Which type of machine learning algorithm produces results using a reward and feedback mechanism?

Reinforcement learning is a type of machine learning where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward. This learning process involves receiving feedback in the form of rewards or penalties based on the actions taken, allowing the agent to improve its performance over time through trial and error.

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