Practice Sample Inefficiency (6.3) - Reinforcement Learning and Decision Making

Practice: Sample Inefficiency

Lesson 6.3Reinforcement Learning and Decision Making

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is sample inefficiency?
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Think about how often you need to practice something to get better at it.
Question 2.
Give an example of a situation where sample inefficiency occurs.
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Consider contexts where learning from experience is crucial.
3Question 3.
What does sample inefficiency refer to in reinforcement learning?
- agents require many interactions to learn
- agents learn instantly
- agents learn without interaction
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Think about the time it takes to master a new skill.
4Question 4.
True or False: Experience replay helps learning efficiency by using past experiences more than once.
- True
- False
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Consider how reviewing your notes helps when studying for a test.
Question 5.
An RL agent is required to learn a new game with very sparse rewards. Explain how it could tackle sample inefficiency in this scenario.
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Think about how other strategies in gaming could allow for quicker adaptation to rewards.
Question 6.
Develop a brief plan for implementing a reinforcement learning algorithm that mitigates sample inefficiency in a real-world application like warehouse management.
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Consider everyday processes in a warehouse and outline how you could improve the efficiency of learning through trials.

5 more questions in this section. Enroll free to practise them all.