{"id":40448,"date":"2024-11-04T01:51:49","date_gmt":"2024-11-04T01:51:49","guid":{"rendered":"https:\/\/atmokpo.com\/w\/?p=40448"},"modified":"2024-11-26T06:39:09","modified_gmt":"2024-11-26T06:39:09","slug":"43-rl-%ec%97%90%ec%9d%b4%ec%a0%84%ed%8a%b8-%ed%8f%89%ea%b0%80-%eb%b0%8f-%eb%94%94%eb%b2%84%ea%b9%85-%eb%b0%a9%eb%b2%95-%ec%97%90%ec%9d%b4%ec%a0%84%ed%8a%b8-%ec%84%b1%eb%8a%a5-%ed%8f%89%ea%b0%80","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/40448\/","title":{"rendered":"43. RL \uc5d0\uc774\uc804\ud2b8 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95, \uc5d0\uc774\uc804\ud2b8 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c"},"content":{"rendered":"<p><body><\/p>\n<p>\uac15\ud654\ud559\uc2b5( Reinforcement Learning, RL) \ubd84\uc57c\uc5d0\uc11c\ub294 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638 \uc791\uc6a9\ud558\uba70 \ucd5c\uc801\uc758 \ud589\ub3d9 \uc815\ucc45\uc744 \ud559\uc2b5\ud558\ub294 \uac83\uc774 \ud575\uc2ec\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774 \uacfc\uc815\uc5d0\uc11c \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \ub514\ubc84\uae45\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \ub3c4\uc804\uc801\uc778 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 RL \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c\uc640 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \uc5d0\uc774\uc804\ud2b8\ub97c \uac1c\ubc1c\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uace0\uc790 \ud569\ub2c8\ub2e4.<\/p>\n<h2>1. RL \uc5d0\uc774\uc804\ud2b8 \uc131\ub2a5 \ud3c9\uac00\uc758 \uc911\uc694\uc131<\/h2>\n<p>\uac15\ud654\ud559\uc2b5 \ubaa8\ub378\uc774 \uc81c\ub300\ub85c \uc791\ub3d9\ud558\ub294\uc9c0 \ud655\uc778\ud558\uae30 \uc704\ud574, \ubaa8\ub378\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\ub294 \uac83\uc740 \ud544\uc218\uc801\uc785\ub2c8\ub2e4. \ud3c9\uac00 \uacfc\uc815\uc740 RL \uc54c\uace0\ub9ac\uc998\uc758 \uac1c\uc120\uacfc \ucd5c\uc801\ud654 \uc804\ub7b5\uc744 \uc218\ub9bd\ud558\ub294 \ub370 \uc911\uc694\ud55c \uc815\ubcf4\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4. \ub610\ud55c, \uc5d0\uc774\uc804\ud2b8\uc758 \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c \uacfc\uc801\ud569\uc744 \ud53c\ud558\uac70\ub098 \uc801\uc808\ud55c \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub97c \ucc3e\uc544\ub0b4\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4.<\/p>\n<h2>2. \uc77c\ubc18\uc801\uc778 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c<\/h2>\n<p>\uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c\ub294 \uc5d0\uc774\uc804\ud2b8\uc758 \ud559\uc2b5 \uacb0\uacfc\ub97c \uc815\ub7c9\uc801\uc73c\ub85c \ud310\ub2e8\ud558\ub294 \ub370 \ub3c4\uc6c0\uc744 \uc90d\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \uc77c\ubc18\uc801\uc73c\ub85c \uc0ac\uc6a9\ub418\ub294 \ud3c9\uac00 \uc9c0\ud45c\uc785\ub2c8\ub2e4:<\/p>\n<ul>\n<li><strong>\ubcf4\uc0c1(Retern)<\/strong>: \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uc5d0\uc11c \uc5bb\ub294 \ucd1d \ubcf4\uc0c1\uc73c\ub85c, \uc774\ub294 \uc5d0\uc774\uc804\ud2b8\uac00 \uc88b\uc740 \uc815\ucc45\uc744 \ud559\uc2b5\ud558\uace0 \uc788\ub294\uc9c0\ub97c \uce21\uc815\ud558\ub294 \ub370 \uae30\ucd08\uac00 \ub429\ub2c8\ub2e4.