Question 12
Consider the following algorithm for learning action-value estimates in an episodic MDP:
Based on the above data, answer the given subquestions.
In the given pseudocode, the algorithm maintains two value functions,
and
, and updates them alternately.
Which of the following best describes the purpose and effect of this design choice?
It ensures that the same target network is used for both selection and evaluation, improving stability.
It ensures the overall estimate equals the true expected return by averaging
and
.It decorrelates the selection and evaluation of the greedy action, reducing overestimation bias.
It doubles the effective learning rate by updating two estimators in parallel.