Navigating Complexity in Robotics and Reinforcement Learning

This chapter explores the complexities of reinforcement learning in robotics, especially when managing large action spaces beyond traditional games. It emphasizes potential applications in various sectors like self-driving cars and drones, while discussing the crucial role of quantum representation in addressing these challenges.