Practice Role of Neural Networks in RL - 9.7.1 | 9. Reinforcement Learning and Bandits | Advance Machine Learning
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9.7.1 - Role of Neural Networks in RL

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the role of neural networks in reinforcement learning?

πŸ’‘ Hint: Think about how decisions are made in complex environments.

Question 2

Easy

Define Experience Replay.

πŸ’‘ Hint: Consider how a player learns from past game moves.

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 a Q-value in reinforcement learning?

  • A function of state
  • A measure of reward
  • The expected reward for action

πŸ’‘ Hint: Think about how rewards build up in a game.

Question 2

True or False: Experience Replay is used to update the neural network with only the most recent experience.

  • True
  • False

πŸ’‘ Hint: Consider how learning from history can improve performance.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

How might you apply reinforcement learning to a game with both discrete and continuous actions? Describe an architecture and address potential challenges.

πŸ’‘ Hint: Think about hybrid models that can handle varying action types.

Question 2

Analyze how prioritizing experience replay could enhance learning in a DQN. What are some potential drawbacks?

πŸ’‘ Hint: Consider the balance between speed and accuracy in learning.

Challenge and get performance evaluation