Explain the exploration-exploitation dilemma in reinforcement learning.

The exploration-exploitation dilemma in reinforcement learning refers to the trade-off an agent faces between exploring the environment to discover new and potentially better actions and exploiting its current knowledge to maximize its immediate reward. Exploration involves trying out actions that the agent has not yet tried or that it does not have a good estimate of their value, while exploitation involves selecting the action that the agent believes will yield the highest reward based on its current knowledge. If the agent only exploits, it might get s....