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. The key idea in RL is that the agent takes actions in an environment and receives feedback in the form of rewards or penalties. The goal is to learn a policy that will maximize the total reward over time.

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