DRL

When applying DAgger with coaching, we (multiple answers may apply)

1

מיין לפי

Which of the following statements is correct regarding model-based learning (multiple answers may apply)

1

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Which of the following statements are correct regarding policy gradients algorithms (multiple answers may apply)

1

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The problem of model bias stems from the fact that a given sampling of the dynamics may be represented by multiple functions, with us being unable to know whether we overfit.

1

true

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

1

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When using Experience replay in DQN (multiple answers may apply):

1

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Distillation produces a more efficient model after the training is complete, but requires additional steps during training

1

true

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Which of the following statements is true regarding Actor-Mimic Networks (AMN). (multiple answers may apply):

1

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The update of the REINFORCE algorithm is carried out using the formula (2020 A, 13)

1

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When applying pre-trained networks to a new dataset, attention models can be used to determine how much weight to assign to the input of each network

1

true

מיין לפי

Discuss, Learn and be Happy דיון בשאלות

When applying DAgger with coaching, we (multiple answers may apply)

Which of the following statements is correct regarding model-based learning (multiple answers may apply)

Which of the following statements are correct regarding policy gradients algorithms (multiple answers may apply)

The problem of model bias stems from the fact that a given sampling of the dynamics may be represented by multiple functions, with us being unable to know whether we overfit.

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

When using Experience replay in DQN (multiple answers may apply):

Distillation produces a more efficient model after the training is complete, but requires additional steps during training

Which of the following statements is true regarding Actor-Mimic Networks (AMN). (multiple answers may apply):

The update of the REINFORCE algorithm is carried out using the formula (2020 A, 13)

When applying pre-trained networks to a new dataset, attention models can be used to determine how much weight to assign to the input of each network