{"id":1242,"date":"2025-08-30T16:16:21","date_gmt":"2025-08-30T16:16:21","guid":{"rendered":"https:\/\/iothook.com\/?p=1242"},"modified":"2025-08-30T16:17:05","modified_gmt":"2025-08-30T16:17:05","slug":"reinforcement-learning-rl","status":"publish","type":"post","link":"https:\/\/iothook.com\/en\/reinforcement-learning-rl\/","title":{"rendered":"Reinforcement Learning (RL)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Reinforcement Learning (RL):<\/strong> A type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize some notion of cumulative reward. It&#8217;s often used for training AI in games or for controlling complex systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Reinforcement Learning (RL): A type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize some notion of cumulative reward. 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