DRL

The gated transformer’s gating function is designed to modify the sequential state representation of a trajectory (shi7zor)(23 a)

1

true

מיין לפי

4. [Imitation Learning] Which of the following statements is true regarding Dagger (multiple answers may apply):(2023 a)

1

מיין לפי

a) Both the DQN and REINFORCE algorithms often improve their performance by the inclusion of an unbiased estimator. – true

1

true

מיין לפי

7. [Transfer learning] Which of the following statements is not true regarding the Actor-Mimic approach:(23.a)

1

מיין לפי

b) In Forward Training, we perform multiple policy updates along each trajectory, thus enabling the model to update its policy very quickly (23)

1

true

מיין לפי

10. [AlphaGo/Zero] Which of the following statements is true regarding AlphaGo and AlphaZero:(23)

1

מיין לפי

16. [Model learning] Which of the following statements is correct regarding Informed Exploration:(23)

1

מיין לפי

19. [Model learning] Which of the following statements is correct regarding the training of DRL agents on latent state spaces (multiple answers may apply)(:23.a)

1

מיין לפי

1. [AlphaGo & AlphaGoZero] Which of the following statements is correct regarding AlphaGo):

1

מיין לפי

a) When dealing with large state/action spaces with sparse rewards, using artificial goals (i.e., goals not originally defined in the problem setup) can assist the DRL agent in converging.

1

true

מיין לפי

Discuss, Learn and be Happy דיון בשאלות

The gated transformer’s gating function is designed to modify the sequential state representation of a trajectory (shi7zor)(23 a)

4. [Imitation Learning] Which of the following statements is true regarding Dagger (multiple answers may apply):(2023 a)

a) Both the DQN and REINFORCE algorithms often improve their performance by the inclusion of an unbiased estimator. – true

7. [Transfer learning] Which of the following statements is not true regarding the Actor-Mimic approach:(23.a)

b) In Forward Training, we perform multiple policy updates along each trajectory, thus enabling the model to update its policy very quickly (23)

10. [AlphaGo/Zero] Which of the following statements is true regarding AlphaGo and AlphaZero:(23)

16. [Model learning] Which of the following statements is correct regarding Informed Exploration:(23)

19. [Model learning] Which of the following statements is correct regarding the training of DRL agents on latent state spaces (multiple answers may apply)(:23.a)

1. [AlphaGo & AlphaGoZero] Which of the following statements is correct regarding AlphaGo):

a) When dealing with large state/action spaces with sparse rewards, using artificial goals (i.e., goals not originally defined in the problem setup) can assist the DRL agent in converging.