Reinforcement Learning

Reinforcement Learning (RL) is a type of machine learning where an agent learns to make decisions by interacting with its environment to achieve a specific goal. Unlike supervised learning, where the model learns from labeled data, RL involves learning from trial and error. The agent takes actions in the environment, receives feedback in the form of rewards or penalties, and uses this feedback to ____ _______ _____ _______ ___ ______ ___.
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