In the world of decision-making, an intriguing challenge confronts us — the quest to learn the most favorable choices through a process of trial and error, with the aim of maximizing rewards and avoiding penalties. This challenge, intriguingly, aligns closely with a fundamental concept in computer science: reinforcement learning. …