Rencently I’m doing a research about Bayesian Optimization but there are somethings I don’t really understand. I know that BO use acquisition function to balance between exploration and exploitaion. We can add a parameter (epsilon) to adjust which we want more exploration or exploitation. But how does the parameter do it? Like with the PI and EI acquisition function, why big epsilon can make the algorithm more exploration and vice versa?