What is the basic concept of Reinforcement Learning?

Options

  • A. Learning through interaction with an environment using rewards or penalties as feedback
  • B. Learning only from labeled input-output pairs
  • C. Grouping data without using any feedback
  • D. Learning only by storing previously observed data
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. Learning through interaction with an environment using rewards or penalties as feedback

Detailed Explanation

Reinforcement Learning (RL) is a type of Machine Learning in which an agent learns by interacting with an environment. The agent performs actions and receives rewards or penalties as feedback. Its objective is generally to learn a strategy that maximizes the cumulative reward over time.

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