Practice Reinforcement Learning In Robotics (4) - AI in Robotics and Autonomous Systems

Practice: Reinforcement Learning in Robotics

Lesson 4AI in Robotics and Autonomous Systems

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10 questions

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

Question 1.
What is Reinforcement Learning?
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Think of examples like training pets!
Question 2.
Name one advantage of Sim-to-Real Transfer.
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Consider mistakes made in training.
3Question 3.
What does RL stand for?
- Responsible Learning
- Reinforcement Learning
- Reactive Learning
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Focus on the role of rewards in learning.
4Question 4.
Sim-to-Real Transfer is used to:
- True
- False
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Think of how simulations help in real-world applications.
Question 5.
Design a training program for a robot to learn how to navigate an obstacle course using RL. Consider the types of rewards and penalties.
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Think about different types of obstacles the robot would encounter.
Question 6.
Evaluate the impact of using various RL algorithms (PPO vs. DDPG) on a robot's performance in a task. Discuss advantages and scenarios where one may be preferred over the other.
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Consider specific tasks that require either discrete or continuous actions.

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