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Reinforcement Learning · Quiz 2 · 4 Aug 2024 · May 2024 term

Question 10: Consider a reinforcement learning agent navigating a com…

Question 10

+2 marksOne correct option

Consider a reinforcement learning agent navigating a complex environment with sparse rewards. Which of the following statements accurately describes a key advantage of using Double Q- learning in this scenario?

  1. A

    Double Q-learning helps to reduce the variance in action value estimates, leading to more stable learning.

  2. B

    Double Q-learning is guaranteed to converge to the optimal policy even with non-linear function approximation.

  3. C

    Double Q-learning requires fewer samples to achieve the same level of performance compared to traditional Q-learning.

  4. D

    Double Q-learning is less sensitive to hyperparameter tuning, making it easier to train in complex environments.

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Correct answer

  • A

    Double Q-learning helps to reduce the variance in action value estimates, leading to more stable learning.

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Question 10 of 16 in the IIT Madras BS Reinforcement Learning (Reinforcement Learning) Quiz 2 paper sat on 4 Aug 2024, in the May 2024 term (IIT M DEGREE AN EXAM QDB2 4 Aug 2024). It carries 2 marks.

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