What is the basic idea of Q-Learning?

Options

  • A. It learns the expected value of taking an action in a particular state and uses these values to select better actions
  • B. It requires all training examples to have predefined class labels
  • C. It groups data into clusters using only Euclidean distance
  • D. It predicts continuous values using a straight-line equation
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. It learns the expected value of taking an action in a particular state and uses these values to select better actions

Detailed Explanation

Q-Learning is a model-free Reinforcement Learning algorithm. It learns a Q-value representing the expected future reward for taking a particular action in a particular state. The learned Q-values help the agent choose actions that can maximize its long-term reward.

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