Understanding AI Learning Mechanisms

This chapter examines the capabilities of artificial intelligence (AI) in learning and adapting through games, contrasting human learning speed with AI’s training requirements. It explores the principles of reinforcement learning, the complexities of reward systems in various environments, and the evolution of machine learning methods such as deep learning. Additionally, it highlights the architecture of neural networks, their application in processing different data types, and the significant advancements that have shaped AI's current landscape.