QuizMe

pt-drl

מנהלים:

Rahaf Sbeh

pt-drl

Discuss, Learn and be Happy דיון בשאלות

In reinforcement learning, which component is responsible for updating the policy?

2. Which of the following is a major challenge in reinforcement learning compared to supervised learning?

3. Why do DQNs use experience replay?

4. Policy gradients are particularly useful in

5. Which of the following statements about DAgger is correct?

6. Which problem does imitation learning aim to solve?

7. What is the main goal of multi-arm bandit algorithms?

8. Which exploration strategy assigns probabilities to actions based on their likelihood of being optimal?

9. In Monte Carlo Tree Search (MCTS), what does the Upper Confidence Bound (UCB) formula help with?

10. AlphaGo uses which key techniques?

pt-drl

Discuss, Learn and be Happy דיון בשאלות

In reinforcement learning, which component is responsible for updating the policy?

2. Which of the following is a major challenge in reinforcement learning compared to supervised learning?

3. Why do DQNs use experience replay?

4. Policy gradients are particularly useful in

5. Which of the following statements about DAgger is correct?

6. Which problem does imitation learning aim to solve?

7. What is the main goal of multi-arm bandit algorithms?

8. Which exploration strategy assigns probabilities to actions based on their likelihood of being optimal?

9. In Monte Carlo Tree Search (MCTS), what does the Upper Confidence Bound (UCB) formula help with?

10. AlphaGo uses which key techniques?