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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of neural networks in deep reinforcement learning?
π‘ Hint: Think about how they help agents process information.
Question 2
Easy
Describe experience replay in one or two sentences.
π‘ Hint: Consider how students might review old tests to do better.
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 advantage of using neural networks in DRL?
π‘ Hint: Think about the kinds of problems neural networks solve.
Question 2
True or False: Experience replay can make learning less efficient.
π‘ Hint: Consider if reviewing past inputs helps performance.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Design a DRL agent for a video game environment. Explain how you would implement DQN and address potential challenges in training.
π‘ Hint: What game mechanics will influence your state and action definitions?
Question 2
Develop a comparison of DDPG and TD3 regarding their implementations in continuous spaces. What are the merits of choosing one over the other in specific environments?
π‘ Hint: Consider how exploration and stability affect learning in different scenarios.
Challenge and get performance evaluation