Reinforcement Learning Explained: How AI Learns Through Trial and ErrorIntroduction
Imagine teaching a child to ride a bicycle. At first, the child may struggle to maintain balance, turn correctly, or avoid obstacles. With every attempt, the child gains experience, learns from mistakes, and gradually becomes more confident. No one needs to explain every possible movement in advance. Instead, improvement comes through practice, feedback, and repeated…