{"id":40434,"date":"2024-11-04T01:51:42","date_gmt":"2024-11-04T01:51:42","guid":{"rendered":"https:\/\/atmokpo.com\/w\/?p=40434"},"modified":"2024-11-26T06:39:11","modified_gmt":"2024-11-26T06:39:11","slug":"51-%eb%aa%a8%eb%8d%b8-%ea%b8%b0%eb%b0%98-%ea%b0%95%ed%99%94%ed%95%99%ec%8a%b5model-based-rl%ea%b3%bc-%eb%aa%a8%eb%8d%b8-%ed%94%84%eb%a6%ac-%ea%b0%95%ed%99%94%ed%95%99%ec%8a%b5%ec%9d%98-%eb%b9%84","status":"publish","type":"post","link":"https:\/\/atmokpo.com\/w\/40434\/","title":{"rendered":"51. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5(Model-Based RL)\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc758 \ube44\uad50, \ubaa8\ub378 \uae30\ubc18 RL\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810"},"content":{"rendered":"<p><body><\/p>\n<p>\uac15\ud654\ud559\uc2b5(reinforcement learning, RL)\uc740 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba74\uc11c \ucd5c\uc801\uc758 \ud589\ub3d9 \uc815\ucc45\uc744 \ud559\uc2b5\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uac15\ud654\ud559\uc2b5\uc758 \uc8fc\uc694 \uae30\ubc95 \uc911 \ud558\ub098\ub294 \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5(Model-Based RL)\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5(Model-Free RL)\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub450 \ubc29\uc2dd\uc758 \ucc28\uc774\uc810, \uc7a5\uc810\uacfc \ub2e8\uc810, \uadf8\ub9ac\uace0 \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc758 \uc608\uc81c\ub97c \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>1. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc774\ub780?<\/h2>\n<p>\ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc740 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uc758 \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ud658\uacbd\uc758 \uc0c1\ud0dc\uc640 \ud589\ub3d9\uc758 \uacb0\uacfc\ub97c \uc608\uce21\ud560 \uc218 \uc788\ub294 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uc5ec \uc774\ub97c \ud1b5\ud574 \ucd5c\uc801\uc758 \uc815\ucc45\uc744 \ucc3e\uace0, \ud544\uc694 \uc2dc \uc2dc\ubbac\ub808\uc774\uc158\uc744 \ud1b5\ud574 \ud589\ub3d9\uc744 \uacb0\uc815\ud569\ub2c8\ub2e4.<\/p>\n<h3>1.1 \ubaa8\ub378 \uae30\ubc18 RL\uc758 \uacfc\uc815<\/h3>\n<ol>\n<li><strong>\ud658\uacbd \ubaa8\ub378 \ud559\uc2b5:<\/strong> \uc5d0\uc774\uc804\ud2b8\ub294 \ud658\uacbd\uc758 \ub3d9\uc801 \ud2b9\uc131\uc744 \ud559\uc2b5\ud569\ub2c8\ub2e4. \uc774\ub97c \ud1b5\ud574 \uc0c1\ud0dc \uc804\uc774\uc640 \ubcf4\uc0c1\uc744 \uc608\uce21\ud560 \uc218 \uc788\ub294 \ubaa8\ub378(<em>P(s&#8217;|s,a)<\/em>\uc640 <em>R(s,a)<\/em>)\uc744 \uad6c\ucd95\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\uc815\ucc45 \ud559\uc2b5:<\/strong> \ud559\uc2b5\ud55c \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud558\uc5ec \ucd5c\uc801\uc758 \uc815\ucc45\uc744 \ucc3e\uc2b5\ub2c8\ub2e4. \uc8fc\ub85c \uac00\uce58 \ud568\uc218\ub098 \uc815\ucc45\uc744 \ucd5c\uc801\ud654\ud558\ub294 \ubc29\ubc95\uc744 \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/li>\n<li><strong>\ud589\ub3d9 \uc120\ud0dd:<\/strong> \ud658\uacbd \ubaa8\ub378\uc744 \ubc14\ud0d5\uc73c\ub85c \ud589\ub3d9\uc744 \uc120\ud0dd\ud558\uace0, \uc774\ub97c \ud1b5\ud574 \uc2e4\uc81c \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uc5ec \uc0c8\ub85c\uc6b4 \ub370\uc774\ud130\ub97c \uc218\uc9d1\ud569\ub2c8\ub2e4.