Practice - Key RL Algorithms
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Practice Questions
Test your understanding with targeted questions
What is Q-Learning?
💡 Hint: It's a value-based method.
What is the purpose of DQNs?
💡 Hint: Think of environments with many possible states.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does Q-Learning focus on?
💡 Hint: It's a foundational value-based technique.
True or False: DQNs can handle large state spaces efficiently.
💡 Hint: Think about how the complexity of states is managed.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Design a simple agent using Q-Learning for a grid-based game where the goal is to reach the top-right corner. Outline the Q-table structure and the expected updates.
💡 Hint: Consider how rewards would be assigned in this environment.
Compare the effectiveness of DQNs versus classical Q-Learning in a scenario involving high-dimensional sensor data, such as in robotics.
💡 Hint: Think about the capabilities of neural networks in processing complex data.
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Reference links
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