Reviving Reinforcement Learning

This chapter explores the resurgence of reinforcement learning, tracing its historical roots and examining its complex mechanics in agent-environment interactions. It discusses the application of reinforcement learning in industrial projects, emphasizing its challenges, unique data dynamics, and the importance of careful modeling. Additionally, the chapter looks ahead to future advancements in RL, particularly with the integration of deep learning technologies aimed at creating fully automated environments.