<\/li>\n<li><strong>\uc5d0\ud53c\uc18c\ub4dc \uae38\uc774(Episode Length)<\/strong>: \ub2e8\uc77c \uc5d0\ud53c\uc18c\ub4dc\uc5d0\uc11c \uc5d0\uc774\uc804\ud2b8\uac00 \uc218\ud589\ud55c \ud589\ub3d9\uc758 \uc218. \uae38\uc774\uac00 \uc9e7\uc744\uc218\ub85d \uc5d0\uc774\uc804\ud2b8\uac00 \ubcf4\ub2e4 \ud6a8\uc728\uc801\uc778 \uc815\ucc45\uc744 \uac00\uc9c0\uace0 \uc788\uc744 \uac00\ub2a5\uc131\uc774 \ub192\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc815\ucc45\uc758 \uc548\uc815\uc131(Policy Stability)<\/strong>: \uc5d0\uc774\uc804\ud2b8\uac00 \uc218\ud589\ud55c \ud589\ub3d9\uc774 \ud658\uacbd\uc5d0 \ub530\ub77c \uc5bc\ub9c8\ub098 \uc77c\uad00\ub418\uac8c \uc720\uc9c0\ub418\ub294\uc9c0\ub97c \uce21\uc815\ud558\ub294 \uc9c0\ud45c\uc785\ub2c8\ub2e4.<\/li>\n<li><strong>\ud3c9\uade0 \ubcf4\uc0c1(Average Reward)<\/strong>: \uc5ec\ub7ec \uc5d0\ud53c\uc18c\ub4dc\uc758 \ud3c9\uade0 \ubcf4\uc0c1\uc73c\ub85c, \uc5d0\uc774\uc804\ud2b8\uc758 \uc804\ubc18\uc801\uc778 \uc131\ub2a5\uc744 \ubc18\uc601\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud2b8\ub808\uc774\ub2dd \uc190\uc2e4(Training Loss)<\/strong>: \uc5d0\uc774\uc804\ud2b8\uc758 \ud559\uc2b5 \uacfc\uc815\uc5d0\uc11c \uc190\uc2e4 \ud568\uc218\uc758 \uac12\uc744 \ucd94\uc801\ud568\uc73c\ub85c\uc368, \ud559\uc2b5\uc774 \uc798 \uc9c4\ud589\ub418\uace0 \uc788\ub294\uc9c0\ub97c \ubd84\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>3. \uac15\ud654\ud559\uc2b5 \uc5d0\uc774\uc804\ud2b8 \ud3c9\uac00 \ubc29\ubc95<\/h2>\n<p>RL \uc5d0\uc774\uc804\ud2b8\ub97c \ud3c9\uac00\ud558\ub294 \ubc29\ubc95\uc740 \uc5ec\ub7ec \uac00\uc9c0\uac00 \uc788\uc73c\uba70, \ub2e4\uc74c\uacfc \uac19\uc740 \ub2e8\uacc4\ub85c \uc9c4\ud589\ub429\ub2c8\ub2e4:<\/p>\n<h3>3.1. \uc5d0\ud53c\uc18c\ub4dc \uc218\uc9d1<\/h3>\n<p>\uc5d0\uc774\uc804\ud2b8\uac00 \ud559\uc2b5\ud55c \uc815\ucc45\uc744 \ubc14\ud0d5\uc73c\ub85c \uc5ec\ub7ec \uc5d0\ud53c\uc18c\ub4dc\ub97c \uc2e4\ud589\ud558\uc5ec \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4. \uc774\ub54c, \uac01\uac01\uc758 \uc5d0\ud53c\uc18c\ub4dc\ub294 \uc0c1\ud0dc-\ud589\ub3d9-\ubcf4\uc0c1-\ub2e4\uc74c \uc0c1\ud0dc\uc758 \uc30d\uc73c\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4.<\/p>\n<h3>3.2. \uc131\ub2a5 \uc9c0\ud45c \uacc4\uc0b0<\/h3>\n<p>\uc218\uc9d1\ud55c \uc5d0\ud53c\uc18c\ub4dc\uc5d0\uc11c \uc815\uc758\ud55c \uc131\ub2a5 \uc9c0\ud45c\ub97c \uacc4\uc0b0\ud558\uc5ec \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud569\ub2c8\ub2e4. \uc608\ub97c \ub4e4\uc5b4, \ud3c9\uade0 \ubcf4\uc0c1, \uc5d0\ud53c\uc18c\ub4dc \uae38\uc774, \ubcf4\uc0c1\uc758 \ubd84\ud3ec\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>3.3. \uc2dc\uac01\ud654 \ubc0f \ubd84\uc11d<\/h3>\n<p>\uc131\ub2a5 \uc9c0\ud45c\ub97c \uc2dc\uac01\ud654\ud558\uc5ec \ud559\uc2b5\uc758 \uacbd\uacfc\uc640 \ubc29\uc2dd\uc744 \uc774\ud574\ud569\ub2c8\ub2e4. \uadf8\ub798\ud504\ub97c \ud1b5\ud574 \uc5d0\uc774\uc804\ud2b8\uc758 \ud559\uc2b5\uc774 \uc798 \uc774\ub8e8\uc5b4\uc9c0\uace0 \uc788\ub294\uc9c0\ub97c \ube60\ub974\uac8c \ud30c\uc545\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>4. RL \uc5d0\uc774\uc804\ud2b8 \ub514\ubc84\uae45<\/h2>\n<p>\uac15\ud654\ud559\uc2b5 \uc5d0\uc774\uc804\ud2b8\uc758 \ub514\ubc84\uae45\uc740 \ud2b9\ud788 \uc911\uc694\ud569\ub2c8\ub2e4. \ub2e4\uc74c\uc740 \ud6a8\uacfc\uc801\uc778 \ub514\ubc84\uae45 \ubc29\ubc95\ub4e4\uc785\ub2c8\ub2e4:<\/p>\n<h3>4.1. \ub85c\uadf8 \ubd84\uc11d<\/h3>\n<p>\uc5d0\uc774\uc804\ud2b8\uc758 \ud589\ub3d9\uacfc \ubcf4\uc0c1\uc744 \uae30\ub85d\ud558\ub294 \ub85c\uadf8\ub97c \uc720\uc9c0\ud558\uace0 \ubd84\uc11d\ud558\uc5ec, \uc5b4\ub5a4 \ud589\ub3d9\uc774 \uc88b\uc558\uace0 \ub098\ube74\ub294\uc9c0\ub97c \ud310\ub2e8\ud569\ub2c8\ub2e4. \ub85c\uadf8 \ub370\uc774\ud130\ub97c \ubd84\uc11d\ud558\uba74 \uc5d0\uc774\uc804\ud2b8\uc758 \uc798\ubabb\ub41c \uc120\ud0dd\uc774\ub098 \uc815\ucc45\uc758 \ubb38\uc81c\uc810\uc744 \ubc1c\uacac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.2. \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc870\uc815<\/h3>\n<p>\ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130\ub294 \ud559\uc2b5\ub960, \ud560\uc778 \uc778\uc790, \ub124\ud2b8\uc6cc\ud06c \ud06c\uae30\uc640 \uac19\uc740 \uc694\uc18c\ub4e4\ub85c \uad6c\uc131\ub429\ub2c8\ub2e4. \uc774\ub7ec\ud55c \ud30c\ub77c\ubbf8\ud130\ub97c \uc870\uc815\ud568\uc73c\ub85c\uc368 \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5\uc744 \ud5a5\uc0c1\uc2dc\ud0ac \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h3>4.3. \ubaa8\ub378 \ud3c9\uac00<\/h3>\n<p>\ubaa8\ub378\uc774 \uacfc\uc801\ud569\uc5d0 \ube60\uc9c0\uc9c0 \uc54a\uc558\ub294\uc9c0 \ud655\uc778\ud558\uace0, \ud6c8\ub828 \ub370\uc774\ud130\uc640 \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130\ub97c \ubd84\ub9ac\ud558\uc5ec \uc774\ub97c \ud3c9\uac00\ud569\ub2c8\ub2e4. \uad50\ucc28 \uac80\uc99d\uc744 \uc218\ud589\ud558\ub294 \uac83\ub3c4 \uc88b\uc740 \ubc29\ubc95\uc785\ub2c8\ub2e4.<\/p>\n<h3>4.4. \ub2e4\uc591\ud55c \ud658\uacbd \ud14c\uc2a4\ud2b8<\/h3>\n<p>\uc5d0\uc774\uc804\ud2b8\ub97c \ub2e4\uc591\ud55c \ud658\uacbd\uc5d0 \ubc30\uce58\ud558\uc5ec \uadf8 \uc131\ub2a5\uc744 \uc2dc\ud5d8\ud574 \ubc14\ub85c\uc7a1\uc744 \ud544\uc694\uac00 \uc788\uc2b5\ub2c8\ub2e4. \uc774\ub54c \uc5d0\uc774\uc804\ud2b8\uac00 \ub2e4\ub978 \uc0c1\ud669\uc5d0\uc11c\ub3c4 \uc798 \uc791\ub3d9\ud558\ub294\uc9c0 \ud655\uc778\ud558\ub294 \uac83\uc774 \uc911\uc694\ud569\ub2c8\ub2e4.<\/p>\n<h2>5. \uc608\uc81c \ucf54\ub4dc: RL \uc5d0\uc774\uc804\ud2b8 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45<\/h2>\n<p>\uc774\uc81c \uac04\ub2e8\ud55c \uc608\uc81c\ub97c \ud1b5\ud574 RL \uc5d0\uc774\uc804\ud2b8\ub97c \ud3c9\uac00\ud558\uace0 \ub514\ubc84\uae45\ud558\ub294 \ubc29\ubc95\uc744 \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc544\ub798\ub294 OpenAI\uc758 Gym \ub77c\uc774\ube0c\ub7ec\ub9ac\ub97c \uc0ac\uc6a9\ud558\uc5ec Q-learning \uc5d0\uc774\uc804\ud2b8\ub97c \ud3c9\uac00\ud558\uace0 \uc131\ub2a5 \uc9c0\ud45c\ub97c \uae30\ub85d\ud558\ub294 \ucf54\ub4dc\uc785\ub2c8\ub2e4.