774\uc804\ud2b8 \ud6c8\ub828\ubc95"},"content":{"rendered":"

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2023\ub144 10\uc6d4 1\uc77c<\/p>\n<\/header>\n

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\uc11c\ub860<\/h2>\n

\n \uae30\uacc4 \ud559\uc2b5\uacfc \ub525 \ub7ec\ub2dd\uc774 \uae08\uc735 \uc2dc\uc7a5\uc5d0\uc11c \ub110\ub9ac \uc0ac\uc6a9\ub418\uba74\uc11c \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc758 \uc138\uacc4\ub294 \uc810\uc810 \ub354 \ubcf5\uc7a1\ud574\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 Q-\ub7ec\ub2dd\uc774\ub77c\ub294 \uac15\ud654 \ud559\uc2b5 \uae30\ubc95\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc790\ub3d9\ud654\ub41c \uac70\ub798 \uc5d0\uc774\uc804\ud2b8\ub97c \ud6c8\ub828\uc2dc\ud0a4\ub294 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud569\ub2c8\ub2e4. \uc81c\uac00 \uc0ac\uc6a9\ud55c \uc8fc \uc5b8\uc5b4\ub294 \ud30c\uc774\uc36c\uc774\uba70, \uc774 \uacfc\uc815\uc744 \ud1b5\ud574 \ucd08\ubcf4\uae30\uc5c5\uc790\ub3c4 \ud504\ub85c\uadf8\ub7a8\uc744 \uc791\uc131\ud558\uace0 \uc790\uc2e0\uc758 \uac70\ub798 \uc804\ub7b5\uc744 \uad6c\ud604\ud560 \uc218 \uc788\ub294 \ubc29\ubc95\uc744 \uc548\ub0b4\ud558\uace0\uc790 \ud569\ub2c8\ub2e4.\n <\/p>\n<\/section>\n

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1. \uba38\uc2e0\ub7ec\ub2dd\uacfc \ub525\ub7ec\ub2dd\uc758 \uae30\ubcf8 \uac1c\ub150<\/h2>\n

\n \uba38\uc2e0\ub7ec\ub2dd\uc740 \ub370\uc774\ud130\uc5d0\uc11c \ud328\ud134\uc744 \ud559\uc2b5\ud558\uc5ec \uc608\uce21 \ub610\ub294 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \uc54c\uace0\ub9ac\uc998\uc744 \uac1c\ubc1c\ud558\ub294 \ubd84\uc57c\uc785\ub2c8\ub2e4. \ub525\ub7ec\ub2dd\uc740 \uc774\ub7ec\ud55c \uba38\uc2e0\ub7ec\ub2dd \uae30\ubc95 \uc911 \ud558\ub098\ub85c, \uc778\uacf5 \uc2e0\uacbd\ub9dd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130\uc5d0\uc11c \ub354 \ubcf5\uc7a1\ud55c \ud328\ud134\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \ub450 \uae30\ubc95 \ubaa8\ub450 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0 \uac15\ub825\ud55c \ub3c4\uad6c\ub85c \uc790\ub9ac\uc7a1\uace0 \uc788\uc73c\uba70, \uc2dc\uc7a5\uc758 \ubcc0\ub3d9\uc131\uc744 \ubd84\uc11d\ud558\uac70\ub098 \ucd5c\uc801\uc758 \uac70\ub798 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub294 \ub370 \uc0ac\uc6a9\ub429\ub2c8\ub2e4.\n <\/p>\n

