Engineering AI: Navigating Belief and Planning

This chapter examines the interplay between engineering advancements in AI and the scientific principles that underlie them, such as belief space in robotics. It highlights the importance of effective reasoning and hierarchical planning in decision-making, particularly in complex environments like autonomous driving. The discussion also contrasts model-based and model-free approaches in reinforcement learning, emphasizing tailored strategies for different problem-solving scenarios.