Reinforcement Learning: From Theory to Practice
Reinforcement learning is a type of machine learning technique that involves training a system through repetitive trial-and-error experimentation. Unlike other machine learning techniques that rely on labeled data, reinforcement learning uses rewards and punishments to guide the system’s learning process. This approach resembles how humans learn from experiences, making it a promising area of study…
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