Practice Reinforcement Learning (30.3.2.c) - Introduction to Machine Learning and AI

Practice: Reinforcement Learning

Lesson 30.3.2.cIntroduction to Machine Learning and AI

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8 questions

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4 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
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What are the four main components of reinforcement learning?
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Think about the role each part plays.
Question 2.
What does the agent do in reinforcement learning?
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Focus on the agent's role.
3Question 3.
Which of the following is not a component of reinforcement learning?
- Agent
- Reward
- Action
- Algorithm
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Remember the main components of RL.
4Question 4.
True or False: The policy in reinforcement learning defines the actions an agent will take.
- True
- False
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Think about what guides the agent's behavior.
Question 5.
Design a reinforcement learning algorithm for a robot tasked with navigating a dynamic environment with obstacles. Describe states, actions, rewards, and an outline of the learning algorithm.
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Think about how to structure the feedback loop.
Question 6.
Imagine a factory environment where robots learn to perform tasks autonomously using reinforcement learning. Discuss how you might implement a feedback mechanism to enhance learning outcomes.
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Consider what types of feedback would be most beneficial for learning.

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