What does the state$-$value function $\backslash$pi $()$ represent in Reinforcement Learning?

Group of answer choices

The function used to update the policy parameters during learning.

The goodness of any given state for an agent who is following policy

The probability of transitioning to the next state given a current state$-$action pair.

The expected cumulative reward for taking a specific action in a given state.