<\/p>\n<pre><code>import gym\nimport numpy as np\nimport matplotlib.pyplot as plt\n\n# \ud658\uacbd \uc0dd\uc131\nenv = gym.make('CartPole-v1')\n\n# Q-\ud14c\uc774\ube14 \ucd08\uae30\ud654\nQ = np.zeros((env.observation_space.n, env.action_space.n))\n\n# \ud558\uc774\ud37c\ud30c\ub77c\ubbf8\ud130 \uc124\uc815\nlearning_rate = 0.1\ndiscount_factor = 0.95\nnum_episodes = 1000\n\n# \uc131\ub2a5 \ud3c9\uac00 \ubcc0\uc218\nrewards_per_episode = []\n\nfor episode in range(num_episodes):\n    state = env.reset()\n    total_reward = 0\n    done = False\n    \n    while not done:\n        # Epsilon-greedy \uc815\ucc45\n        if np.random.rand() &lt; 0.1:\n            action = env.action_space.sample()\n        else:\n            action = np.argmax(Q[state, :])\n        \n        next_state, reward, done, _ = env.step(action)\n        \n        # Q-\ud14c\uc774\ube14 \uc5c5\ub370\uc774\ud2b8\n        Q[state, action] = Q[state, action] + learning_rate * (reward + discount_factor * np.max(Q[next_state, :]) - Q[state, action])\n        \n        total_reward += reward\n        state = next_state\n    \n    rewards_per_episode.append(total_reward)\n\n# \ud3c9\uade0 \ubcf4\uc0c1 \uacc4\uc0b0\naverage_reward = np.mean(rewards_per_episode)\n\n# \uc131\ub2a5 \uacb0\uacfc \uc2dc\uac01\ud654\nplt.plot(rewards_per_episode)\nplt.xlabel('Episode')\nplt.ylabel('Reward')\nplt.title('Rewards per Episode')\nplt.show()\n\nprint(f\"Average Reward: {average_reward}\")\n<\/code><\/pre>\n<p>\uc704 \ucf54\ub4dc\uc5d0\uc11c Q-learning \uc54c\uace0\ub9ac\uc998\uc744 \uc0ac\uc6a9\ud558\uc5ec CartPole \ud658\uacbd\uc5d0\uc11c \uc5d0\uc774\uc804\ud2b8\ub97c \ud559\uc2b5\uc2dc\ud0a4\uace0 \uac01 \uc5d0\ud53c\uc18c\ub4dc\uc5d0\uc11c \uc5bb\uc740 \ubcf4\uc0c1\uc744 \uae30\ub85d\ud569\ub2c8\ub2e4. \ucd5c\uc885\uc801\uc73c\ub85c \ud3c9\uade0 \ubcf4\uc0c1\uc744 \ucd9c\ub825\ud558\uace0, \uac01 \uc5d0\ud53c\uc18c\ub4dc\uc5d0\uc11c \ubcf4\uc0c1\uc744 \uc2dc\uac01\ud654\ud569\ub2c8\ub2e4.<\/p>\n<h2>6. \uacb0\ub860<\/h2>\n<p>\uac15\ud654\ud559\uc2b5 \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45\uc740 \ud6a8\uacfc\uc801\uc778 \ubaa8\ub378 \uac1c\ubc1c\uc5d0 \uc788\uc5b4\uc11c \ud544\uc218\uc801\uc778 \uacfc\uc815\uc785\ub2c8\ub2e4. \ub2e4\uc591\ud55c \ud3c9\uac00 \uc9c0\ud45c\ub97c \ud65c\uc6a9\ud558\uace0, \ubaa8\ub378\uc744 \uc9c0\uc18d\uc801\uc73c\ub85c \ubaa8\ub2c8\ud130\ub9c1\ud558\uc5ec \uc131\ub2a5\uc744 \ucd5c\uc801\ud654\ud568\uc73c\ub85c\uc368 \uc2e4\uc81c \uc0c1\ud669\uc5d0 \uc801\ud569\ud55c \uc5d0\uc774\uc804\ud2b8\ub97c \uad6c\ucd95\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc55e\uc73c\ub85c\ub3c4 \uac15\ud654\ud559\uc2b5 \ubd84\uc57c\uc5d0\uc11c \ucde8\uc57d\uc810\uc744 \ubcf4\uc644\ud558\uace0, \uc0c8\ub85c\uc6b4 \uae30\uc220\uc744 \uc801\uc6a9\ud558\uc5ec \ud6a8\uacfc\uc801\uc778 \uc5d0\uc774\uc804\ud2b8\ub97c \uac1c\ubc1c\ud574 \ub098\uac00\uae38 \ubc14\ub78d\ub2c8\ub2e4.