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* **Reinforcement learning** is where the algorithm learns by interacting with an environment and receiving rewards or penalties for its actions. For example, you might train an AI agent to play a game by rewarding it for making good moves and penalizing it for making bad moves. Over time, the agent learns to make decisions that maximize its rewards.
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1. Load a large dataset into a DataFrame.
