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Machine Learning Reinforcement Learning

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In Reinforcement Learning, an agent interacts with its environment through a series of discrete _.

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A
Actions
💡 Explanation:

In Reinforcement Learning, the agent takes actions in the environment, which lead to changes in the state of the environment and the receipt of rewards.

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