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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does RL stand for?
💡 Hint: Think of the learning process that involves interactions.
Question 2
Easy
What is an agent in RL?
💡 Hint: Consider who is learning in the context of RL.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the main component of the RL process?
💡 Hint: Think about what elements contribute to learning in RL.
Question 2
True or False: An agent aims to minimize its cumulative reward.
💡 Hint: Consider the objective of the agent in learning.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design an RL scenario in a game of Tic-Tac-Toe where an agent learns to play optimally. Describe the states, actions, and possible rewards.
💡 Hint: Think about how the state changes after each move.
Question 2
Analyze the potential downsides of using exploration-heavy strategies in RL. What could go wrong?
💡 Hint: Consider efficiency and time investment in learning.
Challenge and get performance evaluation