Part 2/10:
Imitation learning, also known as supervised learning, involves learning by observing and mimicking expert behaviors. This approach has been employed in early AI models, like AlphaGo, which initially learned how to play Go by studying human game patterns. Conversely, trial-and-error learning, or reinforcement learning, empowers AI to explore, make mistakes, and ultimately discover optimal strategies autonomously.