Challenges in deep reinforcement learning

The development of reinforcement learning algorithms is explored, from simple trial and error methods to more complex methods of deep reinforcement learning. It also discusses the problems and limitations of reinforcement learning and its potential applications in various fields such as robotics, gaming, and healthcare. The conclusion summarizes the main findings and suggests directions for future research.