<\/li>\n<\/ol>\n<h2>2. \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc774\ub780?<\/h2>\n<p>\ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc740 \ud658\uacbd\uc758 \ubaa8\ub378\uc744 \uad6c\ucd95\ud558\uc9c0 \uc54a\uace0, \uc9c1\uc811\uc801\uc778 \uacbd\ud5d8\uc744 \uae30\ubc18\uc73c\ub85c \uc815\ucc45\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \uc77c\ubc18\uc801\uc73c\ub85c \uac12\uc744 \ud3c9\uac00\ud558\ub294 \ubc29\ubc95(state-value function, action-value function)\uc744 \ud1b5\ud574 \ucd5c\uc801\uc758 \uc815\ucc45\uc744 \uacb0\uc815\ud569\ub2c8\ub2e4.<\/p>\n<h3>2.1 \ubaa8\ub378 \ud504\ub9ac RL\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810<\/h3>\n<p>\ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc740 \ubaa8\ub378\uc744 \uc9c1\uc811 \ud559\uc2b5\ud558\uc9c0 \uc54a\uae30 \ub54c\ubb38\uc5d0 \uc801\uc6a9\uc774 \uac04\ud3b8\ud558\uace0, \ubcf5\uc7a1\ud55c \ud658\uacbd\uc5d0\uc11c\ub3c4 \uc27d\uac8c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uadf8\ub7ec\ub098 \ub9ce\uc740 \ub370\uc774\ud130\ub97c \ud544\uc694\ub85c \ud558\uace0, \ud0d0\uc0c9\uacfc \ud65c\uc6a9\uc758 \uade0\ud615\uc744 \uc798 \ub9de\ucdb0\uc57c \uacb0\uacfc\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<h2>3. \ubaa8\ub378 \uae30\ubc18 VS \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5<\/h2>\n<p>\ub450 \ubc29\uc2dd\uc740 \uc0c1\ubc18\ub41c \uc811\uadfc\ubc95\uc744 \uac00\uc9c0\uace0 \uc788\uc73c\uba70, \uc0c1\ud669\uc5d0 \ub530\ub77c \uc7a5\ub2e8\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub2e4\uc74c \ud45c\ub294 \ub450 \ubc29\uc2dd\uc758 \ube44\uad50\uc785\ub2c8\ub2e4.<\/p>\n<table border=\"1\">\n<tr>\n<th>\ud2b9\uc9d5<\/th>\n<th>\ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5<\/th>\n<th>\ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5<\/th>\n<\/tr>\n<tr>\n<td>\ubaa8\ub378 \uc0ac\uc6a9<\/td>\n<td>\ud658\uacbd \ubaa8\ub378 \uc0ac\uc6a9<\/td>\n<td>\ubaa8\ub378 \ubbf8\uc0ac\uc6a9<\/td>\n<\/tr>\n<tr>\n<td>\ub370\uc774\ud130 \ud6a8\uc728\uc131<\/td>\n<td>\uc0c1\ub300\uc801\uc73c\ub85c \ud6a8\uc728\uc801<\/td>\n<td>\uc0c1\ub300\uc801\uc73c\ub85c \ube44\ud6a8\uc728\uc801<\/td>\n<\/tr>\n<tr>\n<td>\ud6c8\ub828 \uc2dc\uac04<\/td>\n<td>\uc0c1\ub300\uc801\uc73c\ub85c \ube60\ub984<\/td>\n<td>\uc0c1\ub300\uc801\uc73c\ub85c \ub290\ub9bc<\/td>\n<\/tr>\n<tr>\n<td>\ubcf5\uc7a1\ud55c \ud658\uacbd<\/td>\n<td>\uc131\ub2a5 \uc800\ud558 \uac00\ub2a5\uc131<\/td>\n<td>\uc0c1\ub300\uc801\uc73c\ub85c \uc6d0\ud65c\ud568<\/td>\n<\/tr>\n<\/table>\n<h2>4. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810<\/h2>\n<h3>4.1 \uc7a5\uc810<\/h3>\n<ul>\n<li><strong>\ub370\uc774\ud130 \ud6a8\uc728\uc131:<\/strong> \ubaa8\ub378\uc744 \ud1b5\ud574 \ubbf8\ub798\uc758 \uacb0\uacfc\ub97c \uc608\uce21\ud558\ubbc0\ub85c, \uc2dc\ubbac\ub808\uc774\uc158\uc744 \ud65c\uc6a9\ud574 \ub354 \uc77c\ubc18\ud654\ub41c \uacb0\uacfc\ub97c \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc548\uc804\ud55c \ud0d0\uc0c9:<\/strong> \ubaa8\ub378\uc744 \uae30\ubc18\uc73c\ub85c \uc548\uc804\ud558\uac8c \ud0d0\uc0c9\ud560 \uc218 \uc788\uc5b4 \uc704\ud5d8\ud55c \ud589\ub3d9\uc744 \uc904\uc77c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\ube60\ub978 \uc801\uc751:<\/strong> \ud658\uacbd\uc758 \ubcc0\ud654\ub97c \uc2e0\uc18d\ud558\uac8c \ubc18\uc601\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h3>4.2 \ub2e8\uc810<\/h3>\n<ul>\n<li><strong>\ubaa8\ub378 \uad6c\ucd95\uc758 \ubcf5\uc7a1\uc131:<\/strong> \uc2e4\uc81c \ud658\uacbd\uc744 \uc815\ud655\ud788 \ubaa8\ub378\ub9c1\ud558\ub294 \uac83\uc774 \uc5b4\ub835\uace0, \uc624\ub958\uac00 \ubc1c\uc0dd\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uacc4\uc0b0 \ube44\uc6a9:<\/strong> \ubaa8\ub378\uc744 \uc0ac\uc6a9\ud55c \uacc4\uc0b0\uc774 \ud06c\uace0 \ubcf5\uc7a1\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<li><strong>\uc804\uc774 \ud559\uc2b5\uc758 \uc5b4\ub824\uc6c0:<\/strong> \ud55c \ud658\uacbd\uc5d0\uc11c \ud559\uc2b5\ud55c \ubaa8\ub378\uc774 \ub2e4\ub978 \ud658\uacbd\uc5d0 \uc801\uc6a9\ub418\uae30 \uc5b4\ub824\uc6b8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<h2>5. \ubaa8\ub378 \uae30\ubc18 RL\uc758 \uac04\ub2e8\ud55c \uc608\uc81c<\/h2>\n<p>\uc774\uc81c \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc758 \uac04\ub2e8\ud55c \uc608\uc81c\ub97c \uc0b4\ud3b4\ubcf4\uaca0\uc2b5\ub2c8\ub2e4. \uc774 \uc608\uc81c\uc5d0\uc11c\ub294 <em>OpenAI Gym<\/em>\uc758 &#8220;CartPole&#8221; \ud658\uacbd\uc744 \uc0ac\uc6a9\ud558\uc5ec \ubaa8\ub378 \uae30\ubc18 \ubc29\ubc95\uc73c\ub85c \uc5d0\uc774\uc804\ud2b8\ub97c \ud6c8\ub828\uc2dc\ud0a4\ub294 \uacfc\uc815\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/p>\n<pre><code>\nimport numpy as np\nimport gym\n\nclass Model:\n    def __init__(self):\n        self.transition_matrix = {}\n        self.reward_matrix = {}\n    \n    def update(self, state, action, next_state, reward):\n        self.transition_matrix[(state, action)] = next_state\n        self.reward_matrix[(state, action)] = reward\n      \n    def predict(self, state, action):\n        return self.transition_matrix.get((state, action)), self.reward_matrix.get((state, action))\n\nenv = gym.make('CartPole-v1')\nmodel = Model()\n\n# Q \ud14c\uc774\ube14 \ucd08\uae30\ud654\nQ = np.zeros((env.observation_space.shape[0], env.action_space.n))\nepisodes = 1000\n\nfor ep in range(episodes):\n    state = env.reset()\n    done = False\n    \n    while not done:\n        action = np.argmax(Q[state])  # \ud604\uc7ac \uc0c1\ud0dc\uc5d0\uc11c \uac00\uc7a5 \ub192\uc740 Q \uac12 \uc120\ud0dd\n        next_state, reward, done, _ = env.step(action)\n        \n        model.update(state, action, next_state, reward)  # \ubaa8\ub378 \uc5c5\ub370\uc774\ud2b8\n        \n        predicted_next_state, predicted_reward = model.predict(state, action)\n        \n        if predicted_next_state is not None:\n            Q[state, action] = predicted_reward + np.max(Q[predicted_next_state])  # Q \uac12 \uc5c5\ub370\uc774\ud2b8\n        state = next_state\n\nenv.close()\n<\/code><\/pre>\n<h2>\uacb0\ub860<\/h2>\n<p>\ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc740 \uac01\uac01\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \ubaa8\ub378 \uae30\ubc18 RL\uc740 \ub370\uc774\ud130 \ud6a8\uc728\uc801\uc778 \ud559\uc2b5\uc744 \uac00\ub2a5\ud558\uac8c \ud558\uace0 \ube60\ub974\uac8c \uc801\uc751\ud560 \uc218 \uc788\ub294 \uc7a5\uc810\uc744 \uac00\uc9c0\uace0 \uc788\uc9c0\ub9cc, \ubaa8\ub378 \uad6c\ucd95\uc758 \uc5b4\ub824\uc6c0\uacfc \uacc4\uc0b0 \ube44\uc6a9 \ub4f1\uc758 \ubcf5\uc7a1\uc131\uc774 \uc874\uc7ac\ud569\ub2c8\ub2e4. \ubc18\uba74\uc5d0 \ubaa8\ub378 \ud504\ub9ac RL\uc740 \uc9c1\uc811\uc801\uc778 \uacbd\ud5d8\uc744 \ud1b5\ud574 \uac04\ud3b8\ud558\uac8c \uc801\uc6a9\ud560 \uc218 \uc788\uc9c0\ub9cc, \ub370\uc774\ud130\ub97c \ub9ce\uc774 \uc18c\ubaa8\ud558\uba70 \ud0d0\uc0c9\uacfc \ud65c\uc6a9\uc758 \uade0\ud615\uc5d0 \ub530\ub77c \uc131\ub2a5\uc774 \ub2ec\ub77c\uc9c8 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n<p>\uac15\ud654\ud559\uc2b5\uc758 \ubc1c\uc804\uc740 \ub9ce\uc740 \ubd84\uc57c\uc5d0\uc11c \ud601\uc2e0\uc801 \ubcc0\ud654\ub97c \uac00\uc838\uc624\uace0 \uc788\uc73c\uba70, \ub450 \uc811\uadfc \ubc29\uc2dd\uc758 \uc7a5\uc810\uc744 \uc798 \ud65c\uc6a9\ud558\ub294 \uac83\uc774 \uc55e\uc73c\ub85c\uc758 \uc8fc\uc694 \uacfc\uc81c\uac00 \ub420 \uac83\uc785\ub2c8\ub2e4.<\/p>\n<p><\/body><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uac15\ud654\ud559\uc2b5(reinforcement learning, RL)\uc740 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba74\uc11c \ucd5c\uc801\uc758 \ud589\ub3d9 \uc815\ucc45\uc744 \ud559\uc2b5\ud558\ub294 \uacfc\uc815\uc785\ub2c8\ub2e4. \uac15\ud654\ud559\uc2b5\uc758 \uc8fc\uc694 \uae30\ubc95 \uc911 \ud558\ub098\ub294 \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5(Model-Based RL)\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5(Model-Free RL)\uc785\ub2c8\ub2e4. \uc774 \uae00\uc5d0\uc11c\ub294 \ub450 \ubc29\uc2dd\uc758 \ucc28\uc774\uc810, \uc7a5\uc810\uacfc \ub2e8\uc810, \uadf8\ub9ac\uace0 \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc758 \uc608\uc81c\ub97c \ub2e4\ub8e8\uaca0\uc2b5\ub2c8\ub2e4. 1. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc774\ub780? \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5\uc740 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uc758 \ubaa8\ub378\uc744 \ud559\uc2b5\ud558\ub294 \ubc29\ubc95\uc785\ub2c8\ub2e4. \ud658\uacbd\uc758 \uc0c1\ud0dc\uc640 \ud589\ub3d9\uc758 \uacb0\uacfc\ub97c \uc608\uce21\ud560 \uc218 &hellip; <a href=\"https:\/\/atmokpo.com\/w\/40434\/\" class=\"more-link\">\ub354 \ubcf4\uae30<span class=\"screen-reader-text\"> &#8220;51. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5(Model-Based RL)\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc758 \ube44\uad50, \ubaa8\ub378 \uae30\ubc18 RL\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810&#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-40434","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>51. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5(Model-Based RL)\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc758 \ube44\uad50, \ubaa8\ub378 \uae30\ubc18 RL\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810 - \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\/40434\/\" \/>\n<meta property=\"og:locale\" content=\"ko_KR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"51. \ubaa8\ub378 \uae30\ubc18 \uac15\ud654\ud559\uc2b5(Model-Based RL)\uacfc \ubaa8\ub378 \ud504\ub9ac \uac15\ud654\ud559\uc2b5\uc758 \ube44\uad50, \ubaa8\ub378 \uae30\ubc18 RL\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810 - \ub77c\uc774\ube0c\uc2a4\ub9c8\ud2b8\" \/>\n<meta property=\"og:description\" content=\"\uac15\ud654\ud559\uc2b5(reinforcement learning, RL)\uc740 \uc5d0\uc774\uc804\ud2b8\uac00 \ud658\uacbd\uacfc \uc0c1\ud638\uc791\uc6a9\ud558\uba74\uc11c \ucd5c\uc801\uc758 \ud589\ub3d9 \uc815\ucc45\uc744 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