Practice Actor-Critic A2C, PPO, DDPG - 3.4 | Reinforcement Learning and Decision Making | Artificial Intelligence Advance
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3.4 - Actor-Critic A2C, PPO, DDPG

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does the Actor component do in Actor-Critic methods?

💡 Hint: Think about who makes choices.

Question 2

Easy

What is the function of the Critic?

💡 Hint: Consider who gives feedback.

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 does 'Actor' refer to in Actor-Critic methods?

  • Evaluates actions
  • Selects actions
  • None of the above

💡 Hint: Consider who makes decisions.

Question 2

Is the Critic's role to provide value evaluations?

  • True
  • False

💡 Hint: What does the Critic do in the Actor-Critic pairing?

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a hybrid algorithm incorporating features from A2C, PPO, and DDPG to address a reinforcement learning problem of your choice. Discuss potential benefits and drawbacks.

💡 Hint: Think about the unique strengths of each algorithm.

Question 2

Analyze a scenario where unstable updates could severely impact the agent's performance. What strategies could be implemented to mitigate these issues using concepts from the A2C and PPO algorithms?

💡 Hint: Consider the structural features of these algorithms.

Challenge and get performance evaluation