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Which of the following statements are correct regarding off-policy methods (multiple answers may apply)

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The algorithm employs two Q-functions, each designed to function as the unbiased estimator of the other

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The two Q-functions are trained on the same experiences (i.e. samples), but vary in their parameters

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Which of the following distinguishes deep reinforcement learning from supervised learning

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Apprenticeship learning is incapable of adapting to previously unseen circumstances because of the need to re-calculate the policy at each time step

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The forward training algorithm is effonective at adapting to new circumstances, but it is computationally expensive

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Let there be a robot whose only source on input is a mounted camera. Which of the following statements is correct

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policy iteration: state True/false 1. Policy evaluation uses the Q-value of the different actions in order to update the current value estimation

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by Rahaf Sbeh
Rahaf Sbeh 0 נקודות · לפני 3 שעות
מוניטין: 1
each state to improve V by current policy
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POLICY ITERATION Policy improvement can’t be applied on more than one state at a time, because doing so would change the current policy used for the evaluation of other states

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19. Which of the following statements regarding actor-critic methods is correct:

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