AI$/$computer science question: Q$8$ : Reinforcement Learning RL

$1.$ What is the exploration vs$.$ exploitation dilemma and how is it handled in RL algorithms?

$2.$ How do you evaluate the performance of an RL agent?

$3.$ What are the main challenges in RL $($e$.$g$.,$ sample efficiency, stability, exploration$)?$