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Reinforcement learning is essential for decisionmaking tasks from "summary" of Machine Learning For Dummies by John Paul Mueller,Luca Massaron
Reinforcement learning is a critical component when it comes to making decisions in various tasks. The ability of a machine to learn from its actions and the outcomes they produce is essential in ensuring that it can improve its decision-making process over time. This type of learning involves the machine receiving feedback in the form of rewards or penalties based on the actions it takes. By using this feedback to adjust its actions, the machine can learn to make better decisions in the future. In decision-making tasks, reinforcement learning allows the machine to explore different options and determine which ones lead to the best outcomes. This process is similar to how humans learn from experience and adjust their behavior accordingly. By continuously evaluating the rewards and penalties associated with different actions, the machine can gradually refine its decision-making strategy to...
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