Which type of Machine Learning learns through interaction with an environment using rewards or penalties?

Options

  • A. Supervised Learning
  • B. Unsupervised Learning
  • C. Reinforcement Learning
  • D. Semi-supervised Learning
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

C. Reinforcement Learning

Detailed Explanation

Reinforcement Learning involves an agent interacting with an environment. The agent performs actions and receives rewards or penalties as feedback. Over time, it learns a strategy or policy intended to maximize the cumulative reward.