Recall & Review
beginner
What does 'success criteria' mean for an AI agent?
Success criteria are clear goals or measures that tell us when an AI agent has done its job well.
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beginner
Why is it important to define success criteria before training an agent?
Because it guides the agent's learning and helps us know if it is working correctly.
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intermediate
Name two common types of success criteria for agents.
Accuracy of task completion and efficiency (like speed or resource use) are common success criteria.
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intermediate
How can success criteria affect an agent's behavior?
They shape what the agent tries to do by rewarding certain actions and ignoring others.
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advanced
What happens if success criteria are too vague or wrong?
The agent might learn the wrong tasks or behave unpredictably, missing the real goal.
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What is the main purpose of defining success criteria for an AI agent?
✗ Incorrect
Success criteria help us measure if the agent is doing what we want.
Which of these is NOT a good success criterion for an agent?
✗ Incorrect
Random behavior does not help measure success.
If success criteria are unclear, what might happen?
✗ Incorrect
Unclear goals can confuse the agent and lead to wrong learning.
Success criteria can include which of the following?
✗ Incorrect
Task accuracy is a key measure of success.
How do success criteria influence agent training?
✗ Incorrect
Success criteria guide the learning process.
Explain why defining clear success criteria is essential for training an AI agent.
Think about how goals help you learn a new skill.
You got /3 concepts.
Describe what could happen if an AI agent has poorly defined success criteria.
Imagine trying to do a job without clear instructions.
You got /3 concepts.