What is meant by a policy in Reinforcement Learning?

Options

  • A. A strategy that determines which action an agent should take in a given state
  • B. A dataset containing only labeled examples
  • C. A measure of the physical size of the environment
  • D. A fixed reward value for every possible action
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. A strategy that determines which action an agent should take in a given state

Detailed Explanation

A policy defines the behavior of an agent in Reinforcement Learning. It specifies how the agent chooses an action based on the current state. A good policy should guide the agent toward actions that maximize the expected cumulative reward.