1.1 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc885\ub958<\/h3>\n

\n \uba38\uc2e0\ub7ec\ub2dd\uc740 \ud06c\uac8c \uac10\ub3c5 \ud559\uc2b5, \ube44\uac10\ub3c5 \ud559\uc2b5, \uac15\ud654 \ud559\uc2b5\uc73c\ub85c \ub098\ub20c \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uac10\ub3c5 \ud559\uc2b5\uc740 \uc785\ub825 \ub370\uc774\ud130\uc640 \ud574\ub2f9\ud558\ub294 \ucd9c\ub825 \uacb0\uacfc\uac00 \uc8fc\uc5b4\uc84c\uc744 \ub54c \ubaa8\ub378\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \ube44\uac10\ub3c5 \ud559\uc2b5\uc740 \uc785\ub825 \ub370\uc774\ud130\ub9cc \uc8fc\uc5b4\uc84c\uc744 \ub54c \ub370\uc774\ud130\uc758 \uad6c\uc870\ub97c \ud559\uc2b5\ud558\uba70, \uac15\ud654 \ud559\uc2b5\uc740 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba70 \ucd5c\uc801\uc758 \ud589\ub3d9\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\uc2dd\uc785\ub2c8\ub2e4.\n <\/p>\n

2. Q-\ub7ec\ub2dd\uc758 \uc774\ud574<\/h2>\n

\n Q-Learning\uc740 \uac15\ud654 \ud559\uc2b5\uc758 \ud55c \ud615\ud0dc\ub85c, \uc5d0\uc774\uc804\ud2b8\uac00 \ud2b9\uc815 \uc0c1\ud0dc\uc5d0\uc11c \ucde8\ud560 \ud589\ub3d9\uc758 \ud488\uc9c8\uc744 \ub098\ud0c0\ub0b4\ub294 Q-\uac12\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774 \uacfc\uc815\uc5d0\uc11c \uc5d0\uc774\uc804\ud2b8\ub294 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba70, \ucd5c\uc801\uc758 \uc815\ucc45\uc744 \ucc3e\uc544\uac00\ub294 \uacfc\uc815\uc5d0\uc11c \ubcf4\uc0c1\uc744 \uadf9\ub300\ud654\ud558\ub824\uace0 \ub178\ub825\ud569\ub2c8\ub2e4. Q-Learning\uc758 \ud575\uc2ec\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc218\uc2dd\uc73c\ub85c \uc694\uc57d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n <\/p>\n

\"Q-learning<\/p>\n

\n \uc5ec\uae30\uc11c \\( Q(s, a) \\)\ub294 \uc0c1\ud0dc \\( s \\)\uc5d0\uc11c \ud589\ub3d9 \\( a \\)\ub97c \uc120\ud0dd\ud588\uc744 \ub54c \uae30\ub300\ub418\ub294 \ubcf4\uc0c1\uc785\ub2c8\ub2e4. \\( r \\)\uc740 \uc989\uac01\uc801\uc778 \ubcf4\uc0c1, \\( \\gamma \\)\ub294 \ubbf8\ub798 \ubcf4\uc0c1\uc758 \ud560\uc778\uc728, \\( \\alpha \\)\ub294 \ud559\uc2b5\ub960\uc785\ub2c8\ub2e4. Q-Learning\uc740 \uc774 \uac12\uc744 \ubc18\ubcf5\uc801\uc73c\ub85c \uc5c5\ub370\uc774\ud2b8\ud568\uc73c\ub85c\uc368 \ucd5c\uc801\uc758 Q-\uac12\uc744 \ucc3e\uc544\uac11\ub2c8\ub2e4.\n <\/p>\n

2.1 Q-\ub7ec\ub2dd\uc758 \ub2e8\uacc4<\/h3>\n
    \n
  1. \ucd08\uae30 \uc0c1\ud0dc \uc124\uc815<\/li>\n
  2. \uac00\ub2a5\ud55c \ud589\ub3d9 \uc911 \ud558\ub098 \uc120\ud0dd (\ud0d0\uc0ac \ud639\uc740 \ud65c\uc6a9)<\/li>\n
  3. \ud589\ub3d9 \uacb0\uacfc\ub97c \ud1b5\ud574 \ub2e4\uc74c \uc0c1\ud0dc \ubc0f \ubcf4\uc0c1 \ud68d\ub4dd<\/li>\n
  4. Q-\uac12 \uc5c5\ub370\uc774\ud2b8<\/li>\n
  5. \uc885\ub8cc \uc870\uac74 \ud655\uc778<\/li>\n<\/ol>\n<\/section>\n
    \n

