Question 1

What does the Gensim library primarily offer for NLP tasks?

Options :

A : Named entity recognition

B : Sentiment analysis

C : Text preprocessing and vectorization

D : Topic modeling and document similarity

Answer: D

Question 2

In dynamic programming, what does the term "policy evaluation" refer to?

Options :

A : Comparing different policies for effectiveness

B : Updating the policy based on new data

C : Selecting the best action in each state

D : Calculating the value function for a given policy

Answer: D

Question 3

Which feature distinguishes SAC from other off-policy algorithms like DDPG and TD3?

Options :

A : Use of soft Bellman backup

B : Implementation of target network updates

C : Use of deterministic policy

D : Application of experience replay

Answer: A

Question 4

How does the Dueling DQN architecture enhance the learning of value functions?

Options :

A : By incorporating a second experience replay buffer for improved stability

B : By combining Q-values with advantage values to better separate value and advantage estimates

C : By adding a recurrent layer to capture temporal dependencies

D : By using a separate network to compute the discount factor for future rewards

Answer: B

Question 5

Which strategy is commonly used to address the exploration-exploitation trade-off in the Multi-Armed Bandit problem?

Options :

A : Temporal Difference Learning

B : Value Iteration

C : Gradient Descent

D : Epsilon-Greedy

Answer: D

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