Practice Value Functions (10.2.3) - Reinforcement Learning - AI Course Fundamental

Practice: Value Functions

Lesson 10.2.3Reinforcement Learning

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8 questions

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Exercise
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Quiz
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6 sample questions

Question 1.
What does the state-value function measure?
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Think about what perspective this value function evaluates.
Question 2.
What is the action-value function used for?
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Consider what happens after an action is taken.
3Question 3.
What does the state-value function V(s) estimate?
- Expected return from state s
- Expected return from action a
- Total reward received
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Focus on the context of being in a state.
4Question 4.
Is Q(s, a) concerned with evaluation after taking an action?
- True
- False
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Consider what happens going forward after an action is chosen.
Question 5.
Given a set of states and actions, derive the state-value and action-value functions and explain how they will influence the decisions made by an RL agent.
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Focus on how an agent chooses to maximize rewards based on calculated values.
Question 6.
Discuss the impact of inaccurate estimations of V(s) and Q(s, a) on an agent's ability to learn effectively over time.
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Think about real-world implications and how agents must adapt to learn.

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