    3. \ud30c\uc774\uc36c \ud658\uacbd \uc124\uc815<\/h2>\n

    \n \uc774\uc81c Q-\ub7ec\ub2dd\uc744 \uad6c\ud604\ud558\uae30 \uc704\ud574 \ud544\uc694\ud55c \ud30c\uc774\uc36c \ud658\uacbd\uc744 \uc124\uc815\ud558\uaca0\uc2b5\ub2c8\ub2e4. \uba3c\uc800 \uc544\ub798 \ud328\ud0a4\uc9c0\ub4e4\uc744 \uc124\uce58\ud574\uc57c \ud569\ub2c8\ub2e4.\n <\/p>\n

    \n                pip install numpy pandas matplotlib gym<\/code>\n            <\/pre>\n
    \nnumpy<\/strong>: \ubc30\uc5f4 \uacc4\uc0b0\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac
    \npandas<\/strong>: \ub370\uc774\ud130 \ucc98\ub9ac \ubc0f \ubd84\uc11d\uc744 \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac
    \nmatplotlib<\/strong>: \ub370\uc774\ud130 \uc2dc\uac01\ud654\ub97c \uc704\ud55c \ub77c\uc774\ube0c\ub7ec\ub9ac
    \ngym<\/strong>: \ub2e4\uc591\ud55c \uac15\ud654 \ud559\uc2b5 \ud658\uacbd\uc744 \uc81c\uacf5\ud558\ub294 \ub77c\uc774\ube0c\ub7ec\ub9ac\uc785\ub2c8\ub2e4.\n            <\/p>\n<\/section>\n
    \n
    4. Q-\ub7ec\ub2dd \uc5d0\uc774\uc804\ud2b8 \uad6c\ud604<\/h2>\n
    \n                \uc544\ub798\uc5d0\ub294 \uac04\ub2e8\ud55c Q-\ub7ec\ub2dd \uc5d0\uc774\uc804\ud2b8\ub97c \uad6c\ud604\ud558\ub294 \ucf54\ub4dc\uac00 \ud3ec\ud568\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uc774 \ucf54\ub4dc\ub294 \uc8fc\uc2dd \uac00\uaca9 \ub370\uc774\ud130\ub97c \uae30\ubc18\uc73c\ub85c \uc5d0\uc774\uc804\ud2b8\ub97c \ud6c8\ub828\uc2dc\ud0b5\ub2c8\ub2e4.\n            <\/p>\n
    \n                \nimport numpy as np\nimport pandas as pd\nimport random\nimport matplotlib.pyplot as plt\n\n# \ud658\uacbd \ucd08\uae30\ud654\nclass TradingEnvironment:\n    def __init__(self, data):\n        self.data = data\n        self.n = len(data)\n        self.current_step = 0\n        self.action_space = [0, 1]  # 0: \ubcf4\uc720, 1: \ub9e4\uc218\n        \n    def reset(self):\n        self.current_step = 0\n        return self.data[self.current_step]\n    \n    def step(self, action):\n        self.current_step += 1\n        reward = 0\n        if action == 1:  # \ub9e4\uc218\n            reward = self.data[self.current_step] - self.data[self.current_step - 1]\n        return self.data[self.current_step], reward, self.current_step >= self.n - 1\n\n# Q-\ub7ec\ub2dd \uc54c\uace0\ub9ac\uc998 \uad6c\ud604\nclass QLearningAgent:\n    def __init__(self, actions):\n        self.actions = actions\n        self.q_table = pd.DataFrame(columns=actions)\n\n    def choose_action(self, state):\n        if state not in self.q_table.index:\n            self.q_table = self.q_table.append(\n                pd.Series([0]*len(self.actions), index=self.q_table.columns, name=state)\n            )\n        if random.uniform(0, 1) < epsilon:\n            return random.choice(self.actions)  # \ud0d0\uc0ac\n        else:\n            return self.q_table.loc[state].idxmax()  # \ud65c\uc6a9\n    \n    def learn(self, state, action, reward, next_state):\n        current_q = self.q_table.loc[state, action]\n        max_future_q = self.q_table.loc[next_state].max()\n        new_q = current_q + alpha * (reward + gamma * max_future_q - current_q)\n        self.q_table.loc[state, action] = new_q\n\n# \ud30c\ub77c\ubbf8\ud130 \uc124\uc815\nepsilon = 0.1\nalpha = 0.1\ngamma = 0.9\nepisodes = 1000\n\n# \ub370\uc774\ud130 \ub85c\ub4dc \ubc0f \ud658\uacbd \uc124\uc815\ndata = pd.Series([100, 102, 101, 103, 105, 104, 107, 108, 109, 110])  # \uc608\uc2dc \ub370\uc774\ud130\nenv = TradingEnvironment(data)\nagent = QLearningAgent(actions=[0, 1])\n\n# \uc5d0\uc774\uc804\ud2b8 \ud6c8\ub828\nfor episode in range(episodes):\n    state = env.reset()\n    done = False\n    while not done:\n        action = agent.choose_action(state)\n        next_state, reward, done = env.step(action)\n        agent.learn(state, action, reward, next_state)\n        state = next_state\n\n# \uacb0\uacfc \uc2dc\uac01\ud654\nplt.plot(agent.q_table)\nplt.title(\"Q-Table Learning Over Episodes\")\nplt.xlabel(\"State\")\nplt.ylabel(\"Q values\")\nplt.show()\n                <\/code>\n            <\/pre>\n
    \uc704 \ucf54\ub4dc\ub294 \uac04\ub2e8\ud55c Q-\ub7ec\ub2dd \uc5d0\uc774\uc804\ud2b8\ub97c \uad6c\ud604\ud558\uc5ec \uc8fc\uc5b4\uc9c4 \uc8fc\uc2dd \uac00\uaca9\uc5d0 \ub530\ub77c \ub9e4\uc218 \ub610\ub294 \ubcf4\uc720 \uacb0\uc815\uc744 \ub0b4\ub9ac\ub3c4\ub85d \ud6c8\ub828\ud569\ub2c8\ub2e4.<\/p>\n<\/section>\n
    \n
    5. \uacb0\ub860<\/h2>\n
    \n                \uac15\ud654 \ud559\uc2b5, \ud2b9\ud788 Q-\ub7ec\ub2dd\uc740 \uc54c\uace0\ub9ac\uc998 \ud2b8\ub808\uc774\ub529\uc5d0\uc11c \uc720\uc6a9\ud55c \ub3c4\uad6c\uac00 \ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc2e4\uc81c \uae08\uc735 \ub370\uc774\ud130\ub97c \ud1b5\ud574 \uc790\uc2e0\ub9cc\uc758 \uc804\ub7b5\uc744 \uc138\uc6b0\uace0, \uc774\ub97c \ud504\ub85c\uadf8\ub798\ubc0d\ud558\uc5ec \uc2dc\ud589\ud568\uc73c\ub85c\uc368 \ub354\uc6b1 \ud6a8\uacfc\uc801\uc778 \uac70\ub798\ub97c \uacbd\ud5d8\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. Q-\ub7ec\ub2dd\uc758 \uc7a5\uc810\uc740 \uc720\uc5f0\uc131\uacfc \uc801\uc751 \ub2a5\ub825\uc774\uba70, \ub2e4\uc591\ud55c \uc2dc\uc7a5 \ud658\uacbd\uc5d0\uc11c \ud6a8\uacfc\uc801\uc73c\ub85c \uc791\ub3d9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.\n            <\/p>\n<\/section>\n