What is the role of the "discount factor" $(\backslash$gamma $\backslash$gamma$\backslash$gamma $)$ in reinforcement learning?

Group of answer choices

It discounts future rewards to balance their importance relative to immediate rewards

It determines the learning rate of the algorithm

It balances the trade$-$off between exploration and exploitation

It reduces the variance of the gradient estimates