In Reinforcement Learning, what is the role of an agent?

Options

  • A. The agent observes the environment, selects actions, and learns from the resulting rewards
  • B. The agent only stores the training dataset
  • C. The agent provides predefined class labels for supervised learning
  • D. The agent only measures the size of the environment
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. The agent observes the environment, selects actions, and learns from the resulting rewards

Detailed Explanation

In Reinforcement Learning, the agent is the learner or decision-maker. It observes the current state of the environment, selects an action according to its policy, and receives feedback in the form of a reward. Through repeated interaction, the agent improves its decision-making strategy.

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