/Reinforcement_Learning

Reinforcement learning is a machine learning paradigm where an agent learns to make decisions by interacting with an environment. Through trial and error, the agent receives feedback in the form of rewards or penalties, adjusting its behavior to maximize cumulative rewards.

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