<\/p>\n<p>\uac10\uc0ac\ud569\ub2c8\ub2e4.<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uac15\ud654\ud559\uc2b5( Reinforcement Learning, RL) \ubd84\uc57c\uc5d0\uc11c\ub294 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638 \uc791\uc6a9\ud558\uba70 \ucd5c\uc801\uc758 \ud589\ub3d9 \uc815\ucc45\uc744 \ud559\uc2b5\ud558\ub294 \uac83\uc774 \ud575\uc2ec\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774 \uacfc\uc815\uc5d0\uc11c \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \ub514\ubc84\uae45\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \ub3c4\uc804\uc801\uc778 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 RL \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c\uc640 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \uc5d0\uc774\uc804\ud2b8\ub97c \uac1c\ubc1c\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uace0\uc790 \ud569\ub2c8\ub2e4. 1. RL \uc5d0\uc774\uc804\ud2b8 \uc131\ub2a5 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/40448\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;43. RL \uc5d0\uc774\uc804\ud2b8 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95, \uc5d0\uc774\uc804\ud2b8 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[213],"tags":[],"class_list":["post-40448","post","type-post","status-publish","format-standard","hentry","category-213"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>43. RL \uc5d0\uc774\uc804\ud2b8 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95, \uc5d0\uc774\uc804\ud2b8 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/atmokpo.com\/w\/40448\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"43. RL \uc5d0\uc774\uc804\ud2b8 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95, \uc5d0\uc774\uc804\ud2b8 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uac15\ud654\ud559\uc2b5( Reinforcement Learning, RL) \ubd84\uc57c\uc5d0\uc11c\ub294 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638 \uc791\uc6a9\ud558\uba70 \ucd5c\uc801\uc758 \ud589\ub3d9 \uc815\ucc45\uc744 \ud559\uc2b5\ud558\ub294 \uac83\uc774 \ud575\uc2ec\uc785\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \uc774 \uacfc\uc815\uc5d0\uc11c \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5\uc744 \ud3c9\uac00\ud558\uace0 \ud6a8\uc728\uc801\uc73c\ub85c \ub514\ubc84\uae45\ud558\ub294 \uac83\uc740 \ub9e4\uc6b0 \ub3c4\uc804\uc801\uc778 \uc791\uc5c5\uc785\ub2c8\ub2e4. \uc774\ubc88 \uae00\uc5d0\uc11c\ub294 RL \uc5d0\uc774\uc804\ud2b8\uc758 \uc131\ub2a5 \ud3c9\uac00 \uc9c0\ud45c\uc640 \ud3c9\uac00 \ubc0f \ub514\ubc84\uae45 \ubc29\ubc95\uc5d0 \ub300\ud574 \uc790\uc138\ud788 \uc124\uba85\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \ub354 \ub098\uc740 \uc5d0\uc774\uc804\ud2b8\ub97c \uac1c\ubc1c\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub418\uace0\uc790 \ud569\ub2c8\ub2e4. 1. 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