AI Quiz

In reinforcement learning, which of the following represents the learner or decision-maker?

• Environment

• Action

• Agent

• Reward

The main goal of reinforcement learning is to:

• Minimize training time

• Maximize total accumulated reward

• Classify data accurately

• Minimize the number of actions

In RL, the balance between trying new actions and choosing known good ones is called:

• Exploration vs. Imitation

• Exploitation vs. Generalization

• Exploration vs. Exploitation

• Training vs. Testing

The feedback received after an action is called:

• State

• Observation

• Reward

• Policy

Which of the following is not a component of reinforcement learning?

• Dataset

• Agent

• Action

• Environment

Define state in reinforcement learning.

What is a policy in reinforcement learning?

Give a real-world example of reinforcement learning.

What does the agent aim to do with rewards over time?

In RL, what happens if the agent only exploits and never explores?