Practice Deep Q-networks (dqn) (10.3.2) - Reinforcement Learning

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9 questions

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3 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What does DQN stand for?
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What does the 'D' in DQN imply?
Question 2.
Name one technique used in DQNs to stabilize training.
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Think about storing past experiences or using an additional network.
3Question 3.
What does DQN primarily utilize to approximate Q-values?
- Linear Regression
- Deep Neural Networks
- Tabular Method
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Think about why Q-learning needed an upgrade.
4Question 4.
True or False: DQNs can directly learn from raw pixel input.
- True
- False
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Consider the applications of DQNs in gaming.
Question 5.
Design a pseudo-code for a simple DQN algorithm that incorporates experience replay and a target network.
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Consider steps involved in maintaining and updating both networks.
Question 6.
Critically analyze the impact of experience replay on the performance of a DQN agent in a specific scenario, such as playing a complex game.
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Reflect on both the pros and cons in the context of dynamic environments.

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