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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define what an agent is in Reinforcement Learning.
π‘ Hint: What role does the learner play?
Question 2
Easy
What is the purpose of rewards in Reinforcement Learning?
π‘ Hint: How does feedback relate to learning?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main focus of Reinforcement Learning?
- A) Supervised learning
- B) Maximizing cumulative rewards
- C) Pattern recognition
π‘ Hint: Consider what RL seeks to optimize through learning.
Question 2
True or False: An agent in Reinforcement Learning can learn without feedback.
- True
- False
π‘ Hint: Think about the role of feedback in learning.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given an unfamiliar environment, devise a strategy that balances exploration and exploitation for an RL agent aiming to maximize its rewards. Justify your strategy.
π‘ Hint: Think about how you would mix familiar routes with exploring new paths when driving.
Question 2
Analyze a scenario where an agent becomes stuck in a local optimum. What factors could lead to this situation?
π‘ Hint: Consider what might happen if the agent only chooses what it already knows works.
Challenge and get performance evaluation