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. Which of the following statements is true about applying function approximation in reinforcement learning? Select all that apply. a . It can be more

. Which of the following statements is true about applying function approximation in reinforcement learning? Select all that apply.
a. It can be more memory efficient.
b. Linear function approximation can be applied for any type of function accurately.
c. It allows generalization from the learned states.
d. It can help the agent achieve good discrimination.
e. The method results in higher dimensions of the feature space compared to the state space dimension for better